Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Customer experience

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.

Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. 

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG

Mission Brief 

Your main objective will be to work hands-on with our Data Platform, which consolidates all structured and unstructured test, flight, and process data from across the company. Your work will empower data-driven decisions in various departments and enable us to generate valuable insights from cross-departmental data. 

More specifically, you will: 

• Build modern, scalable, and high-performance solutions for our engineering data platform.
• Develop and deploy efficient ETL/ELT processes to ingest, transform, and load a large amount of data from diverse sources.
• Contribute to data modeling and architecture decisions to ensure consistency, availability, low latency, and long-term maintainability of the data landscape.
• Ensure data quality through validation processes and adherence to data governance policies.
• Provide observability for the Data Platform processes, enabling a quick reaction to any disruptions.
• Author technical and user documentation.
• Guide less experienced engineers by sharing your knowledge and expertise. 

Who you are and what you have 

• Highly proficient with batch and streaming data processing
• Hands-on experience with OLAP, DeltaLake and Iceberg storage frameworks
• Excellent SQL proficiency for data querying, transformation, and analysis
• Understanding of time series data and signal processing (e.g., sampling rates, decimation, frequency domains, and data integrity)
• Solid understanding of data architectures (lakehouse, warehouse, data streaming, medallion pattern)
• Practical experience with Apache Spark, PySpark, Python and DataFrame handling
• Experience with Data Platforms (e.g., Microsoft Fabric, Azure Data Factory, Databricks, or Snowflake) 

Nice to Have (Optional): 

• Experience with Python query engines (e.g. polars, duckdb)
• Experience with Kafka and Kafka related technologies (e.g. Apache Flink)
• Understanding of infrastructure, cloud services and network 

Benefits 

• Employee Participation Program: Share in our success through our virtual company share program
• 30 days of vacation: Enjoy the days off to relax and recharge
• Company pension plan: Secure your future with our company pension plan, featuring a 20% employer contribution after the probation period
• Subsidised lunch: Stay energised with delicious, subsidised lunches every day
• Public transport ticket: Commute with ease using a fully financed Deutschlandticket
• Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass)
• Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
• Childcare allowance: Receive a childcare allowance for your non-school-age children
• And Much More! Discover additional perks and benefits when you join our team        

Who we are

We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space.

Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations.

We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation.

We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career!

Want to find out more about us?

Visit www.isaraerospace.com

Data Protection

We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy.

Disclaimer

Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply.

About Buynomics:  

Buynomics is the next-generation SaaS company in pricing and product optimization. It employs large-scale simulation technologies to digitize customers and predict their purchase behavior - in any environment. Our clients use Buynomics to make data-driven decisions about their current and new products, overall portfolio structure, pricing, promotions, trade terms, and more, 100x faster and more precisely than every other solution.

Our mission is to enable transparent, customer-centric commercial decisions. We’re building the operating system for commercial strategy, providing companies with a single source of truth for all market-facing questions related to pricing, products, and promotions.

About the role:  

Buynomics is building a modular, service-oriented platform to power advanced commercial decision-making for enterprise customers.

As we expand from multi-tenant SaaS into enterprise single-tenant deployments, we are looking for a Lead Platform Engineer to design and build our multi-cloud Kubernetes foundation.

This role focuses on:

• Secure single-tenant deployments in customer-controlled environments (Azure-first)
• Kubernetes-based service architecture across clouds
• Scalable infrastructure for distributed compute and ML workloads
• Infrastructure automation, security, and operational excellence

You will operate as a senior technical leader, defining the deployment architecture that enables our next-generation platform to run reliably across AWS, Azure, and GCP.

Why this role:

• Greenfield architecture: You are not inheriting legacy — you are designing the deployment platform from scratch
• Enterprise impact: Your work deploys into Fortune 500 customer environments across industries
• Real autonomy: You make architectural decisions, choose tooling, and own the platform roadmap
• AI-native engineering culture: We are all-in on AI-assisted development — you will work alongside a team that ships with AI daily
• Growth path: As enterprise deployments scale, this role grows into leading a dedicated platform team

What you'll do:  

• Design and implement cloud-agnostic, single-tenant deployment architecture (Azure-first, with AWS and GCP support)
• Build and maintain reusable Infrastructure-as-Code modules (Terraform)
• Define and standardize the Kubernetes platform, including workload isolation, auto-scaling, and security policies
• Implement GitOps-based CI/CD and automated environment provisioning
• Enable scalable execution of compute-heavy workloads (e.g. async job queues, ML training pipelines)
• Design secure networking patterns (private endpoints, VNet/VPC design, DNS, IAM/RBAC, zero-trust principles)
• Establish observability standards (structured logging, metrics, distributed tracing, alerting)
• Own cost governance across customer environments: cost attribution, right-sizing, and spend optimization
• Collaborate with engineering teams to define clean service deployment contracts
• Define platform standards, architectural decision records, and operational runbooks
• Ensure platform compliance with SOC 2, ISO 27001, and GDPR through automated policy-as-code guardrails
• Champion AI-assisted infrastructure workflows — we use AI coding tools across engineering and expect platform tooling to follow suit

What you'll need:

• 6+ years of experience in platform engineering, infrastructure, or DevOps/SRE roles
• Strong production experience in Azure (AKS, Azure AD, Managed Identity, Private Networking)
• Solid experience with at least one additional cloud provider (AWS preferred; GCP a plus)
• Hands-on production experience operating Kubernetes at scale (cluster lifecycle, upgrades, multi-tenancy)
• Deep expertise in Infrastructure-as-Code (Terraform), including module design, state management, and CI integration
• Strong knowledge of cloud networking (VPC/VNet, DNS, private routing, firewall configurations)
• Experience designing CI/CD and GitOps workflows
• Experience operating distributed or high-concurrency workloads
• Understanding of compliance frameworks (SOC 2, ISO 27001, GDPR) and ability to implement compliant infrastructure patterns
• Strong system design skills and ability to operate at Staff-level technical depth
• Ability to navigate ambiguity and move initiatives forward independently

Nice-to-Haves:

• Experience deploying software into customer-controlled enterprise cloud environments (single-tenant / BYOC models)
• MLOps experience (model lifecycle, training pipelines, experiment tracking with MLflow, artifact versioning)
• Databricks integration experience (workspace provisioning, Unity Catalog, job orchestration)
• GPU workload optimization and scheduling
• Experience building Internal Developer Platforms using tools like Backstage, Crossplane, or Humanitec
• Service mesh technologies (Istio, Linkerd) and zero-trust networking patterns
• Policy-as-code tooling (OPA/Gatekeeper, Kyverno)
• FinOps practices and multi-environment cost governance

What we offer:

• Dynamic Environment: Join a truly international and diverse team where your ideas matter.
• Flexible Work Model: Enjoy a remote setup with offices located in Cologne.
• Learning Budget: Take advantage of our employee development and education budget to enhance your skills.
• Local Language Classes: Participate in language lessons to support your integration and personal development.
• Urban Sports Club Membership
• Deutschlandticket
• Personal and professional growth opportunities
• Regular company events 

To ensure a smooth and efficient process and that no applications are overlooked, please apply directly to the role. While we'd love to respond to everyone who reaches out, applying ensures that your application is properly tracked and considered.

Buynomics is proud to be an equal-opportunity employer. This means that we don’t discriminate based on race or ethnic origin, color, the language(s) you speak, where you (or your parents) are from, or whether or not you consider yourself to have a disability. Neither will your age, gender, gender identity, sexual orientation, religion, beliefs, or political opinions play a part in your application with us. We’re a diverse team in so many ways, and we love it that way.

#LI-Remote

RDQ326R15

The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics.

You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks.

The impact you will have:

• You will respond to incidents as part of a distributed 24x7 operations and on-call schedule.
• You will triage and respond to security events and alerts, ensuring quick and effective containment.
• You will contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events.
• You will build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team.
• You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews.

What we look for:

• Bachelor's Degree AND 4+ years experience in Incident Response work OR Master's Degree AND 2+ years experience.
• Strong cloud security background in at least 1 of AWS, GCP or Azure, and working knowledge of the others.
• Knowledge of AI/LLM and agentic capabilities, including effective prompting and use of MCP, agents and agent skills. Prefer experience with building and operating agentic systems in a security setting.
• Broad security subject matter expertise.
• Expertise in few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.).
• Experience with Enterprise Security and SaaS applications.
• Working knowledge of a SIEM and SOAR.
• Experience building Incident Response Tooling and scripting language skills.

Req ID: FEQ427R219

Databricks is looking for a bold, strategic, and execution-oriented senior executive to lead our Energy industry go-to-market (GTM) motion across the Europe, Middle East, and Africa (EMEA) region. As a key member of our global industry GTM team, you will shape and drive how Databricks engages the energy sector in one of the world's most dynamic markets. Reporting to the Global GTM Head for Manufacturing, Transportation, and Energy, you will collaborate deeply on a day-to-day basis with EMEA sales, field engineering, and GTM leadership.

You will operate at the intersection of industry expertise, customer engagement, and commercial strategy, helping Databricks win in a market where data and AI are redefining how energy systems are built and optimized to support future economic growth. If you bring deep industry domain knowledge, the ability to set the vision for AI at the world’s largest energy companies, and a proven track record of harnessing the transformative potential of data and AI to drive real business value, we want to hear from you.

Key Responsibilities:

• Strategic Vision & Executive Engagement: Lead AI vision-setting engagements with top energy accounts, advising CEOs and executive teams on strategic adoption and impact. Cultivate and maintain executive-level relationships with customers, partners, and key industry stakeholders across the EMEA region.
• GTM Strategy & Pipeline Growth: Lead the strategic and operational execution of GTM initiatives across the energy sector in EMEA, including oil and gas, power and utilities, renewables, and mining. Drive pipeline growth and accelerate customer adoption. Define, track, and report on key performance indicators (KPIs) for GTM initiatives, continuously refining plans based on data and field insights.
• Cross-Functional Alignment: Build strong alignment with EMEA sales, field engineering, marketing, partnerships, and product teams. Develop and execute industry-specific GTM programs that convert market opportunity into revenue.
• Thought Leadership & Market Analysis: Develop and deliver thought leadership through industry publications, conferences, and executive briefings to position Databricks as the platform of choice for the industry. Provide ongoing analysis of market trends, competitive dynamics, and customer needs to sharpen our industry strategy and identify high-value growth opportunities.
• Travel regularly to support customer meetings, executive engagements, and industry events.

Qualifications:

• Education: Bachelor's degree in Business, Engineering, or a related field. An MBA or equivalent post-graduate qualification is strongly preferred.
• Industry Leadership: 10+ years of leadership experience in the energy sector. This must include at least 5 years in a GTM, strategy, or business development role within strategic consulting (ex-MBB preferred) and product-led technology companies.
• Commercial Success: Proven success taking technology products or platforms to market with a clear industry focus and measurable commercial outcomes.
• Domain Expertise: Expert-level domain knowledge in one or more of the following areas: subsurface intelligence, industrial AI, energy and commodity trading, and grid resilience. Familiarity with key energy industry standards bodies and frameworks across the EMEA region. Strong understanding of the modern data and AI technology landscape and how it applies to every aspect of the energy sector.
• Soft Skills & Collaboration: Demonstrated ability to influence and lead cross-functional teams without direct authority in a matrixed, fast-moving organization. A track record of building trusted relationships with senior executives in a multilingual, multicultural market like EMEA. Exceptional communication skills—both written and verbal—with the ability to translate technical and data concepts into compelling business narratives for executive audiences.

Location: Berlin, Germany  Remote Status: Fully Remote (#LI-Remote)

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Position Overview

We are seeking a Senior Engineering Manager to lead our globally distributed Data Services team across Europe, Israel, and India. This is a high-impact leadership role responsible for both platform evolution and organizational scaling, including establishing and growing our data engineering hub in India.

You will own systems that sit at the core of LivePerson’s near-real-time data platform, streaming, processing, storing, and serving both meta data and content for conversations at massive scale, enabling analytics, AI application, and customer integration. This role combines:

• Deep technical leadership in distributed data systems
• Strong execution across global teams
• Strategic ownership of platform modernization

You Will: Key Responsibilities & Impact

• Lead & Scale a Global Engineering Organization

• Build, lead, and grow a high-performing, distributed team across EU, Israel, and India
• Drive a culture of ownership, accountability, and operational excellence

• Own the Data Platform Implementation and Support

• Evolve the architecture for near-real-time data platforms
• Lead design decisions across streaming, storage, indexing, and access layers
• Ensure systems are scalable, resilient, and aligned with long-term product strategy

• Deliver at Scale

• Partner with Product and Architecture to translate vision into executable roadmaps
• Drive delivery of a large fleet of microservices running on Kubernetes (GKE)
• Ensure predictable, high-quality releases across a complex distributed system

• Modernize the Data Stack

• Lead migration from legacy Hadoop/Spark environments to modern platforms such as Databricks
• Balance innovation with reliability and business continuity
• Reduce system complexity while improving performance and cost efficiency

• Drive Operational Excellence

• Define and enforce SLOs/SLAs across the data platform
• Own reliability, observability, and incident response processes
• Build scalable on-call and production support models across time zones

• Partner Across the Business

• Act as a key engineering partner to Product, Analytics, and Go-To-Market teams
• Communicate technical strategy, trade-offs, and risks clearly to senior stakeholders
• Align platform capabilities with customer and business outcomes

You Have: Required Skills & Qualifications

• Experience & Leadership

• Bachelor's degree in Computer Science, Computer Engineering, or a related field. 
• 10+ years in software/data engineering, with strong backend or data platform experience
• 5+ years managing engineering teams, including globally distributed organizations
• Strong skills in Agile methodologies.
• Strong communication skills (including English language skills) and organizational skills
• Proven ability to hire, grow, and retain high-performing teams

• Technical Depth

• Strong background in distributed systems and large-scale data platforms
• Hands-on experience with:
• Streaming systems (e.g., Kafka)
• NoSQL databases (e.g., Cassandra)
• Search/indexing systems (e.g., Elasticsearch)
• Deep understanding of real-time vs batch processing trade-offs

• Modern Data Platforms

• Experience with big data frameworks (Spark, MapReduce)
• Exposure to modern data platforms such as Databricks or lakehouse architectures
• Experience driving platform migrations or modernization initiatives

• Cloud & Platform Engineering

• Experience operating microservices in Kubernetes environments (GKE preferred)
• Strong focus on reliability, scalability, and observability

• Communication & Collaboration

• Strong cross-functional communication and highly organized collaboration skills.
• Proven decisiveness in establishing clear ownership boundaries and sticking to decisions to mitigate delays from distributed and unclear boundaries.
• Discipline to document and reference all decisions to ensure the distribution of responsibilities and ownership remains clear and backed by documentation for all stakeholders.
• Ability to influence stakeholders across engineering, product, and business teams.

• Nice to Have

• Experience in conversational AI, contact center platforms, or customer engagement systems
• Experience with Java-based microservices (e.g., Spring Boot)
• Familiarity with data integration patterns (connectors, webhooks, event-driven systems)

Our Benefits & Perks

We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.

💰 Financial Security & Growth

• Additional Pension scheme:  deferred pension scheme (LivePerson contributes 20%), ESPP and annual bonus depending on achievements
• Equipment: Internet and Mobile reimbursement
• Development: Access to internal professional development resources.

👨‍👩‍👧‍👦 Time Away & Family Support

• Flexible Paid Time Off (PTO): Personal time off 33 days , vacation (28 days) and care days (5)
• Paid Public Holidays.

Volunteering Days:  Use them to make a difference in your community. Whether it's a cleanup, supporting a local initiative or holding an “Ehrenamt”, just let us know! We're here to help you create a meaningful impact.

💻 Workplace Flexibility

• Remote-First Model: Be flexible, work flexibly and from anywhere  - no defined working hours or boundaries with offices in Mannheim and Berlin
• Monthly Connection: Join our monthly connection pizza day in the office!

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson: Equal Opportunity Employer

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

Role Overview

The Principal Enterprise Architect is the most senior technical and strategic role within our customer engagement model. You are the "North Star" for the customer’s enterprise transformation, responsible for the structural integrity of the Celonis platform while ensuring it delivers maximum business value. You will bridge the gap between deep data engineering and C-level strategic objectives, acting as the single point of accountability for the customer’s technical and value roadmap.

Key Responsibilities

1. Enterprise Architecture & Strategy

• Architecture Design: Define the overall architecture, data, and cloud strategy for Celonis within the customer’s IT landscape. Ensure scalability, performance, and security across global deployments.
• Platform Governance: Establish architectural principles, policies, and standards. Lead or consult on Architecture Review Boards (ARB) to ensure Celonis remains a "Clean Core" extension of the customer’s ERP (SAP, Oracle, etc.).
• Modernization: Drive enterprise modernization by leveraging techniques like capability mapping and architecting solutions with emergent technologies (e.g., Agentic AI, Process Intelligence Graph).
• Integration Leadership: Design complex data pipelines (OCPM) and integration patterns (ETL/ELT, API ecosystems) that connect disparate systems into a unified Digital Twin of the business.

2. Strategic Value Engineering

• Executive Advisory: Confidently present technical designs and value realizations to CIOs, CFOs, and CTOs, aligning their strategic goals with Celonis' technical capabilities.
• Work with senior stakeholders to establish the Celonis program roadmap.
• Resolve customer escalations orchestrating internal teams efficiently and effectively in a timely manner
• Internalize the customer's strategy and targets and drive Celonis delivery alignment to that strategy, ensuring that we support the customer in solving business-critical problems
• Organize and lead customer advisory boards to address industry-specific challenges and innovations, establishing a structured feedback loop to continuously gather insights and improve products and services.

3. Engagement Leadership

• Single Threaded Lead: Mobilize and lead a multidisciplinary team of Applied AI engineers, Data Scientists, and Domain Experts. Ensure engagements are properly staffed leveraging resources from global cross-functional Celonis teams, such as Servicing, Product & Engineering.
• Product & Engineering Bridge: Act as the primary conduit between the customer’s technical teams and Celonis Product/Engineering to influence the product roadmap and resolve high-stakes technical blockers.
• Capability Building: Help the customer establish and scale a Celonis Center of Excellence (CoE), mentoring their internal architects and process leads.

Technical Qualifications & Experience

• Experience: 12+ years in Enterprise Architecture or a CTO-level role at a major software vendor.
• Architecture Frameworks: Mastery of frameworks such as TOGAF or Zachman.
• Data & Integration:
• Hands-on experience with Big Data technologies (Spark, Kafka, Snowflake, Databricks).
• Deep understanding of SaaS ecosystems (SAP S/4HANA, Salesforce, ServiceNow) and legacy on-premise architectures.
• AI & Innovation: Demonstrated experience in Agentic AI, Machine Learning workflows, and process mining methodologies.
• Security & Compliance: Strong foundation in cybersecurity posture, data privacy (GDPR/CCPA), and SOC2/ISO compliance within cloud environments (AWS, Azure, GCP).
• Strong proficiency in German
• Preferred: Retail Industry Expertise

MaxSuccess Exclusive Benefits & Impact

• Strategic Sponsorship: Partnership with a Celonis Executive Sponsor to drive enterprise-wide adoption.
• Premier Engineering Access: Direct line to Celonis "Feature Teams" for early access to new releases (Alpha/Beta programs).

Enterprise Scaling: Accountability for the long-term success of some of the world’s largest business transformation projects.

Role Overview

The Principal Enterprise Architect is the most senior technical and strategic role within our customer engagement model. You are the "North Star" for the customer’s enterprise transformation, responsible for the structural integrity of the Celonis platform while ensuring it delivers maximum business value. You will bridge the gap between deep data engineering and C-level strategic objectives, acting as the single point of accountability for the customer’s technical and value roadmap.

Key Responsibilities

1. Enterprise Architecture & Strategy

• Architecture Design: Define the overall architecture, data, and cloud strategy for Celonis within the customer’s IT landscape. Ensure scalability, performance, and security across global deployments.
• Platform Governance: Establish architectural principles, policies, and standards. Lead or consult on Architecture Review Boards (ARB) to ensure Celonis remains a "Clean Core" extension of the customer’s ERP (SAP, Oracle, etc.).
• Modernization: Drive enterprise modernization by leveraging techniques like capability mapping and architecting solutions with emergent technologies (e.g., Agentic AI, Process Intelligence Graph).
• Integration Leadership: Design complex data pipelines (OCPM) and integration patterns (ETL/ELT, API ecosystems) that connect disparate systems into a unified Digital Twin of the business.

2. Strategic Value Engineering

• Executive Advisory: Confidently present technical designs and value realizations to CIOs, CFOs, and CTOs, aligning their strategic goals with Celonis' technical capabilities.
• Work with senior stakeholders to establish the Celonis program roadmap.
• Resolve customer escalations orchestrating internal teams efficiently and effectively in a timely manner
• Internalize the customer's strategy and targets and drive Celonis delivery alignment to that strategy, ensuring that we support the customer in solving business-critical problems
• Organize and lead customer advisory boards to address industry-specific challenges and innovations, establishing a structured feedback loop to continuously gather insights and improve products and services.

3. Engagement Leadership

• Single Threaded Lead: Mobilize and lead a multidisciplinary team of Applied AI engineers, Data Scientists, and Domain Experts. Ensure engagements are properly staffed leveraging resources from global cross-functional Celonis teams, such as Servicing, Product & Engineering.
• Product & Engineering Bridge: Act as the primary conduit between the customer’s technical teams and Celonis Product/Engineering to influence the product roadmap and resolve high-stakes technical blockers.
• Capability Building: Help the customer establish and scale a Celonis Center of Excellence (CoE), mentoring their internal architects and process leads.

Technical Qualifications & Experience

• Experience: 12+ years in Enterprise Architecture or a CTO-level role at a major software vendor.
• Architecture Frameworks: Mastery of frameworks such as TOGAF or Zachman.
• Data & Integration:
• Hands-on experience with Big Data technologies (Spark, Kafka, Snowflake, Databricks).
• Deep understanding of SaaS ecosystems (SAP S/4HANA, Salesforce, ServiceNow) and legacy on-premise architectures.
• AI & Innovation: Demonstrated experience in Agentic AI, Machine Learning workflows, and process mining methodologies.
• Security & Compliance: Strong foundation in cybersecurity posture, data privacy (GDPR/CCPA), and SOC2/ISO compliance within cloud environments (AWS, Azure, GCP).
• Strong proficiency in German
• Preferred: Retail Industry Expertise

MaxSuccess Exclusive Benefits & Impact

• Strategic Sponsorship: Partnership with a Celonis Executive Sponsor to drive enterprise-wide adoption.
• Premier Engineering Access: Direct line to Celonis "Feature Teams" for early access to new releases (Alpha/Beta programs).

Enterprise Scaling: Accountability for the long-term success of some of the world’s largest business transformation projects.

• Executive Advisory: Act as the trusted advisor to CIOs and CFOs. You translate complex technical designs into strategic business outcomes and ROI.
• Data Architecture Strategy: Advise on high-performance, near real-time data ingestion strategies (e.g., streaming APIs, Kafka, micro-batching) to ensure the Celonis platform has the right data at the right time.
• Enterprise AI & Governance: Architect secure, enterprise-grade AI solutions. You will champion the use of the Celonis Process Knowledge Graph to ground AI (via RAG) and ensure strict data governance, sanitization, and security.
• Engagement Leadership: Mobilize and direct a multidisciplinary team of Applied AI engineers and Data Scientists. You act as the bridge between the customer and Celonis Product/Engineering to clear complex technical blockers.

• Experience: Principal-level experience in a client-facing, technical role (e.g., Solutions Architecture, Field CTO, Technical Account Management or technically-savvy Engagement or Client Success roles).
• Data Integration: Strong conceptual and architectural understanding of modern data pipelines, including standard batch loads vs. near real-time streaming (Kafka, APIs).
• AI Architecture: Solid grasp of how to securely deploy Generative AI in the enterprise. You understand concepts like Retrieval-Augmented Generation (RAG), private model hosting (Azure OpenAI, AWS Bedrock), and data masking.
• Enterprise Architecture: Conceptual understanding of the modern enterprise stack (some previous hands-on experience with SAP could come handy)
• Executive Presence: Exceptional ability to untangle complex technical challenges and present clear, actionable roadmaps to non-technical executives.
• Language: Strong proficiency in German is required.
• Preferred: Deep domain expertise in the Retail industry.

MaxSuccess Exclusive Benefits & Impact

• Strategic Sponsorship: Partnership with a Celonis Executive Sponsor to drive enterprise-wide adoption.
• Premier Engineering Access: Direct line to Celonis "Feature Teams" for early access to new releases (Alpha/Beta programs).
• Enterprise Scaling: Accountability for the long-term success of some of the world’s largest business transformation projects.

• Executive Advisory: Act as the trusted advisor to CIOs and CFOs. You translate complex technical designs into strategic business outcomes and ROI.
• Data Architecture Strategy: Advise on high-performance, near real-time data ingestion strategies (e.g., streaming APIs, Kafka, micro-batching) to ensure the Celonis platform has the right data at the right time.
• Enterprise AI & Governance: Architect secure, enterprise-grade AI solutions. You will champion the use of the Celonis Process Knowledge Graph to ground AI (via RAG) and ensure strict data governance, sanitization, and security.
• Engagement Leadership: Mobilize and direct a multidisciplinary team of Applied AI engineers and Data Scientists. You act as the bridge between the customer and Celonis Product/Engineering to clear complex technical blockers.

• Experience: Principal-level experience in a client-facing, technical role (e.g., Solutions Architecture, Field CTO, Technical Account Management or technically-savvy Engagement or Client Success roles).
• Data Integration: Strong conceptual and architectural understanding of modern data pipelines, including standard batch loads vs. near real-time streaming (Kafka, APIs).
• AI Architecture: Solid grasp of how to securely deploy Generative AI in the enterprise. You understand concepts like Retrieval-Augmented Generation (RAG), private model hosting (Azure OpenAI, AWS Bedrock), and data masking.
• Enterprise Architecture: Conceptual understanding of the modern enterprise stack (some previous hands-on experience with SAP could come handy)
• Executive Presence: Exceptional ability to untangle complex technical challenges and present clear, actionable roadmaps to non-technical executives.
• Language: Strong proficiency in German is required.
• Preferred: Deep domain expertise in the Retail industry.

MaxSuccess Exclusive Benefits & Impact

• Strategic Sponsorship: Partnership with a Celonis Executive Sponsor to drive enterprise-wide adoption.
• Premier Engineering Access: Direct line to Celonis "Feature Teams" for early access to new releases (Alpha/Beta programs).
• Enterprise Scaling: Accountability for the long-term success of some of the world’s largest business transformation projects.

Role Overview

The Platform Manager is the most senior technical and strategic role within our customer engagement model. You are the "North Star" for the customer’s enterprise transformation, responsible for the structural integrity of the Celonis platform while ensuring it delivers maximum business value. You will bridge the gap between deep data engineering and C-level strategic objectives, acting as the single point of accountability for the customer’s technical and value roadmap.

Key Responsibilities

1. Enterprise Architecture & Strategy

• Architecture Design: Define the overall architecture, data, and cloud strategy for Celonis within the customer’s IT landscape. Ensure scalability, performance, and security across global deployments.
• Platform Governance: Establish architectural principles, policies, and standards. Lead or consult on Architecture Review Boards (ARB) to ensure Celonis remains a "Clean Core" extension of the customer’s ERP (SAP, Oracle, etc.).
• Modernization: Drive enterprise modernization by leveraging techniques like capability mapping and architecting solutions with emergent technologies (e.g., Agentic AI, Process Intelligence Graph).
• Integration Leadership: Design complex data pipelines (OCPM) and integration patterns (ETL/ELT, API ecosystems) that connect disparate systems into a unified Digital Twin of the business.

2. Strategic Value Engineering

• Executive Advisory: Confidently present technical designs and value realizations to CIOs, CFOs, and CTOs, aligning their strategic goals with Celonis' technical capabilities.
• Work with senior stakeholders to establish the Celonis program roadmap.
• Resolve customer escalations orchestrating internal teams efficiently and effectively in a timely manner
• Internalize the customer's strategy and targets and drive Celonis delivery alignment to that strategy, ensuring that we support the customer in solving business-critical problems
• Organize and lead customer advisory boards to address industry-specific challenges and innovations, establishing a structured feedback loop to continuously gather insights and improve products and services.

3. Engagement Leadership

• Single Threaded Lead: Mobilize and lead a multidisciplinary team of Applied AI engineers, Data Scientists, and Domain Experts. Ensure engagements are properly staffed leveraging resources from global cross-functional Celonis teams, such as Servicing, Product & Engineering.
• Product & Engineering Bridge: Act as the primary conduit between the customer’s technical teams and Celonis Product/Engineering to influence the product roadmap and resolve high-stakes technical blockers.
• Capability Building: Help the customer establish and scale a Celonis Center of Excellence (CoE), mentoring their internal architects and process leads.

Technical Qualifications & Experience

• Experience: 12+ years in Enterprise Architecture or a CTO-level role at a major software vendor.
• Architecture Frameworks: Mastery of frameworks such as TOGAF or Zachman.
• Data & Integration:
• Hands-on experience with Big Data technologies (Spark, Kafka, Snowflake, Databricks).
• Deep understanding of SaaS ecosystems (SAP S/4HANA, Salesforce, ServiceNow) and legacy on-premise architectures.
• AI & Innovation: Demonstrated experience in Agentic AI, Machine Learning workflows, and process mining methodologies.
• Security & Compliance: Strong foundation in cybersecurity posture, data privacy (GDPR/CCPA), and SOC2/ISO compliance within cloud environments (AWS, Azure, GCP).
• Strong proficiency in German
• Preferred: Retail Industry Expertise

MaxSuccess Exclusive Benefits & Impact

• Strategic Sponsorship: Partnership with a Celonis Executive Sponsor to drive enterprise-wide adoption.
• Premier Engineering Access: Direct line to Celonis "Feature Teams" for early access to new releases (Alpha/Beta programs).

Enterprise Scaling: Accountability for the long-term success of some of the world’s largest business transformation projects.

Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona. 

Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive.

The Freenow marketplace is a real-time, two-sided platform connecting millions of riders and drivers. Its efficiency and scalability are powered by a sophisticated ecosystem of Machine Learning systems spanning key domains such as Pricing, Allocation, and Marketplace Payment&Risk.

In this role, you’ll help advance our MLOps practices, build the services and the infrastructure that scales ML models from research to real-time production and observe how they impact the daily lives of our users and our business.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun doing it.  Are you ready for your next ride?

YOUR DAILY ADVENTURES WILL INCLUDE:

• Developing and maintaining high-performance, distributed systems that serve ML models at scale with low latency
• Collaborating with Data scientists and Software Engineers to solve business-critical problems in real-time.
• Streamlining online serving for classical and deep learning models to accelerate A/B testing cycles and reduce time-to-market
• Enhancing our MLOps platform capabilities to support AI state of the art
• Implementing ML Monitoring and Observability best practices, including automated data drift detection and self-healing system triggers
• Contributing to the evolution of our MLOps stack and practices.

Our Techstack: Python | Airflow | Java | Kubernetes | Kafka | Databricks |AWS & more

TO BE SUCCESSFUL IN THIS ROLE:

• M.S or B.S in Computer Science, Machine Learning, Mathematics or equivalent technical background with related field
• 3+ years of professional experience deploying, scaling and monitoring ML models in production environment 
• Proficiency in Python. Experience in JVM based programming language (Java, Scala, Kotlin) or GO is highly desirable
• Proven experience with large-scale data processing systems and modern data warehousing 
• Strong grasp of classical ML and Fundamental understanding of modern ML algorithms (e.g. DNN, RL, transformers ) and mathematical optimizations e.g LP, Convex Optimization
• Team player, and an avid learner, with a proven capacity to collaborate seamlessly with diverse teams, including those in data, tech, and product, as well as other stakeholders.
• Clear Communication in English. We are a very diverse team with people from all over the world and English is our language of communication, besides Python.
• Passionate about harnessing Artificial Intelligence and have the will to play an essential role in the future of urban transportation.
• Experience with streaming technologies and real-time data processing (e.g., Apache Kafka, Apache Flink, Feature Stores) is a plus.

BENEFITS & PERKS IN A NUTSHELL:

DIVERSITY, EQUITY & INCLUSION:

Freenow is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work. 

ABOUT US:

Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app. 

In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

Position Overview

Solution Engineers (SEs) at SingleStore are solving some of the most cutting-edge technical challenges in today’s data-driven world. When customers evaluate SingleStore, SEs are their trusted technical experts who evaluate, identify, and demonstrate how SingleStore can solve their mission-critical business needs. As key contributors to our sales organization, Solution Engineers add tremendous value to the customer journey and directly impact company growth and revenue.

In this role, you will be responsible for identifying the technical requirements necessary to deliver business value for our Fortune 1,000 customers. Working in partnership with Enterprise Account Executives, you will help to acquire new customers and expand existing accounts. You will do this by leveraging your technical skill set and business acumen to understand complex solutions and create high-quality demos that resonate with our customers.

Role and Responsibilities

• Partner with Account Executives to close new business (logos) and expand existing accounts
• Design, develop, and deploy Proofs of Concept (POCs) with prospective customers 
• Drive the technical evaluation stage of the sales cycle, acting as the technical lead/subject matter expert (query tuning, load testing, etc.)
• Partner with internal teams (Product, Engineering, etc.) to share feedback on customer needs and requests

Required Skills and Experience

• Fluency in English and Native German
• Experience successfully selling enterprise technologies, preferably databases, distributed systems, or similar products 
• Firm understanding of distributed database fundamentals, including both analytic and transactional processing 
• Expertise executing POCs, with experience designing and deploying complex technologies into existing customer environments
• In-Depth understanding of data platforms, including various competitive products, 5 years minimum (Oracle, SQL Server, Postgres, MongoDB, Snowflake, Databricks, etc.)
• Familiarity with cloud and containerized environments, deployment and orchestration (including Kubernetes) 
• Proficient programming skills in Python, Java, or other programming languages 
• Ability to travel within the region and internationally
• Bachelor’s Degree in Computer Science or other technical field

SingleStore is a global database company that empowers the world’s leading organizations to build and scale cutting-edge AI applications on a unified data platform that supports real-time transactions, analytics, and search. Our platform handles streaming data ingestion, vector search, full-text search, and multi-model data types - all with high performance, petabyte-scale capacity, high user concurrency, and low latency.

As a leader recognized by both Gartner and Forrester Wave, SingleStore serves the world‘s leading data innovators including the top Fortune 500 enterprises. Our 95%+ gross retention rate reflects the strong satisfaction and trust our customers place in the platform.SingleStore is owned by private equity firm Vector Capital and is headquartered in San Francisco, with offices worldwide, including Hyderabad.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

Job Title: Retail and Consumer Goods EMEA Leader

Req ID: SLSQ127R516

This is not a role for someone who wants to inherit a playbook. As the Go-to-Market Leader for EMEA Retail & Consumer Goods, you will architect and execute a category-defining strategy from the ground up. You'll operate with the mindset of a founder of a hyper-growth enterprise—a rare opportunity that demands entrepreneurial instincts, relentless drive, and the courage to build in ambiguity.

Databricks is scaling at extraordinary speed. Databricks is the market share leader in data + AI in Retail & Consumer Goods, and this vertical represents one of the most significant growth opportunities in our portfolio. We need a leader who thrives in white space, who sees undefined territory not as risk but as canvas. You will shape how EMEA's largest retailers and consumer brands harness Data and AI to transform their operations, unlock new revenue streams, and reimagine customer experiences.

You will report to the Global VP of Consumer Industries, but your impact will extend across the entire organization—influencing product direction, shaping partner ecosystems, and setting the strategic agenda for one of our most consequential markets.

The impact you will have:

• A Scalable EMEA Growth Engine Design and execute a go-to-market strategy that doesn't yet exist in its final form. You'll establish C-level relationships with flagship accounts, construct an ecosystem of ISVs, SIs, and alliance partners, and create repeatable motions that accelerate revenue growth across Retail, Consumer Goods, Restaurants, and Wholesale.
• Programmatic Opportunity Capture Identify the highest-value use cases and industry-specific opportunities—demand forecasting, unified customer intelligence, supply chain optimization, real-time pricing—and build scalable programs that systematically convert these opportunities into revenue. You won't pursue targets one at a time; you'll construct the engines, assets, and activation frameworks that allow us to capture entire categories of opportunity across the region simultaneously.
• A Partner Ecosystem from First Principles Identify, cultivate, and scale relationships with the partners who will amplify our reach. This isn't about managing existing relationships—it's about seeing what partnerships should exist and making them real.
• Data-Driven Operational Excellence Use rigorous analysis to surface gaps, inefficiencies, and untapped opportunities within our go-to-market approach. Build the feedback loops and improvement mechanisms that compound our effectiveness over time.
• Sales Plays That Travel Create comprehensive, scalable sales initiatives tailored to EMEA's diverse geographies while contributing frameworks that support Americas and APJ. You'll work cross-functionally to ensure these plays move from concept to revenue.
• Industry Thought Leadership Establish Databricks as the authoritative voice in Retail & Consumer Goods transformation. Author white papers, command stages at premier industry events, and engage C-suite executives with a point of view that shapes how the market thinks about Data and AI.
• Cross-Functional Influence Serve as a trusted advisor across product, sales, pre-sales, marketing, and partner teams. Your credibility will be earned through results, and your influence will extend far beyond your formal remit.
• Market-Defining Content Collaborate with marketing to develop industry-specific collateral, demand generation campaigns, and event strategies that resonate with sophisticated enterprise buyers.
• Sales Team Acceleration Build enablement content and coaching programs that elevate the entire verticalized sales organization—making others more effective is as important as your direct contributions.

What we look for:

• An Industry Insider with Builder DNA You've held senior leadership or practitioner roles in Retail or Consumer Goods. You understand the industry's challenges from the inside—but you're energized by building something new rather than optimizing what exists.
• Entrepreneurial by Nature You've operated in environments where the path wasn't paved. You're comfortable making decisions with incomplete information, moving quickly, and course-correcting based on market feedback. Ambiguity is where you do your best work.
• A GTM Architect You have extensive experience constructing vertical go-to-market programs on technology platforms, working cross-functionally to deliver measurable revenue growth and customer value.
• An Executive Relationship Builder You engage naturally with CXOs and senior business leaders. You create trust through substance, not just polish, and you know how to translate technical capability into strategic business value.
• A Transformation Leader You've led large-scale change initiatives and understand both the technical and human dimensions of enterprise transformation in complex organizations.
• Technically Fluent You possess deep familiarity with the data and AI landscape, retail technology standards, and the broader ecosystem trends reshaping the industry.
• Regulatory Aware You understand the European regulatory environment—GDPR, Greenhouse Gas Compliance, food waste, sustainability reporting—and can navigate these considerations in strategic conversations.
• A Program Operator You've managed complex vertical initiatives end-to-end: gathering requirements, coordinating technical teams, driving marketing alignment, and managing partner relationships to hit milestones.
• A Force Multiplier You have proven ability to train and enable sales teams, making the entire organization more effective at positioning solutions to Retail & Consumer Goods customers.

Multilingual Fluent in English with strong proficiency in French or German.

SLSQ327R124

While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Germany will be considered.

Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day here at Databricks.

As a result of our phenomenal growth, we are looking for a Sales Director, Strategic Accounts to join our growing business in Germany. Leading a team of high performing Strategic Account Executives across the Logistics and Tech verticals, you will be responsible for their continued success — mentoring, guiding, and empowering them to achieve and exceed their goals. You will drive growth by expanding relationships with our most important customers, with a primary focus on strategic account expansion.

This is a fantastic opportunity to build upon a highly capable team within a fast-growing and impactful part of our German sales organisation. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results. This role reports to the RVP for Strategic Accounts Germany.

The impact you will have

• You’ll leverage your network to build a strong talent pipeline and hire exceptional sales leaders as the team grows — raising the bar with every hire.
• Within your first 90 days, you’ll establish a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable outcomes.
• You’ll build and sponsor trusted, executive-level relationships with customers and partners to drive long-term success — staying relentlessly customer-obsessed.
• You’ll coach your team to lead with strong vision-setting, methodology-based selling, and alignment to customer goals and outcomes, elevating performance through accountability and excellence.
• You’ll ensure accurate forecasting and create a predictable, high-growth business through disciplined execution and inspection.
• You’ll develop a deep understanding of Databricks’ technical platform and roadmap, enabling informed decisions that deliver durable customer value.
• You’ll embrace truth-seeking by making data-driven decisions and adapting quickly as insights evolve.

What we look for

• A proven, experience Sales leader with successful history of leading high-performing Enterprise sales teams selling into strategic / global accounts in Germany.
• A strong track record of developing high-performing teams in high-growth Data, AI, Cloud, or SaaS/Tech companies, consistently exceeding ambitious sales targets.
• Extensive knowledge of the Logistics vertical and proven relationships across strategic accounts in this space.
• A talent-first leader who knows how to identify, develop, and retain top performers — building teams grounded in trust, accountability, and shared success.
• Strong understanding of usage-based, commit-based, and service-based revenue models, and how to use them together to drive sustainable growth.
• A history of building and leveraging partner ecosystems, acting as an executive sponsor to expand relationships and unlock customer value.
• Deep commitment to methodology-based sales coaching, including MEDDPICC and a Challenger mindset.
• A disciplined operator with a reputation for accurate forecasting and execution excellence.
• A truth-seeker who makes decisions based on data and adapts quickly as facts change.
• Above all, you live our values: customer-obsessed, company-first, collaborative, and biased toward action.
• Willingness to travel regularly to customer sites, international company meetings and customer events - regionally and internationally.
• Fluency in German and English is essential.

#LI-HS4

Deine Mission bei uns 

• Du analysierst und bewertest die Performance von CRM-Kampagnen und Lifecycle-Maßnahmen (z. B. Open Rate, Click Rate etc)
• Du unterstützt bei Datenanalysen (z. B. in Databricks), inklusive Datenextraktion, -aufbereitung und -bereinigung
• Du leitest datenbasierte Insights und konkrete Handlungsempfehlungen zur Optimierung von Kampagnen und Segmentierung ab
• Du unterstützt bei der Automatisierung und Weiterentwicklung von CRM-Reportings

Deine Erfahrung & Skills 

• Du hast ein ausgeprägtes analytisches Verständnis und arbeitest gerne mit Daten
• Du bringst erste Erfahrung im Bereich CRM, Marketing Analytics oder Data Analysis mit (z. B. durch Praktika oder Werkstudententätigkeiten)
• Du hast idealerweise erste Berührungspunkte mit Tools wie Databricks, Excel/Google Sheets oder BI-Tools
• Kenntnisse in CRM-Tools (z. B. Klaviyo) sind von Vorteil, aber kein Muss
• Du arbeitest strukturiert, sorgfältig und lösungsorientiert
• Du bist neugierig, lernbereit und hast Spaß daran, aus Daten konkrete Maßnahmen abzuleiten
• Du kommunizierst klar und arbeitest gerne im Team

Warum wir? 

Bei The Quality Group arbeiten über 1.200 Menschen mit einer gemeinsamen Mission: Ernährung neu zu denken - gesünder, smarter und mit echtem Mehrwert für die Community.
Wir glauben an Teamgeist, Eigenverantwortung und den Mut, Grenzen zu verschieben. Dabei zählt jeder Beitrag, unabhängig vom Standort oder Bereich.
Je nachdem, wo du bei uns einsteigst, erwarten dich unterschiedliche Benefits, unter anderem:

• Attraktive Mitarbeiterrabatte auf Produkte von ESN & More
• Flexible Arbeitszeiten & Homeoffice-Möglichkeiten
• Zuschüsse zu Mobilität & Fitness (z. B. Wellpass, Deutschlandticket)
• Betriebliche Altersvorsorge
• Workation-Optionen und mehr

Im Bewerbungsprozess erfährst du, welche Vorteile dich an deinem Standort konkret erwarten und was es heißt, Teil von TQG zu sein: Ein Unternehmen, das mit Leidenschaft, Qualität und Mut die Zukunft von Ernährung gestaltet.

Über uns 

The Quality Group (TQG) ist ein innovativer Anbieter von Sporternährungsprodukten und vereint seit 2021 die erfolgreichen Marken ESN und More Nutrition.

ESN ist seit 2004 deutscher Marktführer für Sporternährung und bietet Produkte wie Proteinpulver, Riegel und Supplements, die auf ambitionierte Fitnessziele ausgerichtet sind. More Nutrition, gegründet 2017, steht für gesunde, zuckerreduzierte Ernährungsprodukte und bietet Lösungen für bewusste Ernährung und Gewichtsmanagement – ohne Verzicht.

Die Vision von TQG ist es, Menschen dabei zu unterstützen, die beste Version ihrer selbst zu werden. Mit Leidenschaft und Innovationskraft entwickelt das Unternehmen hochwertige Produkte, die Gesundheit, Leistung und Lebensfreude fördern. Mit einer agilen Unternehmenskultur und spannenden Karrieremöglichkeiten ist TQG nicht nur für Kunden, sondern auch für Mitarbeitende ein starker Partner.  

Das sind wir – The Quality Group – nice to meet you! Now it’s your turn!

Wir freuen uns auf deine Bewerbung! Unabhängig von Geschlecht, Alter, Herkunft oder Identität – bei uns zählt, wer du bist und was du einbringst. Werde Teil unseres Teams und wachse mit uns. 

Deine Mission bei uns 

• Du analysierst und bewertest die Performance von CRM-Kampagnen und Lifecycle-Maßnahmen (z. B. Open Rate, Click Rate etc)
• Du unterstützt bei Datenanalysen (z. B. in Databricks), inklusive Datenextraktion, -aufbereitung und -bereinigung
• Du leitest datenbasierte Insights und konkrete Handlungsempfehlungen zur Optimierung von Kampagnen und Segmentierung ab
• Du unterstützt bei der Automatisierung und Weiterentwicklung von CRM-Reportings

Deine Erfahrung & Skills 

• Du hast ein ausgeprägtes analytisches Verständnis und arbeitest gerne mit Daten
• Du bringst erste Erfahrung im Bereich CRM, Marketing Analytics oder Data Analysis mit (z. B. durch Praktika oder Werkstudententätigkeiten)
• Du hast idealerweise erste Berührungspunkte mit Tools wie Databricks, Excel/Google Sheets oder BI-Tools
• Kenntnisse in CRM-Tools (z. B. Klaviyo) sind von Vorteil, aber kein Muss
• Du arbeitest strukturiert, sorgfältig und lösungsorientiert
• Du bist neugierig, lernbereit und hast Spaß daran, aus Daten konkrete Maßnahmen abzuleiten
• Du kommunizierst klar und arbeitest gerne im Team

Warum wir? 

Bei The Quality Group arbeiten über 1.200 Menschen mit einer gemeinsamen Mission: Ernährung neu zu denken - gesünder, smarter und mit echtem Mehrwert für die Community.
Wir glauben an Teamgeist, Eigenverantwortung und den Mut, Grenzen zu verschieben. Dabei zählt jeder Beitrag, unabhängig vom Standort oder Bereich.
Je nachdem, wo du bei uns einsteigst, erwarten dich unterschiedliche Benefits, unter anderem:

• Attraktive Mitarbeiterrabatte auf Produkte von ESN & More
• Flexible Arbeitszeiten & Homeoffice-Möglichkeiten
• Zuschüsse zu Mobilität & Fitness (z. B. Wellpass, Deutschlandticket)
• Betriebliche Altersvorsorge
• Workation-Optionen und mehr

Im Bewerbungsprozess erfährst du, welche Vorteile dich an deinem Standort konkret erwarten und was es heißt, Teil von TQG zu sein: Ein Unternehmen, das mit Leidenschaft, Qualität und Mut die Zukunft von Ernährung gestaltet.

Über uns 

The Quality Group (TQG) ist ein innovativer Anbieter von Sporternährungsprodukten und vereint seit 2021 die erfolgreichen Marken ESN und More Nutrition.

ESN ist seit 2004 deutscher Marktführer für Sporternährung und bietet Produkte wie Proteinpulver, Riegel und Supplements, die auf ambitionierte Fitnessziele ausgerichtet sind. More Nutrition, gegründet 2017, steht für gesunde, zuckerreduzierte Ernährungsprodukte und bietet Lösungen für bewusste Ernährung und Gewichtsmanagement – ohne Verzicht.

Die Vision von TQG ist es, Menschen dabei zu unterstützen, die beste Version ihrer selbst zu werden. Mit Leidenschaft und Innovationskraft entwickelt das Unternehmen hochwertige Produkte, die Gesundheit, Leistung und Lebensfreude fördern. Mit einer agilen Unternehmenskultur und spannenden Karrieremöglichkeiten ist TQG nicht nur für Kunden, sondern auch für Mitarbeitende ein starker Partner.  

Das sind wir – The Quality Group – nice to meet you! Now it’s your turn!

Wir freuen uns auf deine Bewerbung! Unabhängig von Geschlecht, Alter, Herkunft oder Identität – bei uns zählt, wer du bist und was du einbringst. Werde Teil unseres Teams und wachse mit uns. 

If you’re a passionate problem-solver who loves diving into complex data sets, possesses broad programming savvy and excels at building reliable data pipelines, you’ll love being a data engineer at InterWorks. As part of our Data team, you’ll empower our customers to make well-informed, data-driven decisions. Together, we’ll combine expert application of new software and technologies with a unique perspective on bridging the traditional Business-IT divide. Technical stuff aside, you’ll be part of close-knit and helpful team that delivers nothing but the best work to our customers and each other.

Please note that candidates must be located in Germany and have a valid work permit to be considered.  This is a German based role for native German speakers (and English C1).  

What You’ll Do

• Tackle diverse projects that range in duration from a few days to a few months for clients ranging from local businesses to the Fortune 500
• Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse
• Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning
• Communicate ideas clearly, both verbally and through concise documentation, to various business sponsors, business analysts and technical resources
• Build and implement ETL frameworks to improve code quality and reliability
• Build and enforce common design patterns to increase code maintainability
• Work with disparate data sources (relational databases, flat files, Excel, HDFS/Big Data systems, high-performance analytical databases, etc.) to unify client data

What You’ll Need

Must-Haves:

• Excellent SQL fluency
• Strong ETL proficiency using GUI-based tools or code-based patterns
• Understanding of data-modeling principles
• Passion for delivering compelling solutions that exceed client expectations
• Excellent verbal and written communication
• Strong problem-solving skills
• Business acumen
• A thirst to learn
• Adaptability and flexibility in changing situations
• Strong written and oral communication skills, able to communicate at English and German proficiency at C1 level

What We’d Like You to Have

• Experience with software engineering practices
• Experience with modern data-engineering practices and frameworks
• Experience with integration from semi-structured file and API sources
• Matillion, Fivetran, dbt or other ETL tools
• AWS / Microsoft Azure cloud exposure
• Snowflake / Databricks / Amazon Redshift / Google BigQuery / Azure Synapse

What We Offer

• Work from wherever you want in the region. Choose your work location when not on client site. We are a remote-first company, so we can accommodate almost any home office location 
• You want to keep your carbon footprint small? So do we! That's why every employee in Germany gets a Bahncard 50
• We want you to stay healthy, which is why our employees can enjoy a Wellness Benefit worth €1100 a year to spend on memberships or subscriptions that help us to maintain a healthy body and mind.
• Windows or Mac? 13 inch or 15 inch? Lightweight or heavy-duty? You know what works best for you. Therefore our employees have a wide choice of equipment for their home office, as well as a contribution towards standing desk equipment
• Tech Allowance. To help create the right home environment for you to be comfortable and efficient while working, we offer a Tech Allowance to cover accessories and furniture.
• We InterWorkers like to use our powers for good. As well as undertaking pro bono consulting work, we support our colleagues’ individual charitable passions with dedicated time off for volunteering
• Competitive salaries with room for advancement. Expected Salary range: €60-100K

SLSQ127R247

While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Germany will be considered.

Do you want to help solve the world's toughest business problems with Data and AI? This is what we do everyday here at Databricks.

We are looking for a Sales Director, Strategic Accounts to join our growing business in Germany. Leading a team of Strategic Account Executives across the Retail and CPG verticals, you will be responsible for their continued success — mentoring, guiding, and empowering them to achieve and exceed their goals. You will drive growth by expanding relationships with our most important customers, with a primary focus on strategic account expansion 

This is a fantastic opportunity to build upon a highly capable team within a fast-growing and impactful part of our German sales organisation. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results. This role reports to the RVP for Strategic Accounts Germany.

The impact you will have:

• You’ll leverage your business network to build a strong talent pipeline and hire top candidates as the team grows — raising the bar with every hire.
• Within your first 90 days, you’ll create a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable impact.
• You’ll build and sponsor trusted relationships with customers and partners to drive long-term success in the region — staying customer obsessed in everything you do.
• You’ll ensure accurate forecasting and create a predictable, high-growth business that reflects a company-first mindset and commitment to sustainable results.
• You’ll coach your team to lead with a strong vision setting, methodology-based selling and stay aligned to our customers’ goals and outcomes — helping them raise the bar through excellence and accountability.
• You’ll develop a solid understanding of our product’s technical details and roadmap to earn trust with key stakeholders and make customer-obsessed decisions that drive long-term value.
• You’ll embrace truth-seeking by making decisions based on data — and adapting quickly as the data evolves.

What we look for:

• A proven people leader with 7+ years leading high-performing experienced Enterprise sales teams that sell into strategic global accounts in Germany.
• A proven track record of developing high performing teams in similar high growth, Data, AI, Cloud or SaaS/Tech companies, consistently exceeding ambitious sales goals
• Extensive knowledge of the Retail and CPG vertical, and proven relationships within these accounts.
• You know how to spot and grow great talent — building teams that raise the bar through trust, accountability, and shared success.
• An understand how to balance usage-based, commit-based and service-based revenue models, and use all of them to drive sustainable growth.
• Track record of building strong partner ecosystems, acting as an executive sponsor to expand relationships and unlock customer value.
• Focus and emphasis in methodology-based sales coaching, MEDDPICC, and a challenger mentality
• Accurate forecasting and a disciplined approach to sales execution.
• A truth-seeker - you make decisions grounded in data and adapt quickly as the facts change.
• Above all, you live our values: you’re customer obsessed, company first, thrive on teamwork, and have a bias for action that moves the business forward.
• Willing and able to travel to customer sites on a regular basis is required, as well as some international travel for internal meetings/events.
• Fluent in German and English is essential.

#LI-HS4

SLSQ127R247

While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Germany will be considered.

Do you want to help solve the world's toughest business problems with Data and AI? This is what we do everyday here at Databricks.

We are looking for a Sales Director, Strategic Accounts to join our growing business in Germany. Leading a team of Strategic Account Executives across the Retail and CPG verticals, you will be responsible for their continued success — mentoring, guiding, and empowering them to achieve and exceed their goals. You will drive growth by expanding relationships with our most important customers, with a primary focus on strategic account expansion 

This is a fantastic opportunity to build upon a highly capable team within a fast-growing and impactful part of our German sales organisation. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results. This role reports to the RVP for Strategic Accounts Germany.

The impact you will have:

• You’ll leverage your business network to build a strong talent pipeline and hire top candidates as the team grows — raising the bar with every hire.
• Within your first 90 days, you’ll create a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable impact.
• You’ll build and sponsor trusted relationships with customers and partners to drive long-term success in the region — staying customer obsessed in everything you do.
• You’ll ensure accurate forecasting and create a predictable, high-growth business that reflects a company-first mindset and commitment to sustainable results.
• You’ll coach your team to lead with a strong vision setting, methodology-based selling and stay aligned to our customers’ goals and outcomes — helping them raise the bar through excellence and accountability.
• You’ll develop a solid understanding of our product’s technical details and roadmap to earn trust with key stakeholders and make customer-obsessed decisions that drive long-term value.
• You’ll embrace truth-seeking by making decisions based on data — and adapting quickly as the data evolves.

What we look for:

• A proven people leader with 7+ years leading high-performing experienced Enterprise sales teams that sell into strategic global accounts in Germany.
• A proven track record of developing high performing teams in similar high growth, Data, AI, Cloud or SaaS/Tech companies, consistently exceeding ambitious sales goals
• Extensive knowledge of the Retail and CPG vertical, and proven relationships within these accounts.
• You know how to spot and grow great talent — building teams that raise the bar through trust, accountability, and shared success.
• An understand how to balance usage-based, commit-based and service-based revenue models, and use all of them to drive sustainable growth.
• Track record of building strong partner ecosystems, acting as an executive sponsor to expand relationships and unlock customer value.
• Focus and emphasis in methodology-based sales coaching, MEDDPICC, and a challenger mentality
• Accurate forecasting and a disciplined approach to sales execution.
• A truth-seeker - you make decisions grounded in data and adapt quickly as the facts change.
• Above all, you live our values: you’re customer obsessed, company first, thrive on teamwork, and have a bias for action that moves the business forward.
• Willing and able to travel to customer sites on a regular basis is required, as well as some international travel for internal meetings/events.
• Fluent in German and English is essential.

#LI-HS4

SLSQ127R247

While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Germany will be considered.

Do you want to help solve the world's toughest business problems with Data and AI? This is what we do everyday here at Databricks.

We are looking for a Sales Director, Strategic Accounts to join our growing business in Germany. Leading a team of Strategic Account Executives across the Retail and CPG verticals, you will be responsible for their continued success — mentoring, guiding, and empowering them to achieve and exceed their goals. You will drive growth by expanding relationships with our most important customers, with a primary focus on strategic account expansion 

This is a fantastic opportunity to build upon a highly capable team within a fast-growing and impactful part of our German sales organisation. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results. This role reports to the RVP for Strategic Accounts Germany.

The impact you will have:

• You’ll leverage your business network to build a strong talent pipeline and hire top candidates as the team grows — raising the bar with every hire.
• Within your first 90 days, you’ll create a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable impact.
• You’ll build and sponsor trusted relationships with customers and partners to drive long-term success in the region — staying customer obsessed in everything you do.
• You’ll ensure accurate forecasting and create a predictable, high-growth business that reflects a company-first mindset and commitment to sustainable results.
• You’ll coach your team to lead with a strong vision setting, methodology-based selling and stay aligned to our customers’ goals and outcomes — helping them raise the bar through excellence and accountability.
• You’ll develop a solid understanding of our product’s technical details and roadmap to earn trust with key stakeholders and make customer-obsessed decisions that drive long-term value.
• You’ll embrace truth-seeking by making decisions based on data — and adapting quickly as the data evolves.

What we look for:

• A proven people leader with 7+ years leading high-performing experienced Enterprise sales teams that sell into strategic global accounts in Germany.
• A proven track record of developing high performing teams in similar high growth, Data, AI, Cloud or SaaS/Tech companies, consistently exceeding ambitious sales goals
• Extensive knowledge of the Retail and CPG vertical, and proven relationships within these accounts.
• You know how to spot and grow great talent — building teams that raise the bar through trust, accountability, and shared success.
• An understand how to balance usage-based, commit-based and service-based revenue models, and use all of them to drive sustainable growth.
• Track record of building strong partner ecosystems, acting as an executive sponsor to expand relationships and unlock customer value.
• Focus and emphasis in methodology-based sales coaching, MEDDPICC, and a challenger mentality
• Accurate forecasting and a disciplined approach to sales execution.
• A truth-seeker - you make decisions grounded in data and adapt quickly as the facts change.
• Above all, you live our values: you’re customer obsessed, company first, thrive on teamwork, and have a bias for action that moves the business forward.
• Willing and able to travel to customer sites on a regular basis is required, as well as some international travel for internal meetings/events.
• Fluent in German and English is essential.

#LI-HS4

FEQ427R177

Germany’s strategic Manufacturing and Energy customers are at an inflection point: AI is moving from pilots to platform decisions. This is a rare, once-per-cycle transition where the platform choice will set the pace for the next decade of industrial AI in Germany – shifting from data programmes to AI-driven operations at scale.

This role combines people leadership, business ownership, and executive engagement. You will operate as a player-coach in critical deals while building a high-performing, scalable field-engineering organisation for a consumption-based business.

You report to the Director, Field Engineering.

The impact you will have:

• Build, lead, and scale the pre-sales (Solutions Architect) team for Strategic Manufacturing and Energy customers in Germany, including hiring, coaching, performance management, and career development, and owning coverage for complex industrial stakeholder environments.
• Own pre-sales ROI and effectiveness, including coverage models, prioritisation, and impact on win-rate, sales cycles, and customer adoption
• Act as a player-coach in strategic opportunities by balancing hands-on involvement in the most critical customer engagements with building repeatable motions, artefacts, and coaching mechanisms that scale impact across the team.
• Establish and reinforce a solution- and value-based selling culture, focused on business outcomes, not just technical excellence
• Partner closely with Sales leadership to support forecast accuracy, pipeline quality, and consumption growth in a usage-driven business model
• Engage with C-level and senior executives at strategic customers to build trusted relationships and long-term partnerships
• Drive a scalable adoption model by anchoring partner and PS attach and establishing a crisp pre-/post-sales handshake tied to consumption outcomes (onboarding readiness, adoption milestones, expansion path).
• Represent Field Engineering as part of the regional leadership team, contributing to Databricks’ brand, market positioning, and growth in Germany

What we look for:

• Proven experience building and managing pre-sales or technical field teams in a high-growth environment
• Strong background in data engineering, analytics platforms, databases, or data science, gained through engineering, consulting, or technical leadership roles
• Demonstrated success in consumption-based or SaaS business models, including forecasting, expansion, and customer adoption
• Ability to operate as a player-coach, balancing hands-on deal involvement with scalable team leadership
• Track record of partnering effectively with Sales and cross-functional leaders to drive measurable business outcomes
• Experience establishing repeatable processes that improve efficiency without limiting innovation or ownership
• Passion for the data and AI market and the ability to articulate a clear, executive-level POV on the value of Databricks
• Executive presence with the ability to influence and communicate confidently at C-level
• Fluent German (highly preferred) and fluent English (required)

Role Description

• As a Senior Applied Value Engineering Consultant - Public Sector you are pushing the envelope in solving business-critical problems. You will be working with our most strategic customers understanding their objectives and key challenges, and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI and Databricks. With Celonis’ Process Intelligence (PI) platform we feed operational context to AI so it understands our customers’ business and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to Executives and ensure successful implementation, adoption and value realization in order to increase the footprint of Celonis at those customers. This position will focus on our customers across the Public Sector, you’ll spearhead our mission to make processes work for citizens, government agencies and the planet, creating efficient, resilient processes which will shape a modern, citizen-oriented state. 

Key Responsibilities:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude and don’t shy away from complex problems. Leverage cutting edge AI technologies to rapidly build creative prototypes in customer hackathons solving business critical problems
• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale enabling a fundamental shift in business operations from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform
• Proof projects: End-to-end execution of business-critical Proof-of-Value projects, incl. architecture and deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks.
• Ensure Successful Project Outcome: Value Engineers stay involved with projects until agreed value & adoption thresholds are reached
• Specialize in Domains or Industries: To scale knowledge across the organization Value Engineers specialize in domains (e.g. supply chain) and industries

Requirements:

• 5+ years of experience leading technical pre-sales, including defining AI roadmaps, building compelling ROI/TCO business cases and prototyping of machine learning and generative AI solutions.
• Understanding of generative AI techniques like RAG, few shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning that are used to build high-impact use cases like intelligent chatbots and automated text processors.
• Understanding of business processes across sectors (such as Supply Chain or Finance) with the ability to translate high-level business needs into specific AI use cases.
• Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• Strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience preferred.
• Excellent communication and presentation skills in English and German. The role requires a high level of fluency in German.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails.
• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex)
• Security Certification (SIcherheitsüberprüfung) up to SÜ2

FEQ427R78

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.
• Take ownership of your running projects, driving them forward with strong project management discipline and a high sense of accountability.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions — operating as a trusted advisor.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and at least a base level in Spark.
• Builder mindset with a passion for quick prototyping as well as experience in vibe coding.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Joy in drilling deeper on tough technical questions and solution architecture while always keeping the big picture in mind.
• Experience in the delivery of Retail & CPG industry projects is a strong plus.
• Spikes in production-grade SQL/DWH or ML/AI are advantageous.
• Fluency in German is a strong advantage.

SLSQ427R117

While this role is posted in specific locations, candidates can be based anywhere in Germany.

Databricks operates at the leading edge of the unified data, analytics and AI space. Our customers turn to us to drive the accelerated innovation they need to gain first‑mover advantage in an ultra‑competitive landscape.

As we continue our rapid expansion across Central Europe, we are looking for a creative, experienced Named Account Executive to take the lead on two of Germany’s key enterprise accounts in the Renewable Energy vertical. Reporting to the Director of Enterprise Sales, you will build and deepen strategic relationships, lead high‑impact commercial opportunities and take ownership for delivering performance against ambitious targets - giving you the opportunity to shape the customer’s data and AI strategy, identify and progress high‑value opportunities and turn them into measurable business outcomes.​

The impact you will have:

• You will take full ownership of these key customers, setting a bold strategy to outperform ambitious revenue and consumption goals.
• You will execute with pace and precision, turning strategy into action and consistently exceeding your targets.
• You will build true boardroom‑level trust, acting as the go‑to data and AI advisor for senior and C‑level stakeholders.
• You will continuously create and shape new business, expanding strategic use cases and driving deep, long‑term platform adoption.
• You will mobilise the full Databricks ecosystem to unlock maximum value and measurable outcomes for the customer.
• You will lead high‑stakes, insight‑led negotiations, successfully closing complex, multi‑year opportunities.

What we look for:

• You will have experience developing strong relationships with large Enterprise accounts, managing virtual teams, and leading complex sales campaigns 
• You will have experience of selling Big Data, Data & AI/Analytics or complex cloud technology solutions into large accounts.
• Proof of exceeding sales quotas in high-growth Enterprise software companies
• Experience and/or good understanding of the Energy verticals would be advantageous
• You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams
• You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
• You will have experience co-developing business cases and gaining support from C-level Executives
• You leverage sales methodologies such as value-based selling, MEDDPIC, Challenger sales to manage and close sales opportunities.
• We are a customer first company therefore travel to be onsite with your customers is required (up to 40% travel)
• Fluency in German and English is essential.

#LI-HS4

SLSQ427R117

While this role is posted in specific locations, candidates can be based anywhere in Germany.

Databricks operates at the leading edge of the unified data, analytics and AI space. Our customers turn to us to drive the accelerated innovation they need to gain first‑mover advantage in an ultra‑competitive landscape.

As we continue our rapid expansion across Central Europe, we are looking for a creative, experienced Named Account Executive to take the lead on two of Germany’s key enterprise accounts in the Renewable Energy vertical. Reporting to the Director of Enterprise Sales, you will build and deepen strategic relationships, lead high‑impact commercial opportunities and take ownership for delivering performance against ambitious targets - giving you the opportunity to shape the customer’s data and AI strategy, identify and progress high‑value opportunities and turn them into measurable business outcomes.​

The impact you will have:

• You will take full ownership of these key customers, setting a bold strategy to outperform ambitious revenue and consumption goals.
• You will execute with pace and precision, turning strategy into action and consistently exceeding your targets.
• You will build true boardroom‑level trust, acting as the go‑to data and AI advisor for senior and C‑level stakeholders.
• You will continuously create and shape new business, expanding strategic use cases and driving deep, long‑term platform adoption.
• You will mobilise the full Databricks ecosystem to unlock maximum value and measurable outcomes for the customer.
• You will lead high‑stakes, insight‑led negotiations, successfully closing complex, multi‑year opportunities.

What we look for:

• You will have experience developing strong relationships with large Enterprise accounts, managing virtual teams, and leading complex sales campaigns 
• You will have experience of selling Big Data, Data & AI/Analytics or complex cloud technology solutions into large accounts.
• Proof of exceeding sales quotas in high-growth Enterprise software companies
• Experience and/or good understanding of the Energy verticals would be advantageous
• You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams
• You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
• You will have experience co-developing business cases and gaining support from C-level Executives
• You leverage sales methodologies such as value-based selling, MEDDPIC, Challenger sales to manage and close sales opportunities.
• We are a customer first company therefore travel to be onsite with your customers is required (up to 40% travel)
• Fluency in German and English is essential.

#LI-HS4

SLSQ227R638

while this role is posted in specific locations, suitable candidates can be based anywhere in Germany.

FEQ427R74

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Act as a Solution Architect applying broad technical expertise across the data platform, including data science, machine learning, and business intelligence, while serving as the primary subject matter expert in data warehousing and data engineering.
• Lead the design and implementation of complex, end-to-end modern data architectures, with a deep focus on creating scalable and performant data warehouses and robust data ingestion pipelines.
• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Scale best practices in data warehousing and engineering across your region by authoring reference architectures, how-tos, and demo applications.
• Operate as a trusted advisor, leading discussions on architecture, design, and implementation to ensure the successful adoption of the Databricks Data Intelligence Platform.

What we look for:

• Proven ability to operate as an expert generalist, capable of context-switching between different data disciplines and experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences.
• Spike in Data Warehousing: hands-on experience with data modelling (e.g., dimensional modelling, 3NF), query optimisation, performance tuning, and migrating traditional data warehouses to modern lakehouse architectures.
• Spike in Data Engineering: Expert-level skills in designing, building, and optimising production-grade ETL/ELT pipelines using technologies like Spark.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Proficient with big data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.

FEQ427R168

At Databricks, our core values are at the heart of everything we do. Creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.

As a recognised thought leader, you will be measured by your impact and contributions to impactful initiatives, such as leading SME teams and delivering regular presentations at conferences and industry events. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Lead and manage complex enterprise and strategic customer accounts, ensuring exceptional customer satisfaction and value delivery.
• Serve as a role model within Field Engineering, embodying Databricks' core principles and acting as a recognised leader.
• Collaborate with Field Engineering leadership to mentor and guide the development of Solutions Architects and Senior SAs, fostering team growth.
• Enhance Databricks' technical community presence by developing impactful customer-facing materials and leading workshops, seminars, and industry events.
• Contribute to the development and implementation of regional best practices and efficient processes to improve team effectiveness.
• Cultivate a strong internal network within Databricks, building key relationships with stakeholders across various specialist and product teams.

What we look for:

• Extensive experience in navigating complex customer engagements and the sales lifecycle within a technical pre-sales environment.
• Proven ability to lead strategic business discussions with C-level executives to build strong relationships, orchestrate internal teams, and influence outcomes that drive long-term customer success.
• Strong aptitude for identifying and prioritising key business use cases, strategic resource allocation, and investment strategies to maximise impact.
• Understanding of core programming concepts and a willingness to engage with data and analytics technologies at a conceptual level.
• Experience guiding customers through complex evaluations and a solid understanding of public cloud platforms.
• Expertise in developing and articulating compelling solutions for diverse customer needs and effectively positioning Databricks in a competitive landscape.

SLSQ227R638

while this role is posted in specific locations, suitable candidates can be based anywhere in Germany.

SLSQ227R638

while this role is posted in specific locations, suitable candidates can be based anywhere in Germany.

FEQ327R45

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have:

• Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive. This includes owning the (or parts thereof) technical relationship with clients from a pre-sales point of view
• Become a trusted technical advisor to your customers in the domain of Data Engineering, Data Warehousing and/or Data Science
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
• A proactive mindset who likes to work as a part of a larger account team and enjoys to independently take ownership of technical topics and relationships
• Proficient with Big Data Analytics and/or Data Science technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn Spark.
• Full professional proficiency in German preferred and English required
• Experience in Financial Services and/or Insurances preferred

SLSQ427R139

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today's ultra competitive landscape.

As we continue our rapid expansion across Central Europe, we are looking for a creative, consultative, results-driven Enterprise Account Executive to join our team in Germany. Reporting to our Director of Enterprise Sales, you will focus on developing established commercial relationships and closing new business opportunities within a small, targeted portfolio of existing, enterprise-class clients. By leveraging your expertise in Data and AI, you will provide genuine value to these accounts while driving a highly effective execution strategy

The impact you will have:

• Assess your key accounts and develop a strategy to meet and exceed revenue and consumption goals
• Implement the above strategy to meet and exceed revenue and consumption targets
• Build positive relationships with key decision makers (up to and including C-level) and establish yourself as a trusted advisor for Data & AI-related subjects
• Identify new business opportunities and develop the expand / consumption use cases within your key accounts
• Orchestrate and utilise internal teams to maximise the impact on your ecosystem
• Showcase exceptional value with all engagements to guide successful negotiations to close point

What we look for:

• Successful track record of meeting and exceeding sales quotas and KPIs
• Experience selling to large enterprise-class customers in Germany
• Proven experience selling complex software deals
• Understanding of consumption-based land and expand sales models
• Evidence of creating demand that delivered substantial business value
• Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling, Command of the Message and accurate forecasting
• Experience of building effective champions and collaborative teams to support execution of your territory plan
• Experience of developing a clear partner strategy and managing it to success
• Understanding of how to identify important uses cases and buying centres in order to increase the impact of Databricks within an organisation
• Fluent English and German language skills essential

#LI-HS4

SLSQ427R125

While this role is posted in several locations, candidates can be based anywhere in Germany.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today's ultra competitive landscape.

As we continue our rapid expansion across Central Europe, we are looking for a creative, consultative, results-driven Named Account Executive to join our team in Germany. Reporting to our Director of Enterprise Sales, you will focus on developing established commercial relationships and closing new business opportunities within a small, targeted portfolio of existing, enterprise-class Manufacturing accounts. By leveraging your expertise in Data and AI, you will provide genuine value to these accounts while driving a highly effective execution strategy.

The impact you'll have:

• Strategic Account Ownership: Drive territory growth by developing and executing high-impact strategies to consistently exceed revenue and consumption targets.

• Executive Influence: Establish yourself as a trusted advisor to C-level stakeholders, aligning Databricks’ Data and AI capabilities with their core business objectives.

• Value-Driven Expansion: Proactively identify and scale high-value use cases to accelerate platform consumption and portfolio growth.

• Cross-Functional Orchestration: Mobilise and lead internal expert teams to maximise Databricks’ footprint and impact across your account ecosystem.

• Commercial Excellence: Deliver exceptional business value throughout the customer journey to secure successful, high-stakes negotiations.

• Market Leadership: Navigate the German manufacturing landscape to convert complex technical requirements into long-term strategic partnerships.

What we look for:

• Proven track record of selling Data & AI, Big Data, or complex cloud-based solutions to large enterprise organizations.

• Successful history of meeting and exceeding sales quotas and KPIs within the German Manufacturing sector.

• Expertise in navigating complex software deals, specifically those involving multiple stakeholders and high-value contracts.

• Deep understanding of consumption-based "land and expand" sales models, focusing on driving long-term platform adoption.

• Evidence of creating market demand that delivers substantial, measurable business value to the client.

• Mastery of robust sales methodologies (e.g., MEDDPICC, Value Selling, Command of the Message) and accurate forecasting.

• Skill in building effective "Champions" and leading collaborative internal teams to execute a winning territory plan.

• Strategic partner management, with experience developing and leveraging a partner ecosystem to drive mutual success.

• Ability to identify critical use cases and buying centers within manufacturing to increase the impact of Databricks.

• Willing and able to travel to customer sites, industry and company events - in region and Internationally.

• Full professional fluency in both German and English is essential.

#LI-HS4

SLSQ427R125

While this role is posted in several locations, candidates can be based anywhere in Germany.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today's ultra competitive landscape.

As we continue our rapid expansion across Central Europe, we are looking for a creative, consultative, results-driven Named Account Executive to join our team in Germany. Reporting to our Director of Enterprise Sales, you will focus on developing established commercial relationships and closing new business opportunities within a small, targeted portfolio of existing, enterprise-class Manufacturing accounts. By leveraging your expertise in Data and AI, you will provide genuine value to these accounts while driving a highly effective execution strategy.

The impact you'll have:

• Strategic Account Ownership: Drive territory growth by developing and executing high-impact strategies to consistently exceed revenue and consumption targets.

• Executive Influence: Establish yourself as a trusted advisor to C-level stakeholders, aligning Databricks’ Data and AI capabilities with their core business objectives.

• Value-Driven Expansion: Proactively identify and scale high-value use cases to accelerate platform consumption and portfolio growth.

• Cross-Functional Orchestration: Mobilise and lead internal expert teams to maximise Databricks’ footprint and impact across your account ecosystem.

• Commercial Excellence: Deliver exceptional business value throughout the customer journey to secure successful, high-stakes negotiations.

• Market Leadership: Navigate the German manufacturing landscape to convert complex technical requirements into long-term strategic partnerships.

What we look for:

• Proven track record of selling Data & AI, Big Data, or complex cloud-based solutions to large enterprise organizations.

• Successful history of meeting and exceeding sales quotas and KPIs within the German Manufacturing sector.

• Expertise in navigating complex software deals, specifically those involving multiple stakeholders and high-value contracts.

• Deep understanding of consumption-based "land and expand" sales models, focusing on driving long-term platform adoption.

• Evidence of creating market demand that delivers substantial, measurable business value to the client.

• Mastery of robust sales methodologies (e.g., MEDDPICC, Value Selling, Command of the Message) and accurate forecasting.

• Skill in building effective "Champions" and leading collaborative internal teams to execute a winning territory plan.

• Strategic partner management, with experience developing and leveraging a partner ecosystem to drive mutual success.

• Ability to identify critical use cases and buying centers within manufacturing to increase the impact of Databricks.

• Willing and able to travel to customer sites, industry and company events - in region and Internationally.

• Full professional fluency in both German and English is essential.

#LI-HS4

FEQ427R199

The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakebase product-line requires the following core technical competencies:

• 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.
• Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.
• Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
• Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

 Competencies & Responsibilities

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

FEQ427R199

The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakebase product-line requires the following core technical competencies:

• 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.
• Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.
• Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
• Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

 Competencies & Responsibilities

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

SLSQ327R173

Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.

Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have

• Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.
• Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.
• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.
• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.
• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.
• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.
• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.

What success looks like in this role

This role requires the ability to operate across two key motions simultaneously:

• Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
• Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.

Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.

Success in this role requires strength in four areas:

1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.
2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.
3. Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.
4. Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.

The interview process is designed to evaluate candidates across all four of these dimensions.

What we look for

• 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
• Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
• Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
• Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
• Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
• Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
• Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
• Bachelor’s degree or equivalent practical experience.

Preferred qualifications

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
• Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
• Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
• Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.
• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

This description is intended to outline the core responsibilities and qualifications for the Lakebase Account Executive role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.

CSQ227R43

We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant or Resident Solutions Architect

You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.

As a Data and AI Solution Architect (Professional Services) (Internal Title - Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• Extensive experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 10% of the time
• [Preferred] Databricks Certification but not essential

RDQ127R176

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. 

The impact you will have:

• Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
•  

FEQ227R113

The Solutions Architect (AI/BI) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (AI/BI) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The AI/BI product-line requires the following core technical competencies:

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment
• Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
• Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers
• Demonstrated competence in the Lakehouse architecture including hands-on experience with Apache Spark, Python and SQL

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Competencies & Responsibilities

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

RDQ127R176

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. 

The impact you will have:

• Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
•  

RDQ127R176

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. 

The impact you will have:

• Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
•  

RDQ127R176

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. 

The impact you will have:

• Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
•  

RDQ127R176

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. 

The impact you will have:

• Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
•  

RDQ127R264

This role is open to remote candidates within the Europe, with a preference for those based in London, Netherlands, Germarny or Denmark.

Databricks is seeking an exceptional and strategic  Sr. Staff Security Engineer, Incident Response to join our Incident Response team. This pivotal role will provide decisions that have a direct impact on the long-term success of Databricks' security posture, creating solutions that enable potential future opportunities without a known path. You will play a key role in developing multi-year technology strategy for complete and critical areas of the business, encompassing multiple systems and teams, consistently delivering large-scale projects that meet company goals.

The Incident Response team's mission is to rapidly, efficiently, and standardly respond to security threats, incidents, and investigations to protect our customers, employees, and enterprise data. We leverage Databricks' own platform for near-real-time log analytics, alerting, and forensics, embracing a "Security for Databricks on Databricks" philosophy. As an Sr. Staff Security Engineer, you will tackle the most technical SIRTs, drive complex, open-ended problems with no obvious path to success, act as a multiplier by enabling systems, authoring tools, or introducing policies that elevate the entire organization's productivity.

The impact you will have:

• Strategic Impact & Technical Vision: Drive or influence the organization’s direction and roadmap, leading internal conversations about major technology areas and inspiring adoption. Provide decisions with direct, long-term impact on Databricks' success.
• Incident Leadership & Crisis Management: Lead complex investigations and impact analysis, performing crisis management using the Incident Management System (IMS). Engage with various stakeholders and communicate findings to executive leadership, ensuring successful navigation of major security incidents with minimal business impact.
• Advanced Threat Management: Exhibit expert knowledge in all cloud vendors used by Databricks (AWS, Azure, GCP), deeply understanding the entire architecture of major business components and articulating their security and risk limits. Drive the establishment of a cutting-edge threat detection and response program, significantly reducing Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) to security incidents.
• Technical Innovation & Automation: Architect scalable and organized frameworks for security automation and orchestration, including pre-investigation analysis and triage of alerts. Understand trends and directions of the security industry within your domain and architect large-scale designs consistent with organizational and company goals.
• Problem Solving: Demonstrate the ability to fix difficult and company-impactful problems wherever they lie, even if outside your comfort zone. Possess a full understanding of what malicious activity looks like in each cloud layer (network, storage, compute), understanding existing logs and correlating from multiple sources during an investigation.
• Cross-Functional Collaboration & Mentorship: Serve as a role model and mentor to every technical member of the team. Identify areas where Databricks can share effectively with the outside world, guiding content creation and communication via presentations and blogs. Work across departments, integrating security practices into various aspects of the organization and product development lifecycle.

What we look for:

• Experience: Typically 12+ years of experience in security, with a strong focus on incident response, detection, and/or threat intelligence, or an advanced degree with 8+ years of experience. This includes deep expertise in Incident Management and Incident Response tool development.
• Cloud Security Expertise: Demonstrates knowledge of Azure and AWS cloud concepts, showing expertise in analyzing logs, correlating available log sources to conclude an attack scenario, and identifying logging gaps to suggest best configurations for IR needs. You can function as an architect of cloud deployment and map cloud environment fundamentals to other major providers.
• Digital Forensics: Highly skilled in multiple areas of digital forensics (e.g., Network, Application/Log Analysis, Host/Disk, Memory Forensics/Malware Analysis, Cloud Forensics, Endpoint Forensics), able to speak confidently on advanced concepts like virtualized networking, advanced network anomalies, and container forensics.
• Enterprise Security: Has a detailed understanding of enterprise security incidents and in-depth knowledge of malware on endpoints. Possesses expert understanding of MacOS security posture and architecture.
• Technical Depth: Proficient with SIEM and SOAR platforms, EDR solutions, and forensic analysis tools. Skilled in leveraging AI and automation technologies to enhance security operations and threat detection capabilities.
• Leadership & Communication: Exceptional ability to engage in difficult conversations, handle them appropriately, and exhibit empathy and emotional intelligence. Proven capability to build, mentor, and lead high-performing cybersecurity teams, fostering a culture of excellence and continuous improvement. Strong communication of technical decisions through design docs and tech talks.
• Bias for Action & Collaboration: A history of proactively identifying and solving issues that impact the team and company. Demonstrates a strong desire to help peers and collaborate effectively.
• Customer/Stakeholder Obsessed: Able to push back or say no to unreasonable stakeholder requests in a professional and constructive manner.

SLSQ327R124

While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Germany will be considered.

Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day here at Databricks.

As a result of our phenomenal growth, we are looking for a Sales Director, Strategic Accounts to join our growing business in Germany. Leading a team of high performing Strategic Account Executives across the Logistics and Tech verticals, you will be responsible for their continued success — mentoring, guiding, and empowering them to achieve and exceed their goals. You will drive growth by expanding relationships with our most important customers, with a primary focus on strategic account expansion.

This is a fantastic opportunity to build upon a highly capable team within a fast-growing and impactful part of our German sales organisation. You will strengthen and scale the team through high-impact hiring, hands-on coaching, and by fostering a culture built on collaboration, accountability, and results. This role reports to the RVP for Strategic Accounts Germany.

The impact you will have

• You’ll leverage your network to build a strong talent pipeline and hire exceptional sales leaders as the team grows — raising the bar with every hire.
• Within your first 90 days, you’ll establish a clear regional growth and investment plan, demonstrating a bias for action and a focus on measurable outcomes.
• You’ll build and sponsor trusted, executive-level relationships with customers and partners to drive long-term success — staying relentlessly customer-obsessed.
• You’ll coach your team to lead with strong vision-setting, methodology-based selling, and alignment to customer goals and outcomes, elevating performance through accountability and excellence.
• You’ll ensure accurate forecasting and create a predictable, high-growth business through disciplined execution and inspection.
• You’ll develop a deep understanding of Databricks’ technical platform and roadmap, enabling informed decisions that deliver durable customer value.
• You’ll embrace truth-seeking by making data-driven decisions and adapting quickly as insights evolve.

What we look for

• A proven people leader with 5+ years of experience leading high-performing Enterprise sales teams selling into strategic / global accounts in Germany.
• A strong track record of developing high-performing teams in high-growth Data, AI, Cloud, or SaaS/Tech companies, consistently exceeding ambitious sales targets.
• Extensive knowledge of the Logistics vertical and proven relationships across strategic accounts in this space.
• A talent-first leader who knows how to identify, develop, and retain top performers — building teams grounded in trust, accountability, and shared success.
• Strong understanding of usage-based, commit-based, and service-based revenue models, and how to use them together to drive sustainable growth.
• A history of building and leveraging partner ecosystems, acting as an executive sponsor to expand relationships and unlock customer value.
• Deep commitment to methodology-based sales coaching, including MEDDPICC and a Challenger mindset.
• A disciplined operator with a reputation for accurate forecasting and execution excellence.
• A truth-seeker who makes decisions based on data and adapts quickly as facts change.
• Above all, you live our values: customer-obsessed, company-first, collaborative, and biased toward action.
• Willingness to travel regularly to customer sites, international company meetings and customer events - regionally and internationally.
• Fluency in German and English is essential.

#LI-HS4

SLSQ427R22

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to drive the accelerated innovation they need to gain first-mover advantage in an ultra-competitive landscape.

As we continue our phenomenal expansion across Central Europe, we are seeking a Strategic Account Executive, Life Sciences to join our team in Germany. Reporting to the Director of Enterprise Sales, you will drive consumption growth, build executive relationships, and close new business within one of Germany’s largest pharmaceutical organisations, headquartered in the Rhine-Main region.

As part of the Global Account team on this flagship customer, you will leverage your deep Pharma and Life Sciences experience to shape the Data & AI strategy, advance high-value opportunities, and deliver measurable business impact by steering existing initiatives to successful, scalable outcomes.

The impact you'll have:

• You will be the lead Strategic Account Executive for one of Germany’s largest Life Sciences accounts, driving sustained growth across consumption, expansion, and new business.
• You will consistently exceed growth targets by translating account strategy into clear, measurable commercial outcomes and disciplined execution.
• You will operate as a trusted C-suite advisor, influencing executive decisions and shaping enterprise-wide Data & AI transformation initiatives.
• You will identify, prioritise, and scale high-value use cases, accelerating platform adoption and deepening the customer relationship.
• You will drive partner-led growth, working closely with system integrators and strategic partners to increase deal momentum and customer impact.
• You will orchestrate the Databricks ecosystem to deliver predictable outcomes, long-term value, and sustainable account growth.
• You will lead complex, multi-stakeholder negotiations, closing transformational agreements that strengthen the strategic partnership and support long-term growth.

What we look for:

• Success selling advanced data, analytics, AI, or cloud platforms in complex, multi-stakeholder, multi-year enterprise engagements.
• A proven record of exceeding ambitious revenue goals in complex enterprise sales environments.
• A demonstrated track record of growing large, global enterprise accounts within the Life Sciences / Big Pharma vertical in Germany.
• Deep understanding of consumption-based growth models and how to scale strategic accounts from initial wins.
• Proficiency in structured sales methodologies (Account Planning, MEDDPICC, Value Selling, Command of the Message).
• A history of building champion networks, mobilising partners, and leading cross-functional account teams around a clear account strategy.
• Experience using partners to broaden reach, accelerate deal cycles, and support successful delivery and customer success.
• Candidates with a consulting background who combine a strong sales profile with deep Life Sciences expertise are encouraged to apply.
• Readiness to travel regularly across Germany and internationally to stay closely aligned with customers.
• Fluency in German and English, with the gravitas to influence senior leaders up to C-level.

#LI-HS4