CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing 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 from 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, orchestrating 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 utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. 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 the 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:

• U.S. citizenship 
• 7+ 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 to 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 in resolving complex and important escalations 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

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing 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 from 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, orchestrating 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 utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. 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 the 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:

• U.S. citizenship 
• 7+ 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 to 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 in resolving complex and important escalations 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

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing 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 from 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, orchestrating 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 utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. 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 the 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:

• U.S. citizenship 
• 7+ 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 to 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 in resolving complex and important escalations 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

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing 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 from 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, orchestrating 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 utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. 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 the 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:

• U.S. citizenship 
• 7+ 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 to 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 in resolving complex and important escalations 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

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing 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 from 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, orchestrating 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 utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. 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 the 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:

• U.S. citizenship 
• 7+ 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 to 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 in resolving complex and important escalations 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

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing 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 from 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, orchestrating 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 utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. 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 the 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:

• U.S. citizenship 
• 7+ 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 to 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 in resolving complex and important escalations 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

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

• Remote - San Francisco
• Remote - Texas 
• Remote - NYC
• Remote - Boston 
• Remote - Chicago 
• Remote - Seattle 
• Remote - Atlanta 

We are looking for a Sales Director to join our growing business. You will lead an existing team of Enterprise Account Executives and you will be measured by achieving your team’s overall quota, new logo acquisition, and growing Databricks usage. This is a team of account executives that are passionate about building a data ecosystem, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Regional Vice President.

The impact you will have:

• Lead, grow and inspire the Enterprise Account Executives to help them overachieve on their goals and objectives.
• Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes.
• Develop trust-based relationships with customers and partners to ensure long-term success.
• Drive ongoing learning of the continuous innovation being delivered to our customers via our data intelligence and GenAI solutions.
• Actively participate in the region’s growth plans, ensure forecast accuracy and build a customer-focused, durable, high-growth business.

What we look for:

• You live the Databricks’ core values and instill them in the team you are leading.
• You will have 5+ years of successfully building and leading high-growth new logo sales teams serving enterprise customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces.
• History of exceeding quota and thriving in hyper-growth Enterprise technology companies.
• Understanding of value selling and sales methodologies such as MEDDPICC, Challenger, Command of Message.
• Knowledge of developing partner ecosystems to help grow strategic enterprise territories and ensure customer success.
• With this role, a proven track record of leading teams to success when focused on enterprise territories and driving consumption is critical. 

Candidates in the listed location(s) are encouraged for this role:

• Remote - San Francisco

As a Strategic Hunter Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. You will be over strategic accounts, and will be responsible for closing new customers and growing consumption. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. 

The impact you will have:

• You will have a direct influence on the data strategy of the most disruptive companies today
• You will communicate account strategy to Databricks Senior Leadership on a regular basis
• You will allocate Databricks resources to break into new accounts and grow existing accounts
• Meet with C-Level Executives to Practitioner level to understand how Databricks can make an impact on business outcomes
• Exceed activity, pipeline, and revenue targets
• You will use a creative, fail-fast approach to selling and creating value for customers
• You will build a plan for success internally at Databricks and externally with your accounts

What we look for:

• Passion for selling a highly technical product in the cloud
• 6+ years of experience with Open Source Technologies and build vs buy decision-making
• 6 -8 years of experience with Value Selling Methodologies
• A creative salesperson with a well-defined prospecting motion
• Sales experience within big data, Cloud, or SaaS sales
• Proven years of experience exceeding sales quotas
• Success closing new accounts 

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing 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 with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their 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 by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as 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 within an organization. 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 prioritized customers
• Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on 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, often spanning multiple use cases within the largest and most complex organizations
• Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise
• Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades
• Develop an execution plan spanning all customer-facing technical roles and teams across the following 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 to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression

What we look for:

• 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside 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 for distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverable
• Technical program or project management, including accountability for accounts, stakeholders, and resources
• Experience resolving complex, high-stakes escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
• Can travel up to 30% when needed

CSQ327R60

About the Team

The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored from the CEO and Founders down. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes, not just a platform.

You will be part of the founding team, embedded with our most strategic customers from the very first sales call, all the way through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how."

Role Description

As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million dollar business problem and Databricks' technical solution. You are a "product manager for the field," owning the entire non-technical lifecycle of an FDE engagement.

You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and, most importantly, scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing.

This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, "get it done" execution mindset.

What You’ll Do

• C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, 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, prioritizing 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. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks.
• 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. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done.
• Ideal Experience: 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a "builder" or "founder" capacity. (Alternatively: 5+ years in a senior, client-facing "product" or "delivery" role at a top-tier tech company or consultancy).
• 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%.

FEQ127R316

As a Specialist Solutions Architect (SSA) - Cloud Infrastructure & Platform, you will guide customers in the administration and security of their Databricks deployments for a variety of our customers. You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with public cloud - AWS, Azure, and GCP.  SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs, and establish yourself in an area of specialty - whether that be cloud deployments, security, networking, or more.

The impact you will have:

• Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment
• Architect production-level deployments, including meeting necessary security and networking requirements 
• Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management
• Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content and custom architectures
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community

What we look for:

• 5+ years of experience in a technical role with expertise in at least one of the following:
• Cloud Platforms & Architecture: Cloud Native Architecture in CSPs such as AWS, Azure, and GCP, Serverless Architecture.
• Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance. 
• Networking: Architecture design, implementation, and performance
• Identify management: Provisioning, SCIM, OAuth, SAML, Federation
• Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, audit, and cost management
• Infrastructure Automation and InfraOps with IaC tools like Terraform
• Maintain and extend the Databricks environment to adapt to evolving complex needs.
• Deep Specialty Expertise in at least one of the following areas:
• Security - understanding how to secure data platforms and manage identities
• Complex deployments
• Public Cloud experience - experience designing data platforms on cloud infrastructure and services, such as AWS, Azure, or GCP, using best practices in cloud security and networking.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
• Hands-on experience with Python, Java, or Scala, and proficiency in SQL, and Terraform experience are desirable.
• 2 years of professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures
• 2 years of customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• This role can be remote, with travel up to 30% when needed

CSQ227R175

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance is required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers 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:

• Handle 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
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams 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:

• US Top Secret Clearance Required TS/SCI Preferred this position
• 6+ years 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
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

CSQ227R175

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers 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:

• Handle 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
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams 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:

• US Top Secret Clearance Required TS/SCI Preferred this position
• 6+ years 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
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

SLSQ326R92

As an Strategic Account Executive in Databricks' Gaming vertical, you are an enterprise sales professional experienced in selling to 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 System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. 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 Director of Enterprise Sales.

The impact you will have:

• Present a territory plan within first 90 days
• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts.

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, and SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Bachelor's Degree

CSQ127R67

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our federal government customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. This role can be remote.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems.
• Own production rollouts of consumer and internally facing GenAI applications.
• Serve as a trusted technical advisor to customers across a variety of domains.
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally.
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap.

What we look for:

• Experience working with U.S. federal civilian, state, or local agencies. 
• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy.
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.).
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.
• Passion for collaboration, life-long learning, and driving business value through AI.
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets.

SLSQ127R420

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

As the GTM Digital Native Programs Leader, you will operate as the de facto COO and scale pipeline and consumption  for th high growth Databricks’ Digital Native vertical. You will partner in a "two-in-a-box" model with the Industry GTM Leader to translate  strategy into durable, repeatable commercial execution across a rapidly scaling global field organization. You will work closely with sales and field engineering leaders to ideate, build, execute and scale global programs. 

You will play a critical role in shaping Databricks’ growth trajectory. You will be part of a lean GTM leadership that powers sellers to deliver measurable business outcomes through scale & leverage. You will be the lead orchestrator for your industry vertical, at the center of a mandate to inspire executives, drive industry outcomes, and unleash Databricks’ partner ecosystem in the high-growth SaaS space. 

The Impact You Will Have

Strategy & Operating Model

• Operating Model Ownership: Own and implement end-to-end op-model (across Sales, FE, Product, Engineering, Developer Relations, Partners) in a consistent global approach.
• Product-GTM Strategy: Inform the annual Digital Native strategy by synthesizing product telemetry and engineering roadmaps with field signals to identify Big Bets in the digital natives space.
• Data-Driven Product Feedback: Synthesize learnings from internal (field, product, engineering, developer relations) & external (customer, partner, developers) stakeholders into durable best practices 

Market Presence & Influence

• Internal Executive Influence: Wield two-way influence on Databricks’ Field (Sales, FE, Business Dev), Product & Engineering leadership: i.e., reflect industry signals in product roadmaps, as well as translate product activation goals into verticalized industry programs
• Market Presence: Own and engage with technical & business customer and partner executives, build market presence to uncover signals on technical friction, business value and Databricks differentiators.

• Industry Evangelism: Serve as a visible evangelist & thought leader (e.g., open source advocacy, scaling AI adoption), representing Databricks’ at key customer, partner, industry and developer forums

Execution & Accountability

• Full-Funnel Program Design: Select & design the industry’s programs across products (and verticalize product programs) across the full funnel: demand generation → pipe creation & progression → consumption
• Asset Creation: Create high-quality and scalable program assets that will be used by the full field (Sales, FE, BD, Marketing, Ecosystem) at scale

• Field Activation & Community: Drive continuous field adoption of program assets and outcomes by cross-pollinating best practices across product and field teams in high-impact community cadences.
• Ecosystem Integration: Collaborate with the partnership, ISV, and Data Marketplace teams to drive adoption of a seamless, interconnected data-sharing ecosystem.

• Outcome Measurement: Deliver commercial outcomes by establishing measurement and monitoring systems that track product telemetry, industry & partner program performance.

• Executive Accountability: Drive cross-functional leadership accountability for program adoption and outcomes through continuous monitoring and executive influence.

