Asks for

The ad says“Experience building AI applications on modern data and AI platforms (RAG patterns, agent architectures, etc.)”
The ad says“Deep hands-on knowledge of modern data and AI platforms, and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, or operational databases)”
The ad says“Familiarity with the data and AI ecosystem: Lakehouse architecture, Delta Lake, vector databases, AI/ML serving patterns”
The ad says“Deep hands-on knowledge of modern data and AI platforms, and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, or operational databases)”
The ad says“8+ years in solutions architecture, technical pre-sales, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure”
The ad says“8+ years in solutions architecture, technical pre-sales, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure”
The ad says“Deep hands-on knowledge of modern data and AI platforms, and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, or operational databases)”
The ad says“Deep hands-on knowledge of modern data and AI platforms, and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, or operational databases)”
The ad says“Familiarity with the data and AI ecosystem: Lakehouse architecture, Delta Lake, vector databases, AI/ML serving patterns”
The ad says“8+ years in solutions architecture, technical pre-sales, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure”
The ad says“Familiarity with the data and AI ecosystem: Lakehouse architecture, Delta Lake, vector databases, AI/ML serving patterns”
The ad says“Deep hands-on knowledge of modern data and AI platforms, and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, or operational databases)”
The ad says“Experience building AI applications on modern data and AI platforms (RAG patterns, agent architectures, etc.)”
The ad says“8+ years in solutions architecture, technical pre-sales, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure”
The ad says“Strong stakeholder management skills: you can partner with BU VPs, FE leadership, and cross-functional peers as a trusted advisor, not just a program executor”
The ad says“8+ years in solutions architecture, technical pre-sales, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure”
The ad says“8+ years in solutions architecture, technical pre-sales, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure”
The ad says“Familiarity with the data and AI ecosystem: Lakehouse architecture, Delta Lake, vector databases, AI/ML serving patterns”

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The Impact You Will Have

Databricks' Field Engineering organization is growing rapidly across the Americas (AMER), and our FE teams need enablement that meets them where they are: regionally relevant, technically deep, and aligned to how their Business Unit (BU) sells. This is a regional enablement role embedded in the AMER Enablement team. You will own the end-to-end FE enablement strategy for your AMER business unit, ensuring every Field Engineer (FE) in your segment can confidently qualify, position, demo, and defend Databricks in competitive situations. You will be the connective tissue between Global FE Enablement programs and the regional field, translating global content into regionally actionable assets, representing the field-readiness voice in BU leadership forums, and ensuring that when an FE walks into a customer meeting, they are prepared to win.

You won't just run programs. You'll shape how enablement lands for hundreds of field engineers across your BU, working directly with Tech GMs and FE Senior Executives, Global FE Enablement, and cross-functional enablement peers (Sales, Customer, Partner) to drive measurable field readiness. This is an individual-contributor role: you lead through influence, SME communities, and the assets you build, not through direct reports.

What You'll Do

Own the regional FE enablement strategy for your AMER business unit, from foundational onboarding through advanced technical specialization and competitive positioning
Execute and regionalize global FE programs: take global enablement content (technical foundations, product launches, certifications, specializations) and adapt it for your BU's specific sales motion, customer base, and competitive landscape
Support product launch readiness for the field: ensure FEs in your BU are prepared for new product launches with regionally relevant talk tracks, demo environments, hands-on labs, and competitive positioning before GA
Build and ship enablement at scale using AI: use AI content pipelines, vibe coding, and automation to generate first-draft technical deep dives, competitive talk tracks, hands-on labs, and demo environments, then curate for accuracy and field impact
Drive a 'builder-first' FE culture by ensuring every program delivers to the team pillars of end to end ownership, emphasis and skill in showing-not-telling, and AI productivity for field engineers.
Own the BU stakeholder relationship: partner directly with your BU VP and FE leadership to align enablement priorities to BU strategy, surface enablement gaps, and report on field readiness in monthly and quarterly business reviews
Establish a two-way feedback loop with Global: systematically capture both what's breaking (field friction, lost deals, FE objections) and what's outperforming (programs, plays, and assets that win in your BU), channeling the former back as actionable recommendations and the latter as proposals for new global programs, so regional wins become the global standard, not one-off local successes
Work toward globally aligned goals: ensure your regional strategy, metrics, and programs ladder up to global enablement goals and standards, so AMER advances the global agenda rather than optimizing locally
Champion SME communities within your BU: identify, activate, and support subject matter experts who can scale technical knowledge peer-to-peer across the region
Create scalable, multi-format enablement: deep dives, AI role-plays, hands-on labs, workshops, and self-paced learning paths, always with a bias toward assets FEs can use in a customer conversation immediately
Build AI-powered tools that make the field smarter: agents for instant answers, AI role-plays for pitch practice, automated competitive briefs from real-time market signals
Define and track KPIs that measure field readiness: technical specialization completion, certification rates, workshop effectiveness, and whether FEs are actually winning more deals
Stay a practitioner yourself: spend ~10–15% of your time in customer-centric moments (AI role-play and live coaching, account reviews) because what you build is sharper when you've connected the position to a customer
Coordinate cross-pillar: work with Sales Enablement, Customer Enablement, and Partner Enablement peers to ensure FE programs are integrated into the broader BU enablement motion, not siloed

What We Look For

8+ years in solutions architecture, technical pre-sales, or technical enablement, with direct experience in data and AI platforms, distributed systems, or cloud data infrastructure
You've been the engineer in the room: you know what it feels like to run a POC, handle objections live, and defend a technical position against a competitor. That lived experience is what makes your enablement credible
Deep hands-on knowledge of modern data and AI platforms, and depth in one or more Databricks product domains (Data Warehousing, Data Engineering, AI/ML, BI, or operational databases)
Builder mentality: you default to building tools, demos, and automations, not decks. You use AI tools as a daily force multiplier, not a novelty
Proven use of AI to build at scale: you've automated content creation, built internal tools, and shipped demos and enablement assets faster than traditional methods allow
Demonstrated ability to execute enablement programs at regional scale: you know how to take a global program and make it land for a specific audience with specific needs, not just forward a slide deck
Strong stakeholder management skills: you can partner with BU VPs, FE leadership, and cