SLSQ327R42

Note: There is a strong preference for the candidate to be based in Stockholm, though we are open to strong candidates located in Denmark or Finland.

Want to help solve the world’s toughest problems with data and AI? This is what we do every day at Databricks.Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today’s ultra-competitive landscape.

As a Core Enterprise Account Executive, you will own a focused territory of ~10 large Enterprise spending accounts across the Nordics. As a successful candidate, you are a high-achieving sales professional and self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, are always prospecting and identifying new use cases and growing consumption, and can guide deals forward to compress decision cycles. You love understanding a product in-depth, and are passionate about communicating its value to customers and partners. You will report to the Director of Enterprise Sales, Nordics. 

The impact you will have:

• Assess your territory and develop a successful execution strategy 
• Drive quarter-on-quarter consumption growth in existing accounts
• Exceed activity and quarterly revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Identify new use case opportunities and showcase value to existing customers
• Promote the value of the Databricks' Data Intelligence Platform 
• Ensure 100% satisfaction among all customers

What we look for:

• Minimum 4+ years of sales experience in the software industry, preferably in open source, data platform, AI/ML Infra, Observability, cloud infrastructure or cloud security 
• Experience growing consumption, and closing commit deals in a direct sales role
• Proven track record of exceeding sales targets/quotas
• Advanced understanding of MEDDPICC and Value Selling
• Competent with prospecting research and ability to map out key stakeholders
• Business fluency in English and a Nordic language is required
• Bachelor's Degree or relevant work experience

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

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

This role is part of our Experience & Engineering team based in the Netherlands. We combine our skills in developing future-ready technical solutions with our expertise in creating beautiful designs to deliver exceptional and engaging digital experiences that build lasting relationships with our clients like Gant, Inter Milan, bol.com and Just Eat Takeaway.

JOB PURPOSE

Looking to kick off your engineering career as a data engineer?

During this internship, you’ll join our talent program designed to shape you into a productive data engineer, capable of working in a multidisciplinary team. We’ll share all the knowledge we have and provide you with the attention, feedback, challenges and support you need to grow into a standout professional.

In short, our goal is to help you reach your full potential.

A data engineer is the engineer who makes data useful. One moment you’re building pipelines that move and transform data from multiple systems, the next you’re modeling datasets that enable analytics, automation and smarter decision making.

You’ll help create the foundations that power digital products, customer insights and AI-driven solutions.

From day one, you’ll be paired with a dedicated mentor for 1-on-1 coaching and join a team of passionate engineers always ready to help. You’ll work on real client projects, gaining hands-on experience with modern data platforms and solving real business problems.

By the end of your internship, you’ll have built practical experience in modern data engineering and contributed to projects for A-list clients.

Take it from us, your resume will be more than ready for a future in the digital industry.

Please note: to be eligible for this internship, you are required to be living and studying in the Netherlands.

KEY RESPONSIBILITIES

• Dive into exciting projects for clients like BOLIA, Tikkie, Foot Locker, BOLIA and bol.com
• Work alongside experienced data engineers and analytics engineers on real projects, learning and contributing from day one
• Build and improve data pipelines using technologies such as Python, SQL, Airflow and dbt
• Work with modern cloud data platforms such as BigQuery, Snowflake or Databricks
• Ingest and transform data from APIs, databases, SaaS platforms and event streams
• Help model clean, reliable datasets for analytics, reporting and activation use cases
• Contribute to data quality, testing, observability and automation practices
• Collaborate with developers, analysts and strategists to turn data into business value
• Explore how AI and automation can improve data products and engineering workflows.

WHAT WE ARE LOOKING FOR

• Even if you don’t tick every box, that doesn’t mean we’re not a match. If you feel like this role could be right for you, just go for it and apply.
• You are passionate about data, technology and solving problems
• You have a proactive attitude, are naturally curious, and stay aware of trends in data and AI
• You have experience through studies, projects or side projects with programming or data work
• You have a GitHub, portfolio or project work you can share with your application
• You have an interest in topics like data modeling, cloud, analytics or automation
• You might already have experience with Python, SQL or working with data

Hard Requirements

• You are currently enrolled in a Dutch university for the entire duration of the internship
• Availability of 4 days per week, preferably 5, from September 2026 for a duration of 5 months
• You speak technical English fluently - whether writing, presenting or collaborating with the team

NICE TO HAVE

Experience or interest in some of these is a plus:

• Python or SQL
• dbt, Airflow or other orchestration tools
• Cloud platforms like GCP, AWS or Azure
• APIs and data integration
• Git and software engineering fundamentals
• Dashboards or BI tooling (Looker, Power BI, Tableau)
• Basic knowledge of machine learning or AI workflows

WE OFFER

• DEPT® has been named a Great Place To Work in 2023 - in the Netherlands and has been a Certified B Corp® since 2021 -award winning in the best way possible.
• Awesome clients. Whether big, small, local or global — at DEPT® you’ll get the opportunity to work with all of them. And we celebrate all of our successes together!
• A monthly allowance of 450 euros + 50 euro internet allowance.
• Opportunities to develop your skills even further through training and certifications.
• Everything to focus on your health: mindfulness sessions, mental health services, healthy lunches available at the office, and above all: a safe work environment.
• Great fringe benefits; use of OV-bikes, an NS Business Card and many other goodies.

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

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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 solve 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.

As a Senior Engineering Manager, you will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
• Build tools to allow Databricks engineers to operate their services across different clouds and environments
• Build services, products and infrastructure at the intersection of machine learning and distributed systems.

The impact you will have:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• Great at hiring and developing talent, especially leadership
• Great at creating efficient processes that increase velocity and quality
• Managed teams that build and operate high-volume distributed systems in a SaaS environment
• Have experience scaling engineering teams from 5 to 30+
• Team player who will work with other departments
• BS or higher in Computer Science, or a related field

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.

The Team

The Account Executive, focusing on strategic market growth and new logo acquisition, is an integral part of our Benelux Enterprise Sales team. This role focuses on unlocking untapped potential within the enterprise sector (>$5B annual revenue), strengthening our market presence and competitive engagement. Our Account Executive acts as the "CEO" of their territory, implementing complex sales strategies and collaborating with various departments, including Value Engineers, Partners, and Business Development Representatives.

The Role

The primary focus is on driving Celonis’ market expansion by acquiring high-value enterprise customers and transforming strategic research into realized revenue. As an Account Executive, the role is dedicated to leading cross-functional teams, identifying opportunities within the Benelux region, and contributing significantly to our strategic objectives of landing new logos and increasing market share.

The work you’ll do:

Discover and cultivate new business opportunities within a designated set of accounts (+/- 25) within your assigned client industry portfolio.

• Smart territory Planning & Account / Persona research with modern tools and AI.
• Establish and strengthen connections across various levels of the organization, engaging with executives and decision-makers to understand their needs.
• Comprehend the strategic and operational plans and requirements of your target accounts and proficiently articulate and demonstrate how Celonis can address them.
• Lead the sales journey, adhering to a structured approach through prospecting, initial contact, strong qualification, client engagement, platform demonstrations,  needs analysis, solution proposal, negotiation and ultimately closing deals.
• Collaborate with Value Engineering or personally conduct comprehensive presentations and demonstrations tailored to specific use cases, showcasing the value of our solutions. Forge strong partnerships, with leading consulting firms, Regional SI partners, Top Cloud Players (Microsoft, AWS, Databricks).
• Work closely with your virtual team, which includes business development representatives, value engineers, partner managers, and marketing specialists, to ensure seamless collaboration and success.

The qualifications you need:

Demonstrated success in Software as a Service (SaaS) and consultative selling, particularly in roles focused on cultivating new business opportunities and landing new logos.

• Proven track record of landing new customers and a top performing history of attainment.  
• 5+ year experience in selling SaaS, Data & AI solutions. Scale-up experience is preferred.
• Strong outreach skills, high energy and drive, to build new connections and find new opportunities.
• Proven ability to navigate complex sales cycles involving multiple decision-makers.
• Track record of selling enterprise-level software applications to C-level stakeholders.
• Strong business acumen with a solid understanding of business processes and KPIs (e.g. in Finance, Procurement, Supply Chain). 
• Experience in building business cases utilizing value selling methodologies.
• Experience collaborating with partners, such as consulting firms or providers of enterprise technology solutions.
• Selling methodologies: MEDDPICC, Consultative Selling, Value Selling, SPIN selling, Challenger Sales. 
• Excellent command of the English language with strong interpersonal and communication skills. Dutch is a plus.

FEQ227R311

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.

As a Senior Solutions Engineer in the HLS (Healthcare & Life Sciences) Benelux Field Engineering team, 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 who 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 HLS clients in your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for: (Note - you do not need to fulfil every single requirement to be a strong candidate. We are interested in your curiosity and willingness to learn. If you are excited about this role and have relevant/transferable experience, we encourage you to apply!) 

• Strong aptitude and familiarity working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes.
• Experience 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.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Proficiency with Artificial Intelligence, AI Agents, and Big Data Analytics technologies, including hands-on expertise with sophisticated proofs-of-concept and public cloud platform(s). Experience diving deeper into solution architecture and Data Engineering.
• Experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms) and certifications will be advantageous. 
• Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands-on skills will be advantageous for the role. We will be testing your ability to utilise AI-assisted tools through our hiring process!
• Excellent communication skills in English are required as a minimum. Business-level proficiency in Dutch is highly preferred for the role.

Notes on the role: 

• This will be an office-based contract (Amsterdam), with a hybrid schedule.
• An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.   

#LI-hybrid

FEQ427R62

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.

As a Solutions Architect for Strategic Accounts in the Benelux Field Engineering team, 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 who 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: 

• Technical Strategy & Leadership: Lead the technical strategy for key strategic accounts within the Benelux region - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data & AI practitioners, business domains and all the way up to C-level.
• Executive Advisory: Act as a trusted advisor to VP & BU-1 leaders, driving alignment through negotiations and ensuring long-term technical commitment.
• Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.
• Drive Adoption: Move beyond "proof of concept" to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.
• Mentorship: Coach junior team members on technical discovery and complex use-case prioritisation, helping the team maintain high standards at sustained velocity.

What we look for: (Note - you do not need to fulfil every single requirement to be a strong candidate. We are interested in your curiosity and willingness to learn. If you are excited about this role and have relevant/transferable experience, we encourage you to apply!) 

• Experienced in customer interactions in a technical pre-sales capacity and adept at managing complex sales lifecycles. Adept skillset in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.
• Technical spike in AI toolings & solutions combined with broad expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI
  • Experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms) and certifications will be advantageous. 
  • Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™. We will also be looking to assess your skills with AI-assisted coding and tooling. 
• Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilising others to act, even when full information is not available.
• Recognised as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.
• Excellent communication skills in English required as a minimum.

Notes on the role: 

• This will be an office-based contract (Amsterdam), with a hybrid schedule.
• An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.   

#LI-hybrid

FEQ427R300

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.

As a Solutions Architect in the Benelux Field Engineering team, 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 who 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: 

• Technical Strategy & Leadership: Lead the technical strategy for accounts within the Benelux region - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data & AI practitioners, business domains and all the way up to C-level.
• Executive Advisory: Act as a trusted advisor to senior leaders, driving alignment through negotiations and ensuring long-term technical commitment.
• Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface.
• Drive Adoption: Move beyond "proof of concept" to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact.
• Mentorship: Coach junior team members on technical discovery and complex use-case prioritisation, helping the team maintain high standards at sustained velocity.

What we look for: (Note - you do not need to fulfil every single requirement to be a strong candidate. We are interested in your curiosity and willingness to learn. If you are excited about this role and have relevant/transferable experience, we encourage you to apply!) 

• Experienced in customer interactions in a technical pre-sales capacity and adept at managing complex sales lifecycles. Adept skillset in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to switch context and/or levels of technical depth.
• Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset.
  • Experience with cloud platforms (e.g., Databricks, AWS, Microsoft, GCP, or other relevant platforms) and certifications will be advantageous. 
  • Prior experience with coding in a core programming language (i.e., Python, SQL etc.) and willingness to learn Apache Spark™. We will also be looking to assess your skills with AI-assisted coding and tooling. 
• Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilising others to act, even when full information is not available.
• Recognised as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges.
• Excellent communication skills in English required as a minimum. Dutch language skills to a business-proficiency level will be advantageous. 

Notes on the role: 

• This will be an office-based contract (Amsterdam), with a hybrid schedule.
• An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period.   

#LI-hybrid

About the Role

We are building Optiver’s next-generation Enterprise Data Platform on the Databricks Lakehouse. As an Enterprise Data Engineer, you’ll design the curated data models, pipelines, and metrics that make data a trusted asset across Finance, People, and Business Operations.

This is a hands-on role at the center of our data transformation: you’ll shape how business stakeholders access and trust data, working on one of the most modern stacks in the industry

WHAT YOU’LL DO

• Build clean, scalable ELT pipelines using dbt, SQL, PySpark, and Databricks.

• Design curated models and semantic layers to standardize KPIs across Finance, People, and Ops.

• Partner directly with business teams to turn complex requirements into clear, reusable data products.

• Implement governance and quality checks (lineage, testing, role-based access) so data is reliable and secure.

• Deliver data products that power BI tools and self-service analytics.

• Contribute to platform best practices (CI/CD, naming conventions, testing frameworks).

WHO YOU ARE

• Experience in Data Engineering or Analytics Engineering, ideally with exposure to Finance, People, or Business Ops data.

• Advanced SQL and dbt skills, with experience modeling for analytics (dimensional, medallion, vault).

• Hands-on experience with Databricks or equivalent Lakehouse platforms.

• Understanding of data governance and quality frameworks.

• Strong communication skills and the ability to work directly with business stakeholders.

WHO WE ARE

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

WHAT YOU’LL GET

At Optiver, data is central to everything we do. You’ll join a small, high-impact team with a mandate to build best-in-class data capabilities from the ground up. Here, you will:

• Work with a modern Lakehouse + dbt stack, setting the standards others will follow.

• See your models and pipelines directly shape decision-making across the firm.

• Grow alongside experienced data leaders in a culture of excellence, innovation, and continuous improvement.

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.

• The opportunity to work alongside best-in-class professionals from over 50 different countries.

• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.

• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.

• Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.

• Training and continuous learning opportunities, including access to conferences and tech events.

• Competitive relocation packages and visa sponsorship where necessary for expats.

HOW TO APPLY

Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We do not require any assistance from third-parties including agencies in the recruitment of this role

• We cannot accept applications via email’

DIVERSITY STATEMENT

Optiver is committed to diversity and inclusion.

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.

Role Description

• As a Senior Applied AI Solutions Consultant (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be 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 customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good 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.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Management & Technology Consultant - AI & Process Analytics (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be 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 customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good 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.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Engineer, you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be 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 customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good 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.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

Role Description

• As a Senior Applied AI Solutions Architect (Internal Title: Senior Applied AI Engineer), you will work directly with our most strategic customers to understand their objectives and key challenges, identify high-impact opportunities for AI, and turn them into measurable business value. You will be 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 customer-facing role is ideal for people who enjoy working directly with customers and turning complex business challenges into practical AI solutions. The focus is on problem framing, solution design, and business impact rather than pure software engineering. While you will prototype AI solutions, the primary goal is delivering meaningful value for customers.

Key Responsibilities:

• Identify High-Impact AI Opportunities: Work closely with enterprise customers to understand their strategic priorities and operational challenges, identifying where AI can deliver measurable business value.
• Design AI-Powered Solutions: Translate complex business problems into scalable AI solution architectures combining the Celonis Process Intelligence platform with modern AI technologies.
• Prototype & Demonstrate Value: Rapidly build prototypes and proof-of-value solutions that demonstrate tangible outcomes to business and technical stakeholders.
• Lead AI Innovation with Customers: Facilitate workshops, hackathons, and innovation sessions with customers to explore new ways AI can transform their operations.
• Drive Adoption and Business Impact: Partner with customer teams to ensure successful implementation, adoption, and realization of measurable value from AI deployments.
• Develop Domain Expertise: Build deep expertise in specific industries or business domains (e.g., supply chain, finance) and help scale that knowledge across the organization.

You might be a great fit if you...

• have 5+ years of experience in solutions consulting, data / AI consulting, technical pre-sales, sales engineering, value engineering, or customer-facing solution-architecture or AI roles
• enjoy translating business challenges into technical solutions
• can communicate complex technical concepts to business and executive stakeholders
• have a good 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.
• demonstrate strong presentation skills to both internal and external stakeholders (including executives), whether whiteboarding sessions or formal readouts and demos.
• have some experience prototyping solutions with Python and modern AI frameworks
• are familiar with Generative AI architectures such as RAG, prompt engineering, or agent-based systems
• hold a Bachelor’s Degree required (Masters Degree in computer science, engineering, mathematics or related fields, or equivalent work experience is a nice-to-have).

Nice to have (big plus):

• Experience building or deploying generative AI applications
• Familiarity with tools such as LangChain, LlamaIndex, or other LLM orchestration frameworks
• Industry experience in domains such as supply chain, finance, or operations

CSQ327R45

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 & AI Platform Architect (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

As a Candidate Experience Coordinator at Databricks, you'll be the engine that powers our recruiting efforts, scheduling interviews, and moving candidates through the pipeline across Europe. As one of the first points of contact for candidates, you'll partner with Recruiters, Sourcers, and hiring teams to deliver an exceptional interviewing experience.

Responsibilities:

• Build relationships and trust with the broader Talent Acquisition team, cross-functional partners, and hiring stakeholders
• Coordinate high volumes of virtual and in-person interviews by navigating complex scheduling scenarios across multiple stakeholders 
• Serve as the primary point of contact for candidates, managing timely, professional, and friendly communication (written and verbal) to ensure candidates feel supported throughout their journey
• Handle candidate travel arrangements and expenses for in-person interviewing
• Executing other post-interviewing tasks such as scheduling debriefs and reference checks, and generating offer letters.
• Contribute to and identify data-driven improvements and ad hoc projects that enhance our recruitment processes and candidate experience programs

What we're looking for:

• Effective communication and prioritization skills
• The ability to thrive in a fast-paced environment with evolving needs 
• Collaborative mindset and openness to feedback
• Proactive approach to resolving ambiguous challenges 
• A track record of high accuracy and attention to detail
• An interest in technology and artificial intelligence

SLSQ227R570

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

We are looking for a creative, execution-oriented Strategic Account Executive to join the Benelux team to maximise the phenomenal market opportunity that exists for Databricks within the Life Science industry. Your mission will be to grow one of our most strategic customers in partnership with our Global Account Manager. Experience selling to this sector is essential, as is experience in running large complex multi-national accounts. 

Reporting to the Director of Healthcare and Life Science in the Benelux, as a Strategic Account Executive at Databricks you will come with an informed and compelling point of view on the Data, Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers. 

The impact you will have:

• You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals
• You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform
• You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement
• You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions

What we look for:

• You will have experience developing strong relationships with large global enterprises, managing virtual teams, and leading complex sales campaigns in major Life Science accounts 
• You will have experience working in Data, Cloud, or SaaS industries
• Proof of exceeding sales quotas in high-growth Enterprise software companies
• 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 will have experience of value-based selling
• Fluency in English is required

SLSQ327R206

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

As a Strategic Account Executive, you will be responsible for driving the strategic relationship between Databricks and a large Financial Services customer , ensuring the successful adoption and expansion of Databricks solutions. You will work closely with key stakeholders to understand their business needs and challenges and leverage Databricks' technology to deliver impactful solutions.

The impact you will have:

• Develop and execute a strategic account plan for the customer, aligning with their business objectives and goals
• Build and maintain strong relationships with key decision-makers and influencers, including C-level executives
• Identify and pursue new business opportunities within the account , expanding the footprint of Databricks solutions
• Collaborate with Databricks' internal teams, including sales, solutions engineering, and customer success, and external ecosystem partners to ensure seamless delivery and support 
• Serve as the primary point of contact, addressing any issues or concerns and ensuring high levels of customer satisfaction
• Stay informed about industry trends, challenges, and opportunities, and provide insights to help shape Databricks' product and service offerings
• Drive revenue growth by meeting or exceeding sales targets and KPIs

What we look for:

• Proven experience in a global account management role, preferably within the technology or data analytics industry
• Strong understanding of the Financial Services industry, understanding the trends, main challenges and business initiatives
• Excellent communication and interpersonal skills, with the ability to build and maintain relationships at all levels of an organisation
• Demonstrated ability to develop and execute strategic account plans and drive revenue growth
• Strong problem-solving skills and the ability to think strategically and analytically
• Ability to work independently and as part of a collaborative team in a fast-paced, dynamic environment. You will be leading the account team and orchestrating the Databricks resources on the account
• Fluency in English is reqeuired

P-1524; This role is hybrid with 3 days in our Amsterdam office. 

As a Sr. Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. 

The impact you will have:

• Troubleshoot and resolve complex customer issues related to Databricks platform
• Provide best practices support for custom-built solutions developed by Databricks customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What we look for:

• Minimum 4 years of experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired .
• Solid experience with SQL-based database is required.
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Candidate must possess excellent English written and oral communication skills.
• Experience with "Distributed Big Data Computing" environment.
• Technical degree or the 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.
•  

P-1521

Note that this is a hybrid role and the person needs to go to the office, based in Amsterdam, at least 3x a week.

Platform Monitoring Engineer

Mission

At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance 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. 

We are seeking an exceptional Senior Platform Monitoring Engineer to join our Platform Monitoring Team. This is a high-impact technical role for someone who thrives at the intersection of platform reliability, incident response, and customer obsession. You will serve as a critical first responder for the Databricks Platform, leading complex investigations, designing observability solutions, and driving systemic improvements that enhance customer experience and platform stability.

The Impact You Will Have

• Lead platform incident investigation, coordinating cross-functional teams through rapid detection, mitigation, and resolution to minimize customer impact.
• Conduct thorough post-incident root cause analysis across infrastructure, services, and cloud providers to identify systemic patterns and prevent future occurrences.
•  Design and implement customer-focused alerting pipelines and end-to-end observability workflows to enhance detection coverage and reduce mean time to detection.
• Build automation tools, establish reusable monitoring patterns, and resolve reliability gaps that directly impact customer experience.

What We Are Looking For:

• Minimum of 5 years of experience as an SRE, DevOps Engineer, Production Engineer, or similar role.
• Production-level experience with at least one major cloud provider (AWS, Azure, GCP) and proficiency in container and orchestration technologies (Docker, Kubernetes).

• Hands-on experience with monitoring, logging, and alerting tools such as ELK, Prometheus, Grafana, PagerDuty, etc. Ability to architect monitoring solutions that correlate metrics, logs, and traces.

• Strong proficiency in Python or similar languages with the ability to build production-quality automation tools.
• Experience owning critical phases of the incident lifecycle from detection through resolution and post-mortem analysis in demanding production environments.
• BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.

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.

As a Technical Product Manager, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences.

Depending on your background, you will focus on one of two critical product areas:

OLTP Databases

You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.

Data Governance

You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies).

This role requires you to deeply understand both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience. 

You will act as a bridge between technical field teams and product and engineering. Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.

The impact you will have

• Identify and drive impactful product improvements in your domain of expertise
• Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
• Shape and prioritize a meaningful product roadmap
• Support go-to-market efforts and guide product adoption
• For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform

What we look for

• 5+ years of experience with a strong, hands-on technical background
• Strong empathy for customers across full spectrum of Data Platform users 
• Deep domain expertise in one of the following:
• Transactional databases (OLTP), cloud-native databases, or distributed systems
• Data governance, data catalogs, lineage, and access management
• Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
• Strong Python and SQL skills
• Experience using AI-assisted development tools
• Experience with systems design and architecture
• Proven ability to work effectively across product, engineering, and technical field teams

CSQ427R82

As a Sr. Technical Solutions Engineer, you will provide technical support for Neon and Databricks Platform-related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. 

The impact you will have:

• Troubleshoot and resolve complex customer issues related to Neon and the wider Databricks ecosystem
• Provide best practices support for custom-built solutions developed by customers
• Deliver suggestions for improving performance in customer-specific environments
• Assist with issues around third-party integrations with Databricks environment
• Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests
• Participate in the creation and maintenance of company documentation and knowledge articles
• Be a true proponent of customer advocacy
• Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
• Participate in weekend and weekday on call rotation

What we look for:

• A thorough knowledge of PostgreSQL is required. Working and hands-on experience with other SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is desirable 
• Experience of at least one of the following :
• Designing, building, testing, and maintaining Python/Java/Scala based applications, with a thorough knowledge of python.
• Developing with Spark and any of : Big Data, Hadoop, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch
• Linux/Unix administration skills.
• Hands-on experience with AWS, Azure or GCP.
• Candidates must possess excellent English written and oral communication skills.
• Experience with the "Distributed Big Data Computing" environment.
• Technical degree or the equivalent experience.

FEQ426R371

We are looking for a Director, Field Engineering in the Benelux to join our world-class hyper-growth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in the Benelux across the financial services, manufacturing, energy, public sector, healthcare and life sciences, retail and consumer goods, communications, media and entertainment business.

Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. This role will report to the Sr Director, Field Engineering - Benelux & Nordics.

The impact you will have

• Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects
• Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
• Support increased return on investment of Solutions Architect involvement in sales cycles
• Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts
• Promote a solution and value-based selling field-engineering organisation
• Display an understanding of business needs and revenue potential for accounts in the assigned region
• Build Databricks' brand in Benelux in partnership with the Marketing and Sales team

What we look for

• 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals
• Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the EMEA region
• Ability to elevate the engagement with a track record of driving large transactions and high growth customers 
• Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach 
• Proven track record of transformational success and delivery of customer value
• Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing)
• Experience in complex strategic accounts generating +$5M ARR
• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
• Great at instituting processes for technical field members to improve efficiency
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Fluency in English & Dutch required

SLSQ427R300

We are seeking a Senior Sales Director to lead our Strategic Accounts team in the Netherlands. In this role, you will own the go-to-market strategy for our most strategic Benelux customers, set the commercial direction for the team, and scale a high-performing enterprise sales organisation that delivers real transformation with data and AI.

You will lead and develop a team of Global and Strategic Account Executives managing our most valuable relationships, driving growth, deepening executive partnerships, and securing long-term expansion across top accounts. This is a high-impact leadership opportunity with significant influence over our largest customers and a strategic presence in the region. You will help define how industry leaders adopt data + AI at scale and lead the team that makes it happen.

The impact you will have:

• Define and execute the strategic Go-To-Market and revenue plan to exceed annual consumption targets
• Lead, recruit, and develop a team of Global and Strategic Account Executives, raising the bar to best in class
• Drive sales excellence through coaching, joint account strategy, and deal execution
• Establish operational rigour through forecasting, pipeline discipline, and deal inspection
• Build deep, trusted C-level relationships within top enterprise customers in Benelux
• Create trust-based strategic partnerships across industries
• Champion field execution standards and best practices around messaging, sales methodology, and value delivery
• Identify market trends, competitive shifts, and account growth levers with precision
• Create a high-performance culture built on collaboration, accountability, and winning together

What we look for:

• Proven success scaling enterprise sales organisations in high-growth SaaS or cloud environments
• Experience in developing and managing growing sales organisations and building teams of successful and passionate big data, Cloud, or SaaS sales professionals
• Track record of exceeding quota, driving double-digit regional growth, and delivering customer value in a consumption sales environment
• Ability to elevate the engagement with a track record of driving large transactions and high-growth global customers 
• Track record of building strong ecosystems of customer partnerships and cross-functional partnerships
• Strong executive presence with the ability to elevate engagement at C-level
• Demonstrable ability to lead through influence, coach high-performing sellers, and raise the bar
• Proven track record of transformational success and delivery of customer value
• Extensive knowledge of sales methodologies ie Meddicc, Command of the Message, Challenger, Value Selling
• A culture-builder who inspires accountability, ambition, and excellence

RDQ426R402

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.

As a Product Manager on the Lakeflow Jobs team, you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability.

This role requires a deep understanding of orchestration workflows, data pipelines, and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams.

The impact you’ll have:

• Define strategy & roadmap: Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption.
• Drive metrics & observability: Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience.
• Collaborate cross-functionally: Partner with global engineering, field engineering, solution architects, and external partners to deliver impactful features and integrations.
• Champion customer needs: Talk to hundreds of customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads.
• Own the product lifecycle: Write PRDs, release notes, and documentation, and drive launches that ensure customer and business success.

What we look for:

• 5+ yrs of experience
• Bachelors degree in Computer Science or similar field
• Experience in Product Management (inbound, outbound, cross-functional processes)
• Solid understanding of major orchestration tools (Airflow, Dagster, Prefect etc.)
• Technical skills understanding of data pipelines (Spark, dbt, Lakeflow Pipelines)
• Strong data analysis and operationalization skills (SQL, Python, building operational dashboards)
  
  

P-1448

Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Sr. Designated Support Engineer/Premier Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.

Summary: Databricks is seeking an experienced Premier Support Engineer with a strong technical foundation and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Designated Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.

The impact you will have:

• Manage large strategic accounts to provide high-touch support experience
• Project manage all open support cases to expedite support ticket closure
• Facilitate customer correspondence with Engineering, Product Team, SMEs, and Accounts Teams to advance tickets toward resolution
• Directly engage on business-impacting situations and ensure recovery of functionality for the customer.
• Successfully engage with Senior Leadership, Technical and Functional staff to remove roadblocks, address delays and mitigate issues
• Effectively use sound business judgment, risk avoidance and SME resources to coordinate team efforts to solve problems
• Carry out regular reviews of customer cases to identify trends
• Champion and advocate for customers and chair roundtables to ensure close communication and relationship building with key stakeholders
• Drive customer self-sufficiency by ensuring customers understand how to engage with the Databricks Support organization and tools

What we look for:

• 5+  years of customer-facing experience as a Support Engineer, Technical Account Manager, DSE or in related areas 
• Minimum 3 years’ experience designing and developing, testing, and sustaining Python/Java/Scala-based applications required
• Highly effective with project managing multiple tasks and work streams, driving them to conclusion
• Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
• Excellent executive presence. You are an excellent communicator (written and verbal skills), with demonstrable customer communication and coordination efforts, and the ability to take complex technical ideas and translate them to non-technical stakeholders

RDQ426R108

About the Role

• Lead a team dedicated to embedding security into Databricks’ core platforms — including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks.

• Shape company-wide security architecture by driving “secure-by-default” platforms, opinionated frameworks, and systemic guardrails.

• Partner closely with engineering teams to make the secure path the easiest path.

• Eliminate entire classes of security risk through scalable design, not manual reviews or ticket triage.

• Set technical direction and empower engineers to build secure systems at massive scale.

The Impact You Will Have

• Build secure platforms: Integrate security into infrastructure and platform systems from the ground up.

• Create reusable security frameworks: Develop secure reference architectures and automated guardrails that simplify adoption.

• Reduce systemic risks: Identify patterns of architectural weaknesses and drive durable, root-cause fixes across product areas.

• Influence roadmaps: Work with engineering and Red Teams to validate assumptions, improve controls, and strengthen design decisions.

• Scale security leadership: Grow and mentor senior security engineers, ensuring engagement happens early and proactively.

• Drive meaningful outcomes: Within 12 months, your team will enable security frameworks to be adopted by default, eliminate recurring vulnerability classes, and permanently reduce at least one major systemic risk.

What We Look For

• Deep technical background in distributed systems, cloud, or platform security.

• Proven experience securing large-scale, multi-tenant architectures.

• Strong grasp of identity, authorization, isolation, and cryptographic trust boundaries.

• Comfortable influencing principal engineers and product roadmaps.

• Demonstrated success leading technically senior engineers with high autonomy.

• A mindset that focuses on failure chains, not just individual vulnerabilities.

• Passion for building security solutions that are scalable, elegant, and frictionless for developers.

RDQ426R108

About the Role

• Lead a team dedicated to embedding security into Databricks’ core platforms — including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks.

• Shape company-wide security architecture by driving “secure-by-default” platforms, opinionated frameworks, and systemic guardrails.

• Partner closely with engineering teams to make the secure path the easiest path.

• Eliminate entire classes of security risk through scalable design, not manual reviews or ticket triage.

• Set technical direction and empower engineers to build secure systems at massive scale.

The Impact You Will Have

• Build secure platforms: Integrate security into infrastructure and platform systems from the ground up.

• Create reusable security frameworks: Develop secure reference architectures and automated guardrails that simplify adoption.

• Reduce systemic risks: Identify patterns of architectural weaknesses and drive durable, root-cause fixes across product areas.

• Influence roadmaps: Work with engineering and Red Teams to validate assumptions, improve controls, and strengthen design decisions.

• Scale security leadership: Grow and mentor senior security engineers, ensuring engagement happens early and proactively.

• Drive meaningful outcomes: Within 12 months, your team will enable security frameworks to be adopted by default, eliminate recurring vulnerability classes, and permanently reduce at least one major systemic risk.

What We Look For

• Deep technical background in distributed systems, cloud, or platform security.

• Proven experience securing large-scale, multi-tenant architectures.

• Strong grasp of identity, authorization, isolation, and cryptographic trust boundaries.

• Comfortable influencing principal engineers and product roadmaps.

• Demonstrated success leading technically senior engineers with high autonomy.

• A mindset that focuses on failure chains, not just individual vulnerabilities.

• Passion for building security solutions that are scalable, elegant, and frictionless for developers.

P-1345

You will be the Product Manager for the Databricks Runtime team in Amsterdam. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. 

This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Own the end-to-end product management process
• Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product
• Drive launches with product marketing through blog posts, release notes, webinars
• Define and measure OKRs for your products
• Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows.

What we look for:

• 6+ yrs of experience
• Bachelors degree in Computer Science or similar field
• Experience in Product Management (inbound, outbound, cross-functional processes)
• Technical skills
• Solid understanding of cloud infrastructure (AWS, Azure)
• Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)

P-1321

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 solve 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.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 5+ years of experience with HTML, CSS, and JavaScript
• Passion for user experience and design and a deep understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
• Good knowledge of SQL
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Experience in architecting, developing, deploying, and operating large scale distributed systems

P-1127

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

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.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• 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.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

P-1317

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 solve 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.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 2+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Good knowledge of SQL.

P-1320

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 solve 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.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 2+ years of experience with HTML, CSS, and JavaScript
• Passion for user experience and design and a deep understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
• Good knowledge of SQL
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Experience in architecting, developing, deploying, and operating large scale distributed systems

P-1319

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 solve 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.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 7+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Good knowledge of SQL.

P-1319

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 solve 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 Developer Experience team is dedicated to making Databricks engineers happy and highly productive. We build the tools, processes, and infrastructure to accelerate engineering velocity as Databricks scales. The ideal candidate will have a mix of technical expertise in one of language toolchains (Scala, Rust, Python), build systems (especially Bazel), compilers, version control systems, testing but most importantly a passion for solving developer experience problems, and a pragmatic ability to ship results iteratively. 

The impact you'll have:

• Build world-class developer infrastructure that directly empowers every Databricks engineer to do their best work, every day. 
• Dramatically boost the reliability, speed, and efficiency of our largest builds, creating a blazing-fast dev loop and making Bazel a breeze to use.
• Create seamless, out-of-the-box development environments and IDE integrations, allowing engineers to dive into coding and debugging instantly, across all major languages (Scala, Rust, Go, Python, etc)
• Lead pivotal cross-functional projects, influence key architectural decisions, and mentor colleagues to cultivate a culture of innovation and operational excellence.
• Lead thorough evaluations with external vendors, startups, and internal teams to ensure our technology choices are strategically sound and perfectly aligned with our systems and architecture.

What we look for:

• Strong passion for improving developer workflows, productivity and infrastructure.
• In-depth understanding of the software development lifecycle and challenges faced by developers operating at scale.
• Experience with building and managing internal developer tools, CI/CD systems, or related infrastructure.
• Ability to think long-term while delivering incremental, measurable impact. You can balance big-picture strategic thinking with a passion for executing on high-priority initiatives.
• Coding chops, clean, elegant, bug-free code in languages like Scala, Rust, Java, Python, Go
• Minimum of 5 years of experience in fast paced software engineering organisations. 
• BS (or higher) in Computer Science, or a related field.

P-1318

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 solve 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.

As a software engineer with a backend focus, you will work with your team to build infrastructure and products for the Databricks platform at scale.

The impact you'll have:

Our backend teams span many domains across our essential service platforms. For instance, you might work on challenges such as:

• Problems that span from product to infrastructure including: distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Deliver reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build reliable, scalable services, e.g. Scala, Kubernetes, and data pipelines, e.g. Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 3+ years of production level experience in one of: Java, Scala, C++, or similar language.
• Experience developing large-scale distributed systems.
• Experience working on a SaaS platform or with Service-Oriented Architectures.
• Good knowledge of SQL.

P-1125

Summary

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.

Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has  a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. 

The impact you will have:

• Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
• Attract top talent from across the industry.
• Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
• Represent Databricks at academic and industry conferences & events

What we look for:

• 9+ years of experience in Data Security or related areas  and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
• 15+ years of experience building large scale distributed systems with high availability
• Leadership skills and experience to lead across functional and organizational lines
• Strong communication skills to explain and evangelize Data Security to senior leaders across the company
• Bias to action and passion for delivering high-quality solutions
• MS or Ph.D. in Computer Science or related fields

P-138

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 solve 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.

As an Engineering Manager, you will work with your team to build infrastructure and products for the Databricks platform at scale. We have multiple teams working on different domains.

• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
• Develop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providers
• Build tools to allow Databricks engineers to operate their services across different clouds and environments
• Build services, products and infrastructure at the intersection of machine learning and distributed systems.

The impact you will have:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs.
• Partner with PM, Sales, and Customers to develop innovative features.
• BS (or higher) in Computer Science, or a related field.
• 5 years of Engineering experience and 2 years of Engineering Management experience.