What We Look For

Strategic & Operational Mindset

• COO Mindset: Proven ability to act as the operational backbone of a business vertical, focusing on pipeline health, organizational efficiency, and execution.
• Strategic Execution: A track record of defining and translating complex industry strategies into durable, "field-ready" commercial motions for large organizations.
• Programmatic Vision: Experience developing global, scalable GTM frameworks - moving beyond "one-off" deals to create a scalable engine for growth.

Technical & Domain Expertise

• Technical Chops: Technical knowledge on Databricks critical for this market. Comfort with discussing  AI & LLM, Lakehouse, Lakebase, governance 

• Industry POV: A strong point of view on macro trends in high-growth SaaS and key persona triggers, helping to shape our industry advantage against peers.

• Open Source Knowledge: A strong understanding of the open-source ecosystem and how it integrates with proprietary enterprise platforms.
• AI Builder Experience: Proven track record of hands-on experience building AI systems (MLOps, GenAI apps, or large-scale predictive models).

Execution & Analytical Skills

• Full-Funnel Expertise: Deep understanding of sales play mechanics, including lead generation, pipeline progression, and consumption drivers.

• Scale Orientation: A "multiplier" mindset with a passion for activating large-scale field organizations and cross-pollinating best practices.
• Entrepreneurial Spirit: A "doer" mindset with the ability to operate in a fast-paced, ambiguous environment and drive results across cross-functional teams.

Leadership & Scale

• Influence Without Hierarchy: Ability to influence & drive outcomes across senior executives & global teams via influence, clarity & presence versus direct reporting lines.
• Cross-Functional Orchestration: Skill in collaborating with Product, Engineering, and BD leadership to align product roadmap shifts with commercial requirements specific to high-growth SaaS customers.

ADD Req ID

As a Geo Hunter Account Executive on Databricks' Digital Native Business (DNB) Sales Team, you are an accomplished sales professional experienced in selling to Mid-Market and 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 System Integrators. Always looking for new opportunities, you will close new accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Present a territory plan within first 90 days
• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts.

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, and SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 2-5 years of Mid-Market / Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
• Success closing new accounts while working existing accounts
• Understanding of Apache Spark™ and big data preferable
• Bachelor's Degree

SLSQ227R525

Remote-New York, Atlanta

As a Strategic Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into CMEG accounts specific to Gaming/Betting. 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 System Integrators. Always looking for new opportunities, you will be asked to grow within existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 7+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

CSQ128R2

Mission:

At Databricks, we’re on a mission to help data and AI teams solve the world’s toughest problems and that starts with empowering our customers. 

The Customer Enablement team drives this mission forward by helping enterprise organizations develop the skills they need to accelerate adoption, transformation, and measurable business outcomes. As a Customer Enablement Architect, you’ll own the commercial success of Databricks’ training and enablement portfolio across the Americas Business Units. 

Reporting to the Americas Customer and User Enablement Leader, we are looking for a US-based Customer Enablement Architect to work with cross-functional teams, including Sales, Field Engineering, Professional Services and Scaled User Enablement to position the value of Databricks training, develop custom enterprise learning plans and drive talent transformation with strategic accounts. 

This is a highly visible, customer-facing role where your ability to connect learning solutions with business outcomes will directly influence customer retention, expansion, and top-line growth. You’ll work closely with account executives, engagement managers, and solution architects to position Databricks training and certification programs as a strategic investment in each customer’s data and AI journey. From diagnosing skill gaps to building tailored enablement roadmaps, you’ll ensure our customers have the knowledge and confidence to realize the full value of their Databricks platform.

The impact you will have:

• Drive the commercial success of Databricks’ learning and enablement offerings across enterprise accounts for the assigned Americas Business Unit.
• Partner with sales and customer success teams to position learning as a key lever of customer adoption, renewal, and expansion.
• Translate customer goals into tailored enablement programs that accelerate transformation and ROI.
• Lead the end-to-end lifecycle of customer training programs—from discovery and design through execution and post-program analysis.
• Conduct learning diagnostics to identify skill gaps and adoption blockers, using data to design impactful training strategies.
• Deliver high-quality, blended learning experiences (virtual, classroom, and on-demand) that achieve measurable customer outcomes.
• Track and report on enablement success metrics, including adoption, renewal influence, and revenue impact.
• Mentor colleagues across the Learning & Enablement organization, sharing best practices and driving excellence in customer engagement.

What we look for:

We are looking for a 'Builder'—someone who pairs a deep curiosity for the evolving Data & AI landscape with a relentless drive for execution. You don't just deliver existing programs; you identify whitespace and pilot creative enablement strategies that challenge the status quo. You will transform vision into reality by staying curious about customer roadblocks and innovating new ways to bridge the gap between technical potential and tangible business value.

• Proven track record of selling and implementing learning solutions into enterprise accounts, ideally in the software or cloud technology space.
• Deep understanding of the Americas enterprise landscape, industry verticals, and cultural nuances in driving customer engagement and training adoption.
• Strong background in program management, enablement strategy, and learning & development design.
• Demonstrated ability to influence executive stakeholders and gain buy-in for training as a critical lever of digital transformation and ROI.
• Excellent communication, relationship building, and consultative sales skills with fluency in English.
• Results-driven mindset with the ability to balance customer satisfaction and revenue goals.
• Demonstrated ability to learn new technologies quickly and apply creative solutions to territory-specific customer roadblocks.
• Proven track record of identifying regional whitespace and building scalable enablement frameworks that influence the broader organization.

CSQ427R87

Note: This role is remote within the United States, with a strong preference for candidates based in the Eastern or Central time zones. Candidates should expect to travel at least once a month.

The Forward Deployed AI Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally to shape long-term strategic priorities and initiatives alongside AI/ML Product, Research, and Engineering.

We are looking for a world-class leader to lead and grow our AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key accounts. 

The impact you will have:

• Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale.
• Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations.
• Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions.
• Lead strategic AI PS initiatives, practice development, and standardized delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team.
• Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy.
• Own OKRs for AI-services led accounts, revenue, utilization, and public references.
• Represent Databricks as a thought leader in AI/ML.

What we look for:

• Extensive experience managing, hiring, and building a team of high-performing data scientists/ML engineers and leaders, with a track record of scaling organizations through developing scalable processes and cultivating leaders.
• Ability to scope, guide, and sell technical engagements, manage escalations, and ensure successful delivery in enterprise environments.
• Deep technical expertise in ML, GenAI, and data science, and curiosity to continue to stay up-to-date in this ever-changing field.
• Experience leading teams building cutting-edge production ML solutions in cloud environments (AWS, Azure, or GCP).
• Proven success in developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements.
• Develop and drive a strategic vision for AI transformations across our customers, including product management for applied AI projects, organizational change management for the adoption of AI, and mapping and aligning with key stakeholders.
• Demonstrated experience in cross-functional leadership roles, collaborating with Sales, Product, and GTM teams to drive business impact through AI/ML.
• “Company-first” mindset.
• [Preferred] Experience in a customer-facing consulting or professional services leadership role.
• [Preferred] Experience working with Databricks.

RDQ227R1176

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

Mission

Databricks is hiring an L5 Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise environment. This role will focus on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases. The scope includes modern access patterns such as MCP, integration, and trust boundary security, and broader security engineering support across enterprise platforms and services. This engineer will help identify risk, define practical security requirements, and improve security outcomes through strong technical judgment and cross-functional partnership.

Opportunity

This role sits at the intersection of enterprise architecture, security engineering, and business enablement. The engineer will review new technologies, integrations, and workflows with an emphasis on secure design, authentication and authorization, data handling, logging, third-party connectivity, API and token security, and operational resilience. The role partners closely with IT, Engineering, Legal, Privacy, Procurement, and business stakeholders to surface risk early, set clear requirements, and support scalable adoption of secure patterns. This is a strong opportunity to help shape how Enterprise Security supports SaaS, internal platforms, automation, and AI-connected systems as the environment continues to grow in complexity.

Requirements: 

• 7+ years of experience in security engineering, enterprise security, application security, cloud security, or a related field.
• Experience conducting security design or architecture reviews for enterprise applications, SaaS platforms, integrations, or internally developed systems.
• Strong understanding of authentication, authorization, SSO, federation, SCIM, API security, token handling, secrets management, and least privilege design
• Experience assessing data flows, third-party integrations, trust boundaries, logging and monitoring, and security controls across interconnected systems.
• Ability to evaluate risk in modern enterprise environments, including automation platforms, AI-adjacent workflows, and emerging integration patterns such as MCP.
• Strong written and verbal communication skills, including the ability to translate technical risk into clear requirements and actionable guidance.
• Experience driving security outcomes through engineering judgment, influence, and scalable process improvement.
• Familiarity with cloud platforms, enterprise identity systems, and core control domains such as audit logging, encryption, access control, data retention, and incident response.

Outcomes

• OUTCOME 1: Strengthen security practices across enterprise application and integration reviews by identifying key risks early, improving requirement quality, and helping teams address security issues earlier in the lifecycle.
• OUTCOME 2:  Strengthen Enterprise Security’s capability to assess and guide AI-adjacent security, MCP and integration security, and cross-system data flow risk, while improving the consistency and scale of security reviews.

SLSQ427R115

Candidates in the listed location(s) are encouraged to apply for this role

• Remote - San Francisco
• Remote-Seattle 

As a Strategic Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, specifically supporting Microsoft. 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 value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Sr.Director of Enterprise Sales, you will map to enterprise clients under the DNB vertical.  You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client

The impact you will have: 

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

What we look for: 

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
• Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
• The ability to simplify a technical capability into a value-based benefit
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
• Managing a small set of enterprise accounts rather than a broad territory
• Bachelor's Degree

GAQ227R280

We are seeking an experienced Senior Manager, International Equity Administration to lead and scale our global equity operations across ~45 countries, including ~20 Employer of Record (EOR) jurisdictions. This role is critical to ensuring compliance with complex international regulations, managing global equity transactions, and delivering a best-in-class employee equity experience.

You will partner closely with Tax, Legal, Accounting, Mobility, Payroll, People Ops, and Equity Administration teams to ensure seamless execution of equity programs, maintain jurisdiction-specific compliance, and support global audits and financial processes.

The impact you will have: 

Global Equity Operations

• Lead international equity administration and compliance for Databricks, Inc. Manage international option exercises, RSU/RSA releases, tender offer-related taxable events, and similar transactions
• Reconcile international stock-based compensation activity
• Manage our Cash Settlement Program (CSP) for non-withholding countries
• Implement Shareworks modules and broader equity system solutions to build a best-in-class equity infrastructure that prioritizes scalability, efficiency, and automation 

Compliance & Reporting

• Ensure compliance with global regulations, including (but not limited to):
• Australia ESS reporting
• Israel trustee structures
• Singapore expatriate terminations
• French Qualified Plan compliance
• Partner with our internal Tax team on international reporting and filings
• Support taxation and education for international and mobile employees
• Lead responses to international audits (e.g., Australia, India, Israel, U.K.)

Cross-Functional Partnership

• Collaborate closely with internal and external Mobility teams and consultants regarding equity taxation for globally mobile employees
• Partner with Accounting to support financial close and local statutory audits
• Work with internal and external Legal partners, and our Tax team, to interpret and implement regulatory changes
• Partner with internal and external Payroll teams and vendors to ensure accurate reporting of all equity transactions, including resident and non-resident requirements
• Partner with People Ops to ensure LOA and status updates are fed/audited timely and accurately

Projects & Program Development

• Lead and contribute to strategic and ad hoc global equity initiatives
• Support expansion efforts, including a potential ESPP rollout and administration
• Drive process improvements and optimize systems to enhance scalability and efficiency

Employee Experience

• Enhance equity education and communications for taxable equity events, including but not limited to: RSU releases, tender offer events, and global mobility transactions
• Ensure a consistent, compliant, and high-quality equity experience across all jurisdictions

What we look for:

Experience

• Deep experience with international equity administration and global compliance
• Strong knowledge of international tax regulations and reporting requirements
• Experience supporting equity for globally mobile employees
• Proven ability to operate effectively in a fast-paced, global environment
• Proven ability to use AI tools to automate day-to-day processes & audits

Skills

• Exceptional attention to detail and accuracy
• Ability to manage and respond to complex international audits
• Strong cross-functional collaboration and communication skills
• Highly organized with strong project management capabilities
• Strong operational knowledge of Morgan Stanley Shareworks, Deloitte GAIN tool, Workday HR and Payroll, and other Equity Administration Systems. 

Certifications

• Certified Equity Professional (CEP), Level 3 preferred

Why This Role Matters

This role is instrumental in scaling Databricks’ global equity programs while ensuring compliance across diverse and evolving regulatory environments. You will have the opportunity to build and enhance processes, influence global strategy, and directly impact the employee experience worldwide.

Location: San Francisco Bay Area, California

REQ ID FEQ127R103

Mission

We are seeking experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space.

Outcomes

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You provide structured mentorship for other team members.
• Gain the respect of your peers based on your experience, insight, and contributions.

Competencies:

• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud.
• An ability in data-driven business transformation, and driving change with data.
• Production programming experience in Python, R, Scala or Java
• Nice to have: Databricks Certification

SLSQ127R630

As an Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Retail & Consumer Packaged Goods accounts. You know how to compress decision cycles by penetrating accounts fast and demonstrating the value to the customer. You love understanding a product in-depth and are passionate about communicating its value to Customers. Always looking for new opportunities, you will be asked to close new accounts while maintaining existing accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. 

The impact you will have:

• Assess your accounts and develop a strategy to identify and engage all buying centers
• Use a solution-based approach to selling and creating value for new logo accounts 
• Be comfortable switching between technical stakeholder and business buyer personas, in order to connect the customers challenges to business value through the entire sales cycle
• Identify and close quick wins while managing longer, complex sales cycles
• Track all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce
• Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks impact
• Orchestrate and work with teams to maximise the impact on your ecosystem
• Build value with all engagements to promote successful negotiations to close point
• Be customer-focused by delivering technical and business results using the Databricks Intelligence Platform

What we look for:

• 5+ years of enterprise sales experience exceeding quotas, covering relevant accounts and industries
• Strong closing experience and evidence of exceeding sales quota 
• Sales experience within Cloud software, open source technology, or ideally Data and AI space
• Methods for co-developing business cases and gaining support from C-level Executives
• Familiarity with sales methodologies and processes (e.g. Territory and Account planning, MEDDPICC, and value/discovery selling)
• Simply articulate intricate cloud technologies
• Bachelor's Degree or equivalent experience preferred

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 into one of our largest AI native 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 account 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 prioritized 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:

• 7+ 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

P-1545

• Build a territory plan by 30 days with a clear account prioritization strategy.
• Align both new and existing customers with the Lakehouse vision and ecosystem.
• Be able to range from faster transactions to large strategic 7 figure deals.
• Meet and exceed activity, pipeline, and revenue targets; you will be expected to prospect and generate pipeline in this role.
• Maintain clear Salesforce and Clari hygiene including use case, MEDDPICC, revenue forecasts, and account notes.
• Lead with a customer first mindset and focus on business value.

• 1+ years of closing experience, carrying a direct revenue quota.
• Prior experience in big data, Cloud, or SaaS sales.
• Be able to quickly learn new technologies and value proposition.
• Experience exceeding sales KPIs and quotas.
• Success closing new accounts while working existing accounts.
• Proficiency in MEDDPICC.
• A proven history of exceeding annual revenue targets.
• Consistent top performer with a history of internal promotion.

SLSQ327R74

As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 1000 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 value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Automotive, Industrials and Logistics team within our manufacturing vertical and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will manage a small set of clients in our Industrial subvertical.  You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.

The impact you will have: 

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

What we look for:

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
• Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
• The ability to simplify a technical capability into a value-based benefit
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
• Managing a small set of enterprise accounts rather than a broad territory
• Bachelor's Degree

SLSQ227R447

Location is Remote - AMER - willingness and able to travel

Databricks is assembling a small group of elite sales leaders to engage in our most complex, high-stakes customer opportunities. This role is built for individuals who have operated at the highest levels, leading transformation rather than just transactions. You will be deployed into Databricks' most critical accounts and opportunities where executive alignment is fragile, deal velocity has stalled, or the path forward requires sharper thinking and stronger leadership. You will spend the majority of your time in the field with customers and account teams, with equal responsibility to elevate how we sell internally.

This is a 50/50 role:

• Externally: Shaping customer vision, guiding executives, and driving deal outcomes.
• Internally: Advising, coaching, and raising the standard of the field.

The primary objective is to make the existing account team better, faster, and more effective, not to override their efforts.

The impact you will have:

• Own the Hardest Moments – Step into late-stage, high-value, multi-threaded deals where alignment is not established and execution must improve.
• Operate at the Executive Layer – Engage CIOs, CDOs, and business leaders with a strong, credible point of view (POV) on data, AI, and platform transformation.
• Drive Deal Velocity – Bring structure to ambiguity, align stakeholders, clarify value, and compress decision cycles.
• Lead Through Influence – Earn trust quickly across both customers and internal teams; know when to push, when to align, and how to create movement.
• Elevate the Field – Coach Account Executives (AEs) and field leaders in real time, improving deal strategy, qualification, and execution standards.
• Scale What Works – Translate wins into repeatable plays across EBCs, QBRs, All Hands, and global enablement forums.
• Expand Enterprise Footprint – Identify new buying centers, use cases, and paths to platform adoption across large, complex organizations.

What we look for:

• Background in Data & AI organizations in highly strategic sales roles.
• 10+ years with consistent top-tier performance in enterprise environments (Fortune 500 / Global 2000).
• Experience leading large, complex, multi-year, multi-stakeholder deals.
• Executive presence with the ability to quickly establish credibility at the C-level.
• A strong, defensible POV on data platforms, AI, and enterprise transformation.
• Demonstrated ability to influence without authority across account teams, leadership, and partners.
• Experience coaching and elevating high-performing sales teams in live deal environments.
• Comfort operating across industries, ambiguity, and high expectations.
• High ownership, high standards, and low ego.

FEQ227R245

This Sr. Field Engineering Manager will lead a team of Solutions Architects (SA) focusing on clients in the Financial Services industry within our mid market segment (Emerging Enterprise).

This role will expand and develop a dynamic team skilled in working with customers to help them define their Data and AI strategy along with transforming their data engineering, analytics, and ML/AI workloads. It will require experience partnering with the sales organization to help grow consumption and win new workloads by enhancing your team's effectiveness; being an expert at communicating complex value-focused solutions; and building relationships with key stakeholders in large customers.

The impact you will have:

• Hire, train, and grow a team of Solutions Architects for a company and business unit in high-growth mode.
• Consistently meets or exceeds field targets by making sure the SA team knows how to qualify workloads - especially from a technical perspective, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle. 
• Ensure customer success with Databricks and provide outsized value to their businesses.
• Establish relationships across internal organizations (partners, services, sales, product, engineering, etc.) to ensure the success of the customers and team.

What we look for:

• 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning).
• 2+ years of experience building and leading technical customer-facing teams - hiring, onboarding, and supporting team members in a hypergrowth environment; 
• Experience in Financial Services industry as an IC or leader is a big plus
• A history of building a territory; growing strategic accounts; and exceeding targets
• Led a team through best practices for technical account strategy, architecture discussions, and solution advocacy in a highly competitive and political customer environment.
• Inspiring a team vision about the unique nature of their group - to help foster a healthy and productive working relationship within the team and other organizations. 
• A history of execution by managing workloads and consumption with sales counterparts.  Sharing learnings and blockers with the team and working to accelerate growth and adoption. 
• Experience with driving executive alignment in accounts that guide strategic data infrastructure decisions and establish partnerships through adoptions and growth.

CSQ327R23

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

SLSQ227R758

As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 1000 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 value to Customers and System Integrators.

Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join our manufacturing vertical and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will manage 3 large enterprise Consumer Packaged Goods (CPG) clients within our Retail Vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.

The impact you will have: 

• Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
• Drive value-based growth within the account.
• Expand the Databricks footprint into new business units and use cases.
• Exceed activity, pipeline, and revenue targets.
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
• Use a solution-based approach to selling and creating value for customers.
• Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
• Prioritize opportunities and leverage appropriate resources.
• Build a plan for success internally at Databricks and externally with your account

What we look for:

• You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
• Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
• Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
• The ability to simplify a technical capability into a value-based benefit
• 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
• Managing a small set of enterprise accounts rather than a broad territory
• Bachelor's Degree

CSQ327R64

The Senior Engagement Manager is a trusted advisor within the Professional Services organization to account teams and customers in the Digital Native Business (DNB) vertical for successful implementation and value realization. You will independently lead large, complex, cross-functional programs with minimal oversight, navigating ambiguous scenarios to drive significant impact on your assigned accounts.

The impact you will have:

• Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders.
• Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations.
• Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets.
• Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals.
• Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction.

What we look for:

• 7-10 years running a Professional Services line of business.
• 10+ years in senior customer-facing roles with a mix of influencing and execution.
• Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google).
• Strong knowledge of Databricks architecture, competitors, and migration benefits.
• Proven track record of managing large-scale program plans and service delivery.
• Ability to travel up to 25-50% as required.

CSQ227R171

The Lead Engagement Manager delivers measurable impact for our Healthcare & Life Sciences customers as well as at the Business Unit (BU) or Regional team level in the Professional Services organization. You will own and independently scope multi-quarter, highly complex initiatives to solve problems with no clear precedent, operating with high autonomy in high-stakes environments.

The impact you will have:

• Regional Impact: Drive excellence at the BU/Region level, contributing to team-level booking targets and consumption goals.
• Complex Problem Solving: Navigate complex regional, regulatory, or market-specific complexities across multiple countries.
• Mentorship: Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects.
• Sales Strategy: Shape account strategy to align with client goals and lead the sales of complex Professional Services & Training (PS&T) offerings.
• Strategic Relationships: Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements.

What we look for:

• 10+ years of leadership experience in Professional Services.
• Expert-level understanding of PS&T offerings and the ability to customize solutions for complex environments.
• Proficient thought leadership, increasingly viewed as an external expert in the industry.
• Participate in the hiring process to attract top-tier talent. 
• Expertise in Databricks architecture, ecosystem, and strategic account planning.
• Ability to travel up to 25-50% as required.

CSQ327R137

Sr. Technical Program Manager, Public Sector - Professional Services (PubSec)

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

As a Sr. Technical Program Manager at Databricks, you will be a key driver in our Professional Services team's mission to accelerate and de-risk customer outcomes. Your role is central to achieving project goals and maintaining exceptional customer satisfaction, particularly within our U.S. Government customer base. While you are not expected to have hands-on coding experience, your technical acumen and strategic influence will be critical for guiding complex engagements to success. You will work closely with cross-functional teams to deliver excellence at every stage.

The Impact You Will Have

• Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team.
• Guide technical teams through key architectural decisions, helping them navigate trade-offs between established and innovative approaches.
• Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals.
• Individually deliver on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework.
• Effectively manage all aspects of a program, including scope, schedule, budget, risk, and resources, with a focus on technical complexity.
• Act as the primary point of escalation for customers regarding technical delivery issues and, as needed, escalate to other parts of Databricks for rapid resolution.
• Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks’ vision and solutions and facilitating productive, goal-oriented meetings.

What We Look For

• Technical Acumen & Decision Making: A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder.
• Program & Project Management: Experience managing large, complex engagements and mitigating unexpected technical challenges. Familiarity with managing the trade-offs between scope, budget, and timeline.
• Communication & Leadership: Excellent communication, negotiation, and conflict resolution skills. A track record of influencing technical teams and effectively tailoring messages for different audiences, from engineers to executives.
• Experience with BI, data management, and big data technologies is preferred.
• Proven ability to multitask and manage multiple engagements while delivering a high level of customer satisfaction.
• The candidate must be clearable with the US Government.

SLSQ427R112

As an Geo Hunter Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into and activating Large Manufacturing 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 System Integrators. Always looking for new opportunities, you will be asked to to target a greenfield patch and activate new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Experience managing large, complex Manufacturing accounts is preferred. 
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 5+ years experience exceeding sales quotas
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

CSQ227R88

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (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:

• 6+ years 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 20% of the time
• Databricks Certification

CSQ227R88

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (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:

• 6+ years 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 20% of the time
• Databricks Certification

CSQ227R88

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (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:

• 6+ years 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 20% of the time
• Databricks Certification

CSQ227R88

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (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:

• 6+ years 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 20% of the time
• Databricks Certification

CSQ227R88

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (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:

• 6+ years 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 20% of the time
• Databricks Certification

CSQ227R88

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (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:

• 6+ years 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 20% of the time
• Databricks Certification

CSQ227R88

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (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:

• 6+ years 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 20% of the time
• Databricks Certification

CSQ227R88

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (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:

• 6+ years 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 20% of the time
• Databricks Certification

CSQ227R88

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (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:

• 6+ years 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 20% of the time
• Databricks Certification

CSQ227R175

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers 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:

• Handle 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
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams 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:

• US Top Secret Clearance Required this position
• 6+ years 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
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

FEQ425R112

The Senior Manager, Partner Strategy & Operations defines the Partner Ecosystem and GTM strategies for SI, Cloud, and ISV channels. This role provides the strategic analysis and operational rigor necessary to scale a high-growth GTM business. You will partner across Partnerships, Sales, Finance, and Data teams to translate partner performance into actionable insights, resource investments, and long-range planning models.

This role reports to the Director of Partner Strategy & Operations.

What You’ll Do

Combine your strategy and operations toolkit with deep data proficiency to lead major partner initiatives including:

• Define the Partner GTM Strategy - set strategic choices for the SI, Cloud, and ISV ecosystems; establish investment frameworks to ensure resources are deployed to the highest-impact areas.
• Trusted Advisor to Partner Leadership - serve as a strategic partner to Partnerships Leadership by defining, tracking, and implementing goals, programs, and strategies; act as the bridge between executive vision and tactical execution.
• Orchestrate Annual & Long-Range Planning - drive the end-to-end planning process for the partner organization, including revenue modeling, investment ROI analysis, headcount forecasting, and capacity setting.
• Lead Executive Synthesis & AI Insights - develop and deliver high-stakes artifacts including Quarterly Business Reviews (QBRs), investment business cases and strategic narratives for Partnerships leadership using a mix of traditional BI and emerging AI tools to provide deeper signal on ecosystem health
• Instrument the Data Foundation - build and oversee the reporting infrastructure; develop dashboards and key performance indicators (KPIs) to track the health of the business and partner productivity.
• Drive Performance Visibility - manage operational cadences and business reviews, providing clear signals on ecosystem health.

Qualifications

• 7+ years in Strategy & Operations, Management Consulting, FP&A, or Business Operations; experience in Enterprise/Mid-Market SaaS preferred.
• Executive Presence & Influence: Proven ability to act as a trusted advisor to senior leadership; comfortable framing complex trade-offs and navigating ambiguity to drive consensus among VPs and cross-functional heads.
• Strategic Storyteller: Exceptional ability to synthesize complex data sets into a 'so-what' narrative; highly skilled in creating compelling executive-level presentations and board materials that lead to clear decisions.
• Data & AI Expert: Advanced proficiency in querying and scoping (SQL, Databricks, BigQuery) and an active interest/proficiency in using AI tools to automate GTM operations and insights.
• Process Architect: Ability to envision E2E process changes, document requirements, and guide execution in partnership with technical teams to solve complex organizational needs.
• GTM Tooling Proficiency: Direct experience with BI and sales tools including Salesforce, Tableau, and automated reporting repositories.
• Stakeholder Management: A track record of building deep, collaborative relationships across global GTM teams (Finance, Sales, Marketing) to ensure the partner strategy is seamlessly integrated.

Success Metrics

• Strategic Alignment: Clearly defined partner goals and programs that align with broader GTM objectives and executive priorities.
• Planning Accuracy: Signal quality of HC forecasting, capacity assumptions, and long-range modeling variance.
• Leadership Trust: Degree of influence on partner investment decisions and the adoption of recommended GTM pivots.
• Ecosystem Productivity: Visibility into and optimization of partner-driven ROI, revenue contribution, and partner efficiency.

How You Operate

• Data-Driven Rigor: Using high-fidelity data and SQL-driven insights to inform every strategic choice.
• High-Stakes Communication: Moving beyond the 'what' of the data to the 'choices' for leadership; providing crisp, decision-oriented synthesis.
• Strategic Ownership: Taking a first-principles approach to the partner ecosystem, identifying where to play and how to win.
• Collaborative Partnership: A 'service-first' mindset, bringing all possible expertise to bear on projects through an expansive internal network.

CSQ227R17

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:

• 7+ 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

As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the fastest-growing tech companies. 

You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers.

This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers.  You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders.

This role will report to the Director of Solutions Architecture for the Digital Native Business Named Account Unit.

Responsibilities:

• Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads.
• Adapt the SA team's skills and engagement model to match the needs of Digital native customers 
• Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle
• Travel to customer sites for executive sessions, technical workshops, and building relationships
• Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team
• Stay current with emerging Data and AI trends in the digital native tech sector

What we look for:

• 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning)
• 5+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment 
• A history of building a territory, growing strategic accounts, and exceeding targets
• Inspiring a team vision about the unique nature of the digital natives business 
• A history of execution by managing workloads and consumption with sales, product, and engineering counterparts
• Experience owning executive alignment in accounts that guide strategic decisions 

SLSQ227R622

As a Strategic Account Executive at Databricks, you are a strategic sales professional experienced in selling into Manufacturing/Logistics 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 System Integrators. Always looking for new opportunities, you will be asked to close new accounts while maintaining existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

• Present a territory plan within first 90 days
• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts.

What we look for:

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 5+ years experience exceeding sales quotas
• Success closing new accounts while working existing accounts
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree