Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

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

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

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

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

The impact you will have

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

Competencies & Responsibilities

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

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

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

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

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

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

The impact you will have

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

Competencies & Responsibilities

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

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

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

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

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

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

The impact you will have

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

Competencies & Responsibilities

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

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

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

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

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

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

The impact you will have

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

Competencies & Responsibilities

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

SLSQ327R208

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 an Emerging Enterprise Hunter Account Executive, you are a sales professional experienced in selling to mid to large sized accounts across the UK and Ireland. You know how to sell innovation and change through customer vision expansion 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. 

Always looking for new opportunities, you will close new accounts and expand them. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.

You will report to the Emerging Enterprise Sales Senior Manager, UKI.

The impact you will have:

• Assess your territory and develop a successful execution strategy 
• Use a solution-based approach to selling and creating value for new logo accounts 
• Identify and close quick, small wins while managing longer, complex sales cycles
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Exceed activity and quarterly revenue targets
• Promote the value of the Databricks' Data Intelligence Platform 
• Ensure 100% satisfaction among all customers

What we look for:

• 1-2 years of experience in a direct account executive/closing role
• Understanding of the data platform and cloud ecosystems
• Some exposure to the software industry and some basic concepts of selling SaaS, Data and Business Value
• Basic understanding on how to research company information and identifying key stakeholders
• Competent with prospecting research and ability to map out key stakeholders
• Adept in selling to technical buyers 
• Understanding of MEDDPICC
• Experience exceeding sales targets/quotas
• Bachelor's Degree or relevant work experience

SLSQ226R759

As a Strategic Account Executive, you will own a large enterprise account and be accountable for a clear, executable strategy to exceed revenue, bookings, and consumption goals. You will execute with urgency and discipline, consistently overachieving targets while building deep, boardroom-level relationships and serving as a trusted Data & AI advisor to C-suite stakeholders.

Your mission is to drive sustained growth and deepen engagement within one of our most strategic customer partnerships in the region.

What You’ll Do

• Own and execute an account strategy that accelerates revenue growth and drives increased platform consumption
  
  
• Build and maintain executive-level relationships, acting as a strategic advisor on Data & AI transformation
  
  
• Co-develop a comprehensive business plan with internal teams and ecosystem partners to exceed quarterly and annual bookings and consumption targets
  
  
• Lead customers, partners, and internal stakeholders to identify high-impact big data and AI use cases, proving business value on the Databricks Data Intelligence Platform
  
  
• Drive customer transformation through a coordinated approach that includes strategic partnerships, scoped professional services, training, and targeted executive engagement
  
  
• Orchestrate cross-functional teams to ensure customer success, long-term adoption, and expansion
  
  

The Impact You’ll Have

• Accelerate customer success by translating business priorities into measurable Data & AI outcomes
  
  
• Expand and deepen one of the company’s most strategic enterprise relationships
  
  
• Enable customers to realise tangible value from big data and AI initiatives at scale
  
  
• Consistently exceed revenue, booking, and consumption goals through disciplined execution and strategic leadership

What We’re Looking For

• Proven experience managing large, enterprise accounts and leading complex, multi-stakeholder sales cycles (retail experience preferred)
  
  
• Background in Big Data, Cloud, or SaaS environments
  
  
• Track record of exceeding quotas in high-growth enterprise software companies
  
  
• Experience driving usage- and commit-based engagement models 
  
  
• Strong co-selling experience with cloud vendors and Global Systems Integrators
  
  
• Demonstrated ability to build executive business cases and secure C-level sponsorship
  
  
• Expertise in value-based selling within complex enterprise environments

JOB ID: FEQ327R155

Location:  London, UK

As a Delivery Solutions Architect Manager, your role is to build and lead a team of Delivery Solution Architects (DSAs). You work in close collaboration with the Sales, Pre-Sales, Professional Services and Partners teams across the UK to shape the post-sales delivery strategy for our major customers and will report to the UK SSA & DSA leader.

DSAs collaborate with sales and engineering teams to drive our customers' adoption and growth. They guide complex customers to maximise platform value and ROI. This hybrid role combines commercial skills to foster customer relationships and drive growth with technical expertise across Databricks products. They are engaged at all organisational levels to drive adoption.

Reporting to the Senior Manager, Field Engineering

Your role will have 3 main pillars:

• People: Hire, coach and support a diverse team able to ensure our customers’ success in their roadmap delivery
• Business: You will contribute to the region's growth by positioning your team’s services with our customers and generating a continuous pipeline of DSA subscriptions.

Leadership: You will be the technical sponsor and thought leader for a number of selected customers. 

You and your team will contribute to the creation of assets to build the Delivery Solution Architect practice and improve effectiveness and consistency in working with customers.

The impact you will have:

• Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (business value, usage growth, career growth and hiring)
• Assign accounts and distribute work across individuals for optimal customer coverage and team balance
• Inspire the team to be customer-obsessed by understanding customer goals, their use cases, and Databricks technology
• Partner with Sales, pre-sales and professional services teams to accelerate the growth of customers
• Work with teams to reduce customer risk and help your team with escalations.
• Lead team activities to monitor customer progress and forecast growth
• Provide input to grow and improve internal processes and customer success service offerings
• Promote cross-functional programs, plans, and documentation

What we look for:

• 7+ years of experience in a customer-facing role
• Experience leading a team of pre- or post-sale consultants/solution architects, technical account managers or customer success engineers.
• Experience in organisational and financial planning (e.g revenue forecast) on a team/department level
• Conversant with business issues our customers face today, and likely big data use cases in different industries

SLSQ327R238

Reporting to the Regional Sales Manager UKI, as a Startup Hunter Account Executive at Databricks, you will focus on acquiring new accounts across the UK and Ireland. As a successful candidate, you are a self-starter who understands how to generate pipeline and manage full sales cycles.  You have experience with the consumption business, you know how to sell innovation and value to new prospective customers, identify first or new use cases,  and can guide them forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. Always prospecting for new use case opportunities within new accounts, we also offer accelerators above 100% quota accomplishment. You will be offered huge potential for career progression with the pace of the team's growth.

The impact you will have:

• Assess your territory and develop a successful account execution strategy 
• Identify and activate new accounts to execute account activation target activate new accounts
• Exceed activity and 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 prospects
• Promote the value of the Databricks' Data Intelligence Platform 
• Ensure 100% satisfaction among all customers

What we look for:

• Experience penetrating new accounts, executing on first use cases, growing initial consumption and closing deals in a direct sales role
• Experience in relevant software sales development role with consumption sales motion
• Some exposure to software industry and grasp of basic concepts of selling SAAS, Big Data and Business Value
• Basic understanding of the data platform and cloud ecosystems
• Experience exceeding sales targets / quotas
• Success closing new accounts while working existing accounts
• Passion for cloud technologies
• Bachelor's Degree or relevant work experience

Req ID: FEQ427R219

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

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

Key Responsibilities:

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

Qualifications:

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

CSQ227R255

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. As a Senior Technical Program Manager (TPM), you lead the charge in changing how people work with data. You will drive high-stakes, multi-workstream programs that have a material impact on customer success and scalability. Your technical expertise and strategic influence will be critical for guiding complex engagements to success and fostering a culture of continuous improvement. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals.

The Impact You Will Have

• Architecting Standards: You will install operating rigor (cadence, metrics, reviews) that doesn't just serve one project, but becomes a "gold standard" adopted by other TPMs across the region.
• Cross-Functional Synergy: You will lead high-visibility initiatives that require deep collaboration across Product, Engineering, and Marketing, resolving complex misalignments with M6-level Directors that threaten project velocity.
• Strategic Risk Leadership: You will manage the change management process for large-scale digital transformations, ensuring that customer organizations are culturally and technically ready to adopt the Lakehouse architecture.
• Knowledge Multiplication: You will contribute significantly to the Databricks community by documenting best practices and leading internal training sessions to level up the entire Professional Services organization.

What We Look For

• Experience: 8–12+ years leading large-scale technical programs for external customers.
• Technical Fluency: Advanced technical fluency; 2 Databricks Associate Certifications or 1 Professional-level Certification required within 6 months of hire.
• AI Strategy: Proven track record of leveraging AI-enabled tools to optimize large-scale program delivery and cross-functional synergy.
• Senior Leadership: Proven ability to engage, influence, and build trust with senior executive stakeholders (CxOs).
• Scope: Experience successfully managing projects with teams of up to 5 people and contract values in excess of $0.5M.

SLSQ227R380

Location: London (relocation to Dubai expected early 2027)

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.

We are looking for an Account Executive to manage our most strategic customer in the UAE. The role will be based in London and will require you to travel to the UAE on a regular basis. 

As a Strategic Account Executive, you are a sales professional experienced in selling to large Enterprise accounts. You know how to sell innovation and change through customer vision expansion 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. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. 

You will report to the Sales Director for the UAE.

The impact you will have:

• Assess your territory and develop a successful execution strategy 
• 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 
• Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients
• Build and demonstrate value with all engagements to guide successful negotiations to close point

What we look for:

• Extensive understanding of the data platform, open source and cloud ecosystems
• Highly skilled in prospecting research and ability to map out key stakeholders
• Demonstrated success in Value Selling and developing a mutual action plan
• Ability to influence decision-making and strategy with customer leadership teams
• Ability to establish credibility with the C-suite 
• Adept in selling to technical buyers 
• Mastery of MEDDPICC
• Bachelor's Degree or relevant work experience
• Fluency in English is required, fluency in Arabic is preferred
• Willingness to relocate to Dubai in early 2027

SLSQ327R227

Location: London (relocation to Dubai expected early 2027)

Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks.

Reporting to the UAE Country Manager, you’ll partner with a team of accomplished Data, AI and industry specialists. Your mission is to drive the adoption of Databricks across a select group of UAE organisations. We’re looking for a proven Enterprise Account Executive to join our team in London (relocation to Dubai expected early 2027) to deliver net-new strategic business, bringing an informed point of view on Data and Advanced Analytics. Your insight will shape winning strategies and together with our teams and partners enable you to deliver exceptional value to customers.

The impact you will have:

• Assess your accounts and develop a strategy to engage all buying centres, driving deals forward and shortening decision cycles
• Use a solution-led approach to create meaningful value for new logo accounts
• Identify and close quick wins while managing longer, complex sales cycles
• Own a defined list of prospects in UAE and build strategies targeting all critical stakeholders
• Support broader customer transformation goals through strategic partnerships, well-scoped services, training, and targeted Executive engagement
• Build strong value throughout the sales process to guide successful negotiation
• Orchestrate cross-functional teams to maximise impact across your ecosystem
• Own the consumption narrative, using demand plans to surface high-value use cases in each account
• Stay customer-centric by delivering both technical and business outcomes through the Databricks Intelligence Platform
  
  

What we look for:

• Strong new business development background with a track record of closing and exceeding quota in consumption based business (SaaS, PaaS, IaaS).
• Experience navigating procurement frameworks and mechanisms
• Background in Cloud software, open source technology, or the Data and AI space
• Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure or Google Cloud
• Ability to identify key use cases and buying centres to expand Databricks’ value within an organisation
• Methods for co-developing business cases and securing C-level sponsorship
  Experience building strong champions, collaborative teams and productive partnerships
• Understanding of consumption-based land-and-expand sales models
  Familiarity with robust sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting
• Demonstrated contributions and a consistent track record of success
• Based in  London (relocation to Dubai expected early 2027) with availability for travel.
• Demonstrable experience working with integration partners 
• Fluent English, knowledge of Arabic is a plus.

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.

SLSQ427R254

Databricks is seeking a strategic alliance leader to own and scale our partnership with Accenture across EMEA and to globally orchestrate our relationship with Avanade. This role sits at the centre of one of the most strategic ecosystems in Data & AI — accelerating consumption on the Databricks Data Intelligence Platform and shaping how two of the world’s most influential system integrators deliver transformation at scale.

You will translate global alliance strategy into measurable regional impact, align executive stakeholders across Databricks, Accenture, Avanade, and Microsoft, and build repeatable joint go-to-market motions that drive durable growth. This role requires executive credibility, operational rigor, and the ability to convert strategic intent into consumption, pipeline, and customer outcomes. This is a high-visibility role with direct influence on revenue growth, ecosystem strategy, and market positioning across Europe and globally.

The impact you will have: 

• Own and scale the Databricks–Accenture alliance across EMEA, aligning regional execution with global strategy and driving measurable consumption growth.
• Serve as the global executive lead for the Databricks–Avanade relationship, building and executing multi-year joint growth plans across regions.
• Drive partner-sourced and partner-influenced revenue, new logo acquisition, and expansion within strategic enterprise accounts.
• Lead tri-party collaboration between Databricks, Accenture/Avanade, and Microsoft to maximise Azure-aligned investments and market impact.
• Incubate and scale differentiated joint industry solutions, accelerators, and managed services built on the Databricks Platform.
• Establish operational excellence across joint business planning, QBRs, pipeline governance, and executive alignment.
• Influence C-suite stakeholders and act as a visible thought leader at major ecosystem and Data + AI forums.

What we look for:

• Strong experience in enterprise software, cloud, data or AI, including significant experience leading complex GSI or strategic alliances.
• Demonstrated success in building and scaling partnerships with Accenture, Avanade, or comparable global system integrators across multiple regions.
• Strong understanding of Azure and hyperscaler ecosystems and how they drive consumption in an AI-first world.
• Proven track record of delivering measurable revenue impact through co-sell, co-innovation, and joint go-to-market execution.
• Executive presence with the ability to influence C-level stakeholders internally and externally.
• Experience leading cross-functional, geographically distributed teams in high-growth, matrixed environments.
• Clear communicator who can translate complex strategy into actionable execution plans.
• Bachelor’s degree or equivalent experience; advanced degree a plus.

REQ ID: FEQ227R246

Location: London, UK

Recruiter: Dina Hussain

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

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. 

You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers and their account teams to help them respond to key business opportunities and challenges.

Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Engage with some of Databricks’ most complex customers to help them achieve their unified platform goals.
• Develop and execute customer engagement strategies in partnership with the Account Executives and Solutions Architects in your designated accounts.
• You will coach core account teams and peers on positioning, adoption strategies and execution to achieve your outcomes in a defined timeline.
• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd-party applications, ensuring they are excited about the Databricks vision and solution strategy.
• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
• Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.

What we look for:

• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
• You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background 
• You will be working with our Utilities customers, focusing on establishing the Databricks Data Intelligence Platform as their platform of choice.
• You will have a builder mindset, you instinctively prototype, create demos, and craft tailored solutions rather than relying only on slide decks. You turn customer challenges into hands-on proof points that accelerate confidence.
• You will enjoy a high degree of autonomy and thrive in working with ambiguous requirements and challenging customer environments.
• Ability to influence influential decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers.
• Prior experience with coding in a core programming language (i.e., Python or SQL) and willingness to learn a base level of Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google.
• Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape.
• Nice to have: Databricks Certification
• Up to 30-40% travel to London offices and customer sites

JOB ID: FEQ227R179

Location:  London, UK

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

Reporting to the Manager, Field Engineering.

The impact you will have: 

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on architecture, design, and implementation to lead the successful adoption of the Databricks Data Intelligence Platform.
• Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field.
• Act as a hands-on technical advisor, helping customers design, validate, and adopt modern data and AI architectures on the Databricks Data Intelligence Platform.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Experience in solutions architecture, technical consulting, or pre-sales, with a strong hands-on approach to solving customer problems.
• Strong capability in at least one or two of the following areas: Data Engineering, Data Warehousing, AI/ML, GenAI, AI Agents, or application development, with interest in expanding into adjacent areas over time.
• Exposure to domains such as CDP/Martech, customer data architectures, cybersecurity, or modern AI application patterns would be valuable, but is not required.
• You will work with customers in the enterprise space, focusing on the Consumer Packaged Goods (CPG) industry, but you will also consider the Retail industry. 
• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark.
• Hands-on experience with modern data and analytics technologies, including public cloud platforms and technical validation work such as prototypes or proofs of concept.
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences, requiring an ability to context switch in levels of technical depth.
• Nice to have: Databricks Certification

• The candidate must be able to commute to London offices regularly and travel approximately. 
• 20-30% of the time across UK&I for customer visits

P-1534

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. 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. 

As an Engineering Manager, you will work with your team to build mission-critical Lakebase services on the Databricks Platform at scale.

Key responsibilities include:

• Drive continuous delivery within a team of experts in storage technology, distributed systems and Rust.
• Manage the development and rollout of storage services that host millions of customer databases across dozens of regions
• Partner with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure.
• Lead operational excellence in 24/7 operation of our system

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 building and shipping storage systems where correctness and performance are essential
• BS (or higher) in Computer Science, or a related field
• 2+ years of experience building and leading a team of engineers working in a related system
• Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc.
• Ability to attract, hire, and coach engineers who meet the Databricks hiring standards - can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members; can gain trust of the team and guide their careers
• Comfort working on cross-functional projects with the ability to deeply understand product and customer personas

SLSQ227R556

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 Global Account Manager for one of the largest pharmaceutical and biotechnology organisations, you will be responsible for driving the strategic relationship across regions. You will ensure the successful adoption and expansion of Databricks solutions within their global operations. You will work closely with their key stakeholders to understand business needs and challenges and leverage Databricks' technology to deliver impactful solutions. You will bring an informed and compelling point of view on Big Data, Advanced Analytics, and AI, shaping and owning account strategy to guide customers towards enterprise wide transformation using the Databricks Data Intelligence Platform. 

The impact you will have

• Develop and execute a strategic account plan aligned to customer business objectives, industry dynamics, and Databricks’ growth goals
• Build and maintain trusted relationships with senior decision-makers, including C-level executives
• Provide industry insight and commercial creativity to design differentiated data and AI use cases that resonate
• Identify, qualify, and pursue new business opportunities within existing and new business units and brands, expanding Databricks’ presence and influence across technical and business audiences.
• Co-develop and deliver a business plan with internal teams and ecosystem partners that accelerates customer success along with long term strategic business objectives which are aligned with the customer. 
• Lead and motivate a virtual team of sales, solutions engineering, customer success, and partners to execute against your account strategy
• Collaborate closely with cloud partners (AWS, Azure, Google Cloud) and GSIs to drive co-sell motions and scale adoption
• Serve as the primary executive point of contact globally, ensuring high customer satisfaction and guiding successful commercial negotiations across multiple stakeholders
• Stay well informed on industry trends, regulatory considerations, and data and AI innovation to influence both customer strategy and Databricks’ positioning
• Drive revenue growth by meeting and exceeding client expectations & internal KPIs. 

What we look for

• Proven experience in a global account management role, leading a large cross functional global team, within the technology industry
• Consistent quota over-achievement, particularly in complex, multi-stakeholder sales environments
• Experience driving adoption of usage-based, consumption-led models, including land-and-expand strategies
• Proven experience selling enterprise software platforms to large, complex organisations
• Strong ownership of executive-level client relationships and the ability to operate credibly at C-suite level
• Demonstrated track record of developing new business and driving significant account growth
• Experience working with large, complex, and regulated enterprises
• Solid understanding of the Data & AI landscape with prior technology or SaaS sales experience
• Successful co-selling experience with AWS, Azure, and Google Cloud teams
• Ability to co-develop business cases, articulate value, and gain sponsorship from C-level executives
• Strong experience in enterprise sales methodologies and processes (e.g. territory and account planning, MEDDPICC, Challenger, Command of the Message)
• Experience building and scaling partner ecosystems to support execution of your territory and account plans
• Willingness to travel as needed to meet with client stakeholders 

P-1535

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.

The Lakebase Platform Reliability team's footprint spans multiple stacks, systems, and stakeholders. They include AI-powered tooling and workflows for customer management, real-time observability during incidents, monitoring and auditing systems that underpin compliance requirements, and customer-facing operational APIs and maintenance workflows. You'll contribute to the wider platform mission: building resource management infrastructure, reliable distributed services, and internal tools that help Databricks engineers operate confidently across clouds and environments.

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.
• Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way
• Lead development of 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.

What we look for:

• 5+ years of Engineering experience and 2+ years of Engineering Management experience.
• Experience with large-scale distributed services and the processes around testing, monitoring, and SLAs.
• Ability to align multiple stakeholders on competing priorities. 
• Able to balance short-term delivery against long-term stability.
• BS (or higher) in Computer Science, or a related field.

Req ID: CSQ327R44

Location: Hybrid – London

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

Mission

We're looking for a Tech Recruiter with experience driving recruitment in the EMEA region, to help us identify and hire great people for Databricks as we continue our expansion. You will conceive practical and creative ways to identify leading talent and invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams. 

The impact you will have:

• Apply your knowledge to meet our hiring needs and develop unique full-cycle hiring strategies
• Build engaged talent pipelines, with active and passive candidates which can sustain long-term hiring goals
• Create closing approaches to manage partner expectations through market data
• Lead the business with data to promote future workforce planning decisions and accurate forecasting
• Help Databricks to provide a positive interview experience for all and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring

What we look for:

• Experience building partnerships within the business and cross-functionally. 
• You will have had success in scaling a high-growth software/Data/AI company and be able to bring your learning from your success to our team. 
• 2-3 years experience in an in-house recruiting environment, focussed on the SaaS software, ideally within the Data and AI space. 

GAQ227R209

Mission

Databricks is looking for a motivated and experienced Senior Contracts Negotiator to play a leading role in Databricks’ growing EMEA business. You will report to the Director & Assistant General Counsel, EMEA Commercial Legal, and will be an important part of the team responsible for reviewing and negotiating customer agreements, providing legal support for revenue-generating activities of Databricks, and helping Databricks to improve processes. 

The impact you will have:

You will work in partnership with the sales teams to enable some of the best known companies in the world to purchase Databricks’ cutting-edge AI and data analytics tools.  You will diligently solve legal issues to enable smooth and timely transactions.  You will work collaboratively within an experienced and supportive legal team and have the confidence to guide our sales teams on internal processes. If you have experience negotiating software-as-a-service (SaaS) transactions with enterprise companies that is a bonus.

Your day-to-day role will include:

• Reviewing, drafting and negotiating commercial agreements, such as NDA’s, SOW’s and commercial ordering documents ensuring that Databricks’ risk position is protected and internal compliance requirements are met;
• Leading the end-to-end contract management lifecycle, providing expert advice to sales and professional services teams on contractual risks, commercial matters, as well as offering innovative solutions;
• Identifying and leading with process improvements, and developing good practices to streamline efficiency in particular looking to solve process issue using AI tools;
• Providing support and enablement to sales teams on key contractual requirements, best practices and contract management;
• Learning and then mastering Databricks’ internal structures, product offerings, technology, security/data protection positions and policies to give you a foundation for providing support across Databricks' lines of business;
• Bringing your understanding of Databricks’ commercial offerings to guide sales teams (and customers where needed) during negotiations;
• Applying critical thinking and problem-solving skills to propose business solutions which can meet the business’ and customers’ needs;
• Cultivating strong cross-functional relationships with key stakeholders and provide strategic advice on the Company's go-to-market efforts; &
• Contributing as a team player to help further the status of the legal department as a respected and valued partner within the company.

Requirements for the role:

• Bachelor's degree (or equivalent);
• Experience working in-house within a technology company that maintains a regular/quarterly sales cycle;
• 3-5 years of experience negotiating NDAs, Order Forms and legal amendments;
• Knowledge of large CRM systems (like Salesforce) and contract management systems (like IronClad);
• Demonstrated ability to manage and prioritise time and business needs in the face of competing demands; &
• Experience working with sales teams.

SLSQ327R188

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

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

The impact you will have:

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

What we look for:

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

FEQ227R178

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ327R39

We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as a Senior Solutions Consultant or a 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 Platform Solutions Architect (Internal Title - Resident Solutions Architect) on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA, 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:

• Drive high-impact customer projects: Design and build reference architectures, implement production use cases, and create “how-to” guides tailored to the unique needs of fast-moving Emerging Enterprise & Digital Native customers in EMEA.
• Collaborate on project scoping: Work closely with Engagement Managers and customers to define project scope, schedules, and deliverables for professional services engagements.
• Enable transformational initiatives: Guide strategic customers through their end-to-end big data journeys—migrating from legacy platforms and deploying industry-leading data and AI applications on the Databricks platform.
• Consult on architecture & design: Provide thought leadership on solution design and implementation strategies, ensuring customers can successfully evaluate and adopt Databricks.
• Offer advanced support: Serve as an escalation point for operational issues, collaborating with Databricks Support and Engineering to resolve challenges quickly.
• Align technical delivery: Partner with cross-functional Databricks teams (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met.
• Amplify product feedback: Provide implementation insights to Databricks Product and Support teams, guiding rapid improvements in features and troubleshooting for customers.

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

FEQ327R145

The growth of the Databricks Data Intelligence Platform is powered by a thriving partner ecosystem of global system integrators, consultancies, and technology partners. As the EMEA Regional Partner Enablement Lead, you will play a central role in scaling that ecosystem. You will design and execute high-impact enablement programs that equip partners to sell, implement, and deliver Databricks solutions with confidence. Working closely with regional leadership, partner teams, and global enablement, you will translate business priorities into world-class learning experiences that accelerate partner readiness and drive measurable ecosystem growth. You will operate at the intersection of strategy and execution — building programs that expand certifications, deepen technical expertise, and enable partners to successfully deliver data and AI transformation for our customers. This is a highly cross-functional role within a fast-growing, high-performance team that recently tripled the number of trained partners in EMEA through innovative learning models and scalable enablement programs.

The impact you will have: 

• Define and execute the EMEA partner enablement strategy, aligning regional priorities with global ecosystem goals and business outcomes.

• Design and deliver scalable enablement programs, including Sales Academies, Pre-Sales Mastery, and Technical Academies that accelerate partner readiness across sales and technical roles.

• Own the regional enablement roadmap, activating learning programs through large-scale events, digital learning journeys, and targeted regional initiatives.

• Drive measurable ecosystem growth through certifications, badges, and partner skill development, using data to continuously optimize program impact.

• Partner closely with regional sales, partner leadership, marketing, and global enablement teams to ensure programs address real field needs.

• Elevate the quality and effectiveness of partner enablement through coaching frameworks, program governance, and operational excellence.

• Ensure EMEA alignment with global enablement initiatives while tailoring programs to regional market dynamics and partner maturity.

What we look for:

• 7+ years of experience designing and scaling learning or enablement programs within enterprise technology, cloud, or data ecosystems.

• Experience working with system integrators or consulting partners, with strong understanding of how partner-led delivery and go-to-market models operate.

• Solid understanding of modern Data & AI architectures, including data warehousing, data engineering, machine learning, and generative AI concepts.

• Experience building or running sales and technical enablement programs for large partner audiences or distributed field teams.

• Strong program management skills with the ability to run complex, cross-functional initiatives at a regional scale.

• Analytical mindset with experience using metrics and KPIs to measure learning outcomes and continuously improve program effectiveness.

• Exceptional communication and stakeholder management skills with the ability to influence across global and regional teams.

• Bachelor’s degree or equivalent practical experience.

SLSQ427R253

As a Partner Solutions Architect for Europe, you will work with the technical and sales team members who work directly with our customers. You will develop 'technical champions’ within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers achieve tangible, data-driven outcomes through our Databricks Data Intelligence Platform, enabling data teams to complete projects and integrate them into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open source projects such as Apache Spark™, MLflow, and Delta Lake, and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem.

• Engage with the partner technical community by leading workshops, seminars, and meet-ups.

• You will be a big data analytics expert in architecture and design, and will share this knowledge with our partner network.

• Show expertise by producing creative technical solutions and blog posts.

What we look for:

• 8 years of customer-facing experience working with external clients or partners across a variety of industry markets

• Core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

• Experience developing architectures within a public cloud (AWS, Azure, or GCP)

• Hands-on experience in SQL, Python, Scala, or Java

• Expertise in at least one of the following:

• Data Engineering technologies (Ex, Apache Spark™, Hadoop, Kafka)

• Data Warehousing (Ex, SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex, pandas, scikit-learn, HPO)

GAQ127R85

Mission

Reporting to the EMEA People Partner Director, the Staff People Partner is a strategic advisor and catalyst for organisational excellence, partnering closely with senior leaders across Databricks’ European footprint.

This role operates at the intersection of business strategy, talent, and transformation, shaping a high-performance, future-ready organisation in the context of rapid growth and AI-driven change.

• Travel: May involve travel to other EMEA locations and the US for quarterly business reviews, People team meetings and for other ad-hoc business reasons
• Focus: Field Engineering, Professional Services and Field Enablement teams, subject to change over time

What you’ll do:

• Act as a trusted strategic partner to senior leaders within the Field Engineering, Professional Services and Field Enablement teams, translating business priorities into forward-looking people strategies that drive performance, scalability, and innovation.
• Lead organisational transformation by designing and enabling structures, capabilities, and ways of working that support hyper-growth and evolving market demands.
• Elevate the talent bar through rigorous talent management, succession planning, and leadership development, ensuring we attract, develop, and retain exceptional talent.
• Champion a high-performance culture grounded in accountability, inclusion, and continuous growth, while enhancing the end-to-end employee experience.
• Coach and challenge leaders to build inclusive, resilient, and future-ready teams, particularly in navigating change driven by AI and new ways of working.
• Drive organisational effectiveness through strategic organisational design, while acting as a senior escalation point for complex employee relations matters, ensuring consistent and risk-aware outcomes.
• Partner across EMEA and globally to deliver a consistent yet locally relevant people experience, balancing global standards with regional nuance.
• Leverage data and insights to inform decision-making, measure impact, and continuously improve people outcomes.

What you’ll bring:

• Proven experience as a senior HR/People Business Partner in a high-growth, complex, and matrixed environment.
• Curiosity and adaptability in the face of emerging trends, particularly the impact of AI on work, skills, and organisations.
• Data-driven mindset with the ability to translate insights into action.
• Strong commercial acumen with the ability to connect people strategy to business outcomes.
• Track record of leading large-scale change and transformation initiatives.
• Deep expertise across core people disciplines (organisation design, talent, performance, employee relations, rewards).
• Skilled at influencing and coaching senior stakeholders with credibility and impact.
• Passion for building inclusive, high-performing cultures and exceptional employee experiences.

REQ ID: FEQ227R147

Location: London, UK

Recruiter: Dina Hussain

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data and AI accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward.

In the UK&I Digital Natives Hunting territory, we move at the speed of the most innovative companies in the world. We don't just sell software; we partner with technical founders, CTOs, and VPs of Engineering at high-growth startups to build the future of AI. You will be an essential part of this mission, using your executive-level technical credibility and "Hunter" mindset to win mindshare and acquire new logos. Join us in our quest to change how people work with data and make a better world!

Reporting to Manager, Field Engineering

The impact you will have:

• Executive Evangelism & Thought Leadership: Act as a Technical Advisor, building peer-to-peer relationships with CTOs, VPs of Engineering, and technical founders at high-growth DNBs. You will win technical mindshare in "first meetings" by articulating a vision for Data + AI that aligns with their rapid innovation cycles.
• Drive New Logo Motion: Execute the high-velocity "Hunter DNA"—obsessing over Time to Value, qualifying out ruthlessly when necessary, and focusing energy on hard-to-win, prestigious accounts that establish Databricks as the standard for the UK startup ecosystem.
• Ecosystem Building: Drive awareness within the UK startup and VC ecosystem. You will be the face of Databricks at relevant events, building strategic relationships with VCs, accelerators, and incubators to identify and influence the next generation of "unicorns."
• Strategic Technical Discovery: Move beyond traditional "hands-on" SA work to focus on high-level architecture and strategic road-mapping. You will bridge complex business requirements with technical solutions, ensuring that the Databricks Intelligence platform is seen as a strategic enabler of a startup's core product.
• Regional Mentorship: Be a role model and mentor for the wider Field Engineering team, specifically coaching Solutions Architects on how to engage effectively with CxOs and navigate the unique demands of the digital-native segment.
• Technical Community Engagement: Develop high-impact, customer-facing collateral, and lead technical seminars or meet-ups that position Databricks as a thought leader in Generative AI, LLMs, and modern data stack architecture.

What we look for:

• Startup Leadership & Scaling Experience: 10+ years of professional experience, including significant time spent as a tech co-founder, Head of Engineering, VP-level leader, or high-impact technical contributor within high-growth startups. We value the "in the trenches" experience of scaling a business and technical stack from the ground up. While you possess the credibility to engage with senior founders, you maintain a hands-on technical edge and aren't afraid to dive into the architecture.
• Executive Presence: Proven ability to influence and win trust with senior technical stakeholders and C-level executives in innovative, fast-moving environments.
• Technical Depth with an Evangelist Spike: Strong technical background (8+ years) in Operational Databases, Data Engineering, Data Science, or AI, but with a primary skillset focused on technical evangelism, storytelling, and high-level architectural vision rather than tactical delivery.
• Operational Database and Real-Time Data Architecture: Experience with modern operational database architectures (OLTP) and building scalable, data-driven applications, including connecting transactional systems with analytical platforms to support real-time analytics, AI/agent workloads, and operational applications. 
• Startup Ecosystem Knowledge: 5+ years of deep familiarity with the startup and VC landscape. You know who the key players are and how to navigate the network of investors, accelerators, and founders.
• High Velocity Mindset: Experience working with early-stage, high-growth digital natives where speed, agility, and "Time to Value" are prioritized over traditional enterprise sales cycles.
• Problem-Solving Agility: Ability to innovate technical solutions for specialized customer needs and navigate a competitive landscape where prospects may already be using "greenfield" or bleeding-edge tech stacks.
• Communication Excellence: Exceptional ability to articulate complex technical concepts to both highly technical audiences and business decision-makers.
• Nice to have:
• Familiarity with PostgreSQL-compatible systems and architectures enabling low-latency feature and application data serving.
• Experience migrating or modernising operational databases (e.g. Aurora/ RDS/ PostgreSQL) toward Lakehouse integrated architectures.
• Deep expertise in articulating the strategic and commercial value of Generative AI, including Large Language Models (LLMs), RAG architectures, and the shift toward Compound AI Systems.
• Familiarity with the latest advancements in Agentic Workflows, model fine-tuning (Mosaic AI), and efficient inference at scale.
• Established presence in the technical community (e.g., high-impact blog, regular public speaking at major conferences like Data+AI Summit, AWS re:Invent, or significant open-source contributions).

FEQ227R113

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

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

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

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

The impact you will have

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

Competencies & Responsibilities

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

FEQ227R113

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

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

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

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

The impact you will have

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

Competencies & Responsibilities

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

FEQ227R113

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

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

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

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

The impact you will have

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

Competencies & Responsibilities

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

FEQ227R113

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

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

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

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

The impact you will have

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

Competencies & Responsibilities

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

P-1514

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.

Founded by engineers, Databricks has started a multi-year journey to build the best Lakehouse Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. We want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.

As a software engineer, you will join as a founding member of not only the London site, but really as a founding team for our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values.

The impact you will 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.
• Build reliable, secure and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.
• Develop product features that empower our customers to easily store and access their data.
• Solve reliability problems related to Lakebase.
• Actively find causes of downtime and systematically improve or remove root causes.
• Help the org define SLIs, meet SLOs, and drive long-term reliability improvements.

What we look for:

• BS degree (or higher) in Computer Science, or a related field.
• 8+ 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.
• Knowledge of SQL.

Req ID: CSQ127R149

Location: United Kingdom Remote with occasional travel to the London office and clients' sites.

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

FEQ127R211

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Senior Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 10+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

MKTQ325R30

Mission

As the Director of UK & Ireland Marketing at Databricks, you will lead the go-to-market strategy and execution for one of EMEA’s most dynamic regions. Your mission is to drive awareness, demand, and revenue growth through a high-impact, data-driven marketing strategy. You will serve as a senior leader responsible for developing and evolving field marketing programmes that influence every stage of the customer journey. Partnering closely with regional sales leadership and global marketing teams, you will align Databricks’ brand and demand generation motion with business objectives to accelerate growth in the UKI region. You will report to the VP of EMEA Marketing and serve as a key member of the regional leadership team.

The impact you will have:

• Define and own the integrated marketing strategy for UK & Ireland, aligning to sales priorities, regional business goals, and ROI metrics.
• Lead the development of pipeline-driving campaigns, regional demand generation initiatives, and experiential programmes that strengthen customer engagement and accelerate deal velocity.
• Partner cross-functionally with sales, partner, and global marketing teams to create cohesive go-to-market plans, ensuring alignment across regional plays and corporate initiatives.
• Establish scalable best practices for field marketing excellence across EMEA while tailoring strategies to the UKI market’s unique dynamics.
• Oversee and optimise the regional marketing budget, ensuring effective investment and measurable business impact.
• Drive continuous performance analysis through data insights, dashboards, and marketing attribution models; communicate results regularly to senior stakeholders.
• Champion innovation in event design, digital engagement, and account-based marketing to reach and convert high-value audiences.
• Build, lead, and mentor a high-performing, diverse marketing team—developing talent through empowerment, feedback, and professional growth initiatives.

What we look for:

• 12+ years of experience in B2B marketing, with significant tenure in field or regional marketing leadership roles across the UKI market.
• Proven success leading marketing strategies that drive substantial pipeline and revenue growth in enterprise technology or SaaS businesses.
• Demonstrated ability to partner effectively with senior sales leadership and global marketing stakeholders to create shared goals and strategies.
• Track record of managing large-scale budgets and measuring marketing ROI through advanced data analytics.
• Expertise in designing scalable regional programmes, integrating offline and digital experiences, and implementing ABM strategies.
• Strategic thinker with strong operational execution skills and experience leading teams through transformation and growth.
• Excellent communication, stakeholder management, and inspirational leadership capabilities.
• Proficiency with Salesforce (SFDC), Marketo, and data/analytics tools for campaign measurement and optimisation.

SLSQ127R39

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

We are looking for an exceptional Enterprise Account Executive to join a new team focused on Manufacturing and Defence. This role is specifically focused on spearheading our initiatives into major Defence contractors to maximise the phenomenal market opportunity that exists for Databricks. Your mission will be to grow one of our most strategic Defence customers. Experience selling to this sector is essential, as is experience in running large complex multi-national accounts.

Reporting to the Director, Sales, as an Enterprise Account Executive at Databricks you will come with an informed and compelling point of view on the Big Data, Advanced 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, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform
• You will implement the big 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 business and technical champions

What we look for:

• Experience developing strong relationships with large Deference Enterprises global accounts,  managing virtual teams, and leading complex sales campaigns in major Defence accounts is essential
• You will have experience working in Big 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
• Eligibility for SC clearance (existing clearances held would be an advantage)