You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy.

The Impact You Will Have

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• Lead complex architecture discussions , designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
• Develop and declare an emerging technical specialization (archetype) , becoming a go-to resource for your team in that domain
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
• Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
• Strong coding proficiency in Python and SQL , you must demonstrate live coding, debugging, and solution-building skills
• Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
• Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
• Proven ability to lead architecture discussions with senior technical stakeholders , whiteboarding, design reviews, and trade-off analysis
• Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
• Track record of driving platform adoption and consumption growth within accounts
• Excellent communication skills , able to translate complex architectures into business value for both technical and executive audiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• Expertise in one of the following: Familiarity with healthcare data standards (HL7, FHIR, EDI/X12, ICD-10, CPT codes) and healthcare compliance frameworks. Experience working with or selling into pharmaceutical companies, biotech firms, CROs, or medical device companies
• Databricks certifications (Data Engineer, ML, Platform)
• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) , understanding the landscape you'll position against
• Background in a data/AI company or cloud provider
• Industry domain expertise

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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 CPG team and maximize the phenomenal market opportunity that exists for Databricks.

Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client as part of the CPG team.

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

Pay Range Transparency Databricks is committed to fair and equitable compensation practices.

The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Local Pay Range $272,000-$374,000 USD

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You will scale impact beyond your immediate team through other leaders, cross-functional initiatives, reusable practices, and strong customer and partner relationships.

This role typically leads Field Engineering professionals across a broader portfolio and may include responsibility for one or two managers.

Depending on the assignment, you may support a major segment, a multi-country portfolio, or an equivalent area of complexity.

The Impact You Will Have

• Lead, coach, and develop Field Engineering professionals and emerging people leaders across a broader portfolio.
• Set team strategy and roadmaps that connect customer needs, technical priorities, business outcomes, and broader Field Engineering goals.
• Increasingly influence the most important priorities for the portfolio and help teams see around corners over the next 3–6–12 months.
• Partner with Sales and cross-functional leadership to shape technical-win strategy, resource allocation, customer coverage, and execution plans.
• Build trusted relationships with senior customer stakeholders and use customer, market, and competitive insight to improve account and portfolio strategy.
• Establish repeatable inspection mechanisms across teams, including portfolio reviews, customer-health reviews, technical-risk reviews, and escalation processes.
• Coach leaders and senior practitioners through complex customer, technical, competitive, organisational, and performance situations.
• Build and share playbooks, tools, enablement, and operating mechanisms that increase productivity and consistency beyond one team.
• Influence Product, Engineering, Support, Professional Services, Marketing, and Partners on customer requirements, product gaps, and cross-functional priorities.
• Use AI and automation to create one-to-many impact across enablement, execution, forecasting, customer planning, and team productivity.
• Model and strengthen a culture of psychological safety, inclusion, accountability, continuous learning, and high performance.

What We Look For

• Significant experience leading technical customer-facing teams in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment.
• Proven ability to hire bar-raising talent, develop leaders, manage performance, and make thoughtful decisions about team structure, capability mix, and resourcing.
• Experience leading through other leaders or serving as a senior leader on a complex team.
• Strong strategic judgement: you can identify the highest-impact priorities, allocate resources, manage risk, and connect near-term execution to longer-term goals.
• A track record of building repeatable operating mechanisms, playbooks, tools, or programs that scale beyond your immediate team.
• Ability to influence senior internal partners across Sales, Professional Services, Solutions Architecture, Marketing, Partners, Product, Engineering, and Support.
• Strong customer-advisory capability, including the ability to guide senior stakeholders through complex technical and business decisions.
• Proficient understanding of data and AI technologies, cloud architecture, governance, security, networking, and enterprise adoption considerations.
• An AI-first, builder mindset with evidence of applying emerging tools or approaches to improve customer outcomes and organisational effectiveness.
• Demonstrated alignment with Databricks Culture Principles and the ability to translate them into clear expectations and daily team practices.

Basic Qualifications

• Experience managing technical customer-facing teams and/or other people leaders.
• Experience leading complex, multi-stakeholder customer engagements and cross-functional initiatives.
• Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain.
• Strong written, verbal, presentation, decision-making, and stakeholder-management skills.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Experience with Databricks or comparable data and AI platforms.
• Experience leading across multiple segments, geographies, countries, customer portfolios, or technical practices.
• Experience designing or improving Field Engineering, Solutions Architecture, technical sales, customer success, or similar operating models.
• Experience building partner ecosystems and cross-functional communities of practice.
• Experience using AI, automation, dashboards, or other mechanisms to improve organisational scale and repeatability.

Pay Range Transparency

The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.

Zone 1 Pay Range: $192,100-$264,175 USD Zone 2 Pay Range: $192,100-$264,100 USD Zone 3 Pay Range: $192,100-$264,100 USD Zone 4 Pay Range: $192,100-$264,100 USD

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You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy.

The Impact You Will Have

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• Lead complex architecture discussions , designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
• Develop and declare an emerging technical specialization , becoming a go-to resource for your team in that domain
• Orchestrate cross-functional resources to deliver comprehensive solutions for complex customer needs
• Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
• Strong coding proficiency in Python and SQL , live coding, debugging, and solution-building skills
• Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
• Proficient on the Databricks Platform with a developing technical specialization in one area
• Proven ability to lead architecture discussions with senior technical stakeholders
• Experience with production deployments on public cloud, including infrastructure, security, and governance considerations
• Track record of driving platform adoption and consumption growth within accounts
• Excellent communication skills , translating complex architectures into business value for technical and executive audiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline

Nice to Have:

• Databricks certifications
• Experience with competitive platforms
• Background in a data/AI company or cloud provider
• Industry domain expertise

Pay Range Transparency The pay range for this role is $180,000-$247,500 USD.

Benefits Comprehensive benefits and perks that meet the needs of all employees.

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Responsibilities:

• Work with multiple clients as the main technical voice for Databricks
• Lead customers on a transformational journey, evaluating and adopting Databricks as part of their strategy
• Implement technical strategies in accounts, building a movement of technical champions
• Align technical strategies around Databricks solutions
• Provide structured mentorship for other team members
• Gain peer respect through experience, insight, and contributions

Requirements:

• Solid background in value selling, technical account management, and technical leadership
• Experience with large global accounts (> $1m ARR)
• Proficiency in establishing virtual teams and leading them to success
• Relationships with executives and influencers
• Convincing point-of-view presentation skills for decision-makers
• Technical expertise in big data, data science, and cloud
• Production programming experience in Python, R, Scala, or Java
• Data-driven business transformation and change management skills

Nice to have: Databricks Certification

Pay Range: $219,100-$301,300 USD

Benefits: Comprehensive benefits and perks, including annual performance bonus, equity, and more

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You will cultivate, guide, and scale a dynamic organization focused on enterprise software, big data, healthcare interoperability (e.g., FHIR/HL7), clinical/claims analytics, real-world evidence (RWE), and medical AI/ML applications.

Leading this specialized pre-sales engine, you will partner closely with Sales leadership to drive consumption, maximize ARR, and help healthcare providers, payers, and pharmaceutical organizations achieve transformational business and patient outcomes.

The Impact You Will Have:

• Hire, train, and develop a high-performing tier of both individual contributors (IC) and frontline managers/leads within the Specialist Solutions Architecture organization.
• Maintain a robust, diverse hiring pipeline attuned to deep technical expertise, clinical data structures, and life sciences domain proficiency.
• Exceed regional sales and consumption targets by ensuring your management and SA teams rigorously qualify accounts, identify high-value genomic, clinical, or operational use cases, execute secure proof-of-concepts, and serve as trusted advisors across the customer lifecycle.
• Drive deep adoption of the Databricks Data Intelligence Platform, ensuring compliance frameworks (HIPAA, HITRUST, GxP) are properly mapped to outsized business and regulatory value.
• Establish strong matrixed relationships across Product Management, Engineering, Industry Solutions, and Sales to remove blockers and accelerate go-to-market velocity.

What We Look For:

• 5+ years of leadership experience directly managing technical pre-sales teams, with a proven track record of leading both high-level individual contributors (L6+) and frontline technical managers/pod leads.
• 5+ years of deep experience in the data and AI space with highly technical platforms (e.g., distributed computing, cloud data warehousing, MLOps, or generative AI infrastructure).
• Comprehensive understanding of the Healthcare and Life Sciences vertical, including hands-on familiarity with industry data models (OMOP, FHIR), regulatory constraints (HIPAA, GxP), and standard enterprise data integration/transformation patterns.
• Proven capability as a trusted strategic advisor to HLS technical executives (CTOs, CIOs, Chief Data Officers) guiding large-scale cloud infrastructure and AI roadmap decisions.
• Elite command of technical qualification methodologies, architecture design validation, structured proof-of-concept (POC) management, and value-selling frameworks.
• Demonstrated history of organizational scaling,successfully hiring complex profiles, accelerating onboarding cycles, coaching leaders, and managing progression pathways.
• Strong operational rigor around pipeline tracking, resource allocation, and building cross-functional alignment between Field Engineering, Sales, and Customer Success.

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Zone 2 Pay Range $219,600-$301,875 USD

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Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most 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.

The impact you will have:

• Work with 1-5 clients as the main technical voice for Databricks
• Lead customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• Implement the technical strategy in the account, with a close understanding of the strategy
• Build a movement of technical champions within the account
• Align technical strategies around Databricks solutions
• Provide structured mentorship for other team members

What we look for:

• 5+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space
• 3+ years working in a pre-sales capacity or supporting sales activity
• Technical in big data, data science, and cloud
• Ability in data-driven business transformation and driving change with data
• 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions
• Maintain and extend production data systems to evolve with complex customer needs
• Production programming experience in Python, R, Scala, or Java
• Nice to have: Databricks Certification

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