You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

The impact you will have:

• Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications, and data ingestion and ML/AI model integration.
• Guide strategic customers as they implement transformational big data projects, including end-to-end design, build, and deployment of industry-leading big data and AI applications.
• Guide customers on architecture and design; bootstrap or implement customer projects which lead to a customer's successful understanding, evaluation, and adoption of Databricks.
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure the technical components of the engagement are delivered to meet the customer's needs.
• Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks.
• 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, ML/AI models, and AI APIs.
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines, and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time.
• Databricks Certification.

Job Data by YubHub.

You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

The impact you will have:

• Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration.
• Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications.
• Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• 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.
• Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks.
• 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, ML/AI models and AI APIs.
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time.
• Databricks Certification.

Job Data by YubHub.

Responsibilities:

• Build and operate AI agents , translating operational SOPs into agent workflows; deploying, monitoring, and fine-tuning agents that handle field requests autonomously
• Own an agent portfolio , managing a set of automated workflows end-to-end, including agent-to-human escalation paths and performance optimization
• Drive process and systems improvement , identifying next workflows to automate; diagnosing cross-system integration issues; leading data quality remediation
• Partner cross-functionally , gathering requirements from Sales, Finance, IT, and Strategy stakeholders; influencing Directors and Sr. Directors on automation priorities
• Support operational continuity , contributing to critical business processes including annual planning cycles

Requirements:

• 5–8 years in operations, systems administration, or business process automation , ideally in high-growth tech companies
• Systems fluency , understanding APIs, data schemas, and integration patterns; knowing how enterprise systems connect
• AI-native thinking , using LLMs, agent platforms, and automation tools to solve business problems; strong judgment on when to automate vs. when manual oversight is needed
• AI agent deployment , hands-on experience building AI agents or automation workflows
• Process design , thinking in systems, not tasks; proven track record designing and improving operational workflows
• Cross-functional influence , comfortable gathering requirements across multiple teams and influencing Director-level stakeholders
• Bias for action , self-motivated; finding ways forward with AI tools rather than waiting to be unblocked

Job Data by YubHub.

As a Strategy & Execution Manager, you will play a critical role in scaling the Partnerships team's strategy. You will combine analytical insight, strong business acumen, and robust cross-functional partnerships with leaders across the company, partnering with the Partnerships VP to set a strategy and medium/long-term goals for the business. You will lead the execution of many of these initiatives, building scalable processes, building consensus, and supporting all of it with proactive data-driven insights and analysis along the way. You will work with various teams, including Partnerships, Sales, Product, Finance, Data, Legal, Commercial, and other GTM teams, and report to the Director of Partner Strategy and Operations.

Key responsibilities include:

• Serving as a strategic business partner to one or more Partner VPs
• Leading executive analyses, strategies, and deliverables (e.g., board materials, QBR)
• Defining and managing high-impact cross-functional programs end-to-end
• Owning the operating cadence and providing performance visibility against targets
• Informing and enhancing partner strategy and programs with voice of the field and quantitative analysis
• Generating deep dives into performance trends with action-oriented outcomes
• Guiding the annual GTM planning process (FY and long-range modeling, KPI setting, HC planning)

Requirements:

• 7+ years of strategy & operations experience (e.g., Enterprise SaaS experience, top-tier strategy consulting, investment banking, business operations)
• Business ownership: leadership and confidence to support VP-level GTM stakeholders like you own the business
• Relentless problem-solving: ability and passion to analyze, set priorities, and solve complex problems
• AI and technical fluency: leverages cutting-edge AI and data tools for analysis, problem-solving, data visualization, and automation
• Comfort with ambiguity: ability to thrive in a rapidly expanding and complex partner organisation and ecosystem
• Understanding of a partner-ecosystem, GTM, or sales/partner operating model, and the judgment to evaluate trade-offs within it

The pay range for this role is: Zone 1 Pay Range: $162,900-$223,950 USD Zone 2 Pay Range: $146,600-$201,500 USD Zone 3 Pay Range: $138,500-$190,400 USD Zone 4 Pay Range: $130,300-$179,200 USD

Job Data by YubHub.

You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

Your responsibilities will include:

• Production Solution Delivery: Leading impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications, and data ingestion and ML/AI model integration.
• Transformational Impact: Guiding strategic customers as they implement transformational big data projects, including end-to-end design, build, and deployment of industry-leading big data and AI applications.
• Empower Customers: Guiding customers on architecture and design, bootstrapping or implementing customer projects that lead to successful understanding, evaluation, and adoption of Databricks.
• Own the Architecture: Leading architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Collaboration: Working with the Databricks technical team, Project Manager, Architect, and Customer team to ensure technical components of the engagement are delivered to meet customer's needs.
• Customer Immersion: Embedding with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Reusable Assets & Scale: Contributing accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

Requirements:

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering.
• Proficiency in writing code in languages such as Python, Scala, JavaScript/TypeScript, and modern frameworks.
• 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, ML/AI models, and AI APIs.
• Experience with technical project delivery, managing scope, timelines, and measurable outcomes.
• Strong documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
• Ability to travel to customers 20% of the time.

The pay range for this role is $182,000-$250,208 USD.

Job Data by YubHub.

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 get the most value out of their data.

As a Technical Program Manager, you will:

• Work on a variety of impactful customer technical projects, designing and building reference architectures, creating how-to's, and productionalizing customer use cases
• Collaborate with engagement managers to scope professional services work with input from customers
• Guide strategic customers in implementing transformational big data projects, 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, and provide escalated support for customer operational issues
• Work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure technical components are delivered to meet customer needs

Requirements:

• 4+ years of experience in data engineering, data platforms, and analytics
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP)
• Comfort with object-oriented and functional programming in Scala and Python
• Experience in building scalable streaming and batch solutions using cloud-native components
• Strong knowledge of distributed computing with Apache Spark™
• Travel to customers 20% of the time

Nice to have: Databricks Certification

Job Data by YubHub.

You will be the critical bridge between a customer's multi-million dollar business problem and Databricks' technical solution. Your responsibilities include:

• C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organisation, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline).
• End-to-End Product Ownership: Act as the "CEO" of the project by authoring the PRD, prioritising the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester.
• Agile Project Execution & Delivery: Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the "escalation manager" to unblock all technical or political issues.
• Solution Launch & Landing: Own the "Day 0" launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value.
• Strategic Handoff & Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement.

Requirements:

• Executive Presence & Communication: A "Trusted Advisor" with C-suite gravitas and superb communication skills.
• Product & Strategy Mindset: A "Product Thinker" and "Systems Thinker" who can perform a SWOT analysis, understand a competitive landscape, and define "what" to build and "why."
• Relentless Execution: An "Execution Driver" with a "Hands-On" mentality.
• Ideal Experience: 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a "builder" or "founder" capacity.
• Proven Skills: Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%.

The pay range for this role is $185,920-$255,640 USD.

Job Data by YubHub.

This role is focused on several strategic outcomes critical for the future growth of Databricks:

• Shaping and driving the future of Field Engineering
• Ensuring product execution at scale
• Driving effective Delivery and Enablement execution
• Being a company-first leader that can bridge across GTM and Product

In this role, you will also help drive a high-performing, AI-driven builder culture, identifying ways to leverage AI, automation, and tooling to increase efficiency, improve decision-making, and enable teams to focus on the highest-impact work.

This is a high-visibility, high-impact role for someone who thrives at the intersection of strategy, execution, and technical leadership.

Successful Outcomes:

• Strategic Business partner to our SVP, FE to shape the future of this function
• OKRs/Metrics: Put in place OKRs, and metrics to measure performance
• Strategic Planning & Execution: Partner with the SVP and leadership team to set long-term organizational strategy, drive critical initiatives, and ensure cross-functional alignment.

Future Operating Models:

• Define, design, and test innovative operating models for the organization, deciding where to centralize, where to push accountability to BUs, and which initiatives to pilot
• Ensure GTM Product Execution at scale
• Provide key inputs on product planning, product target setting, and product resources to the central GTM planning team
• Run the inspection cadence and work across Product, Sales, Operations, FE teams to quickly resolve issues (e.g, pipeline, product gaps)
• Proactively surface and address gaps both with regional teams and with product teams to improve execution
• Drive Work with PS and Enablement leaders to ensure enablement and delivery excellence with the operations team
• Work with key business stakeholders to shape PS and Enablement strategy (covers topics like FDE strategy, resourcing and hiring strategy)
• Ensure Professional Services and Enablement operations scale with AI and Automation
• Be a company-first leader: Brickers are awesome and need strong leadership and we expect leaders to be company-first and first-team
• Leadership vision and clarity: Lead with vision, clarity, and do not be afraid to take the tough decisions

AI-Driven Productivity & Innovation:

• Enable a builder-first, AI-first culture by identifying opportunities to leverage AI, tooling, and automation to improve productivity and impact across the org.
• Cross-Functional Influence: Collaborate with Strategy and Operations teams, Product, Sales, Finance, People, and other teams to ensure strategic initiatives are executed effectively and priorities are aligned.
• Organizational Insight & Experimentation: Use data, experience, and technical expertise to identify bottlenecks, test new approaches, and recommend solutions that optimize performance and growth.

What We’re Looking For:

• Deep technical understanding of field engineering organizations, enterprise solutions, and technology strategy, with the ability to assess and evolve end-to-end Field Engineering models.
• 10+ years of experience in strategy, business operations, or technical leadership in high-growth technology companies.
• Proven ability to define strategy and execute at scale in complex, technical organizations.
• Experience running centralized technical or operational functions and influencing distributed teams.
• Strong perspectives on leveraging AI, automation, and tooling to drive productivity, improve decision-making, and enable a builder-first culture.
• Exceptional cross-functional collaboration and influence skills; comfortable working across Product, Sales, Finance, People, and technical teams.
• Strong analytical, problem-solving, and experimental mindset; comfortable testing new approaches and iterating based on data and outcomes.
• Excellent communication and presentation skills with both internal leaders and external partners.
• Comfortable operating in ambiguity, balancing innovation with operational rigor, and driving accountability across large, complex organizations.

Why Join:

This is a highly visible, high-impact role at the center of a large, fast-growing global organization. You’ll have the opportunity to shape the strategic direction of the organization, work directly with a founder-SVP, and drive initiatives that fundamentally improve the effectiveness and scale of the business.

This is a career-defining opportunity for a strategic leader who wants to operate at the forefront of organizational growth and transformation.

Job Data by YubHub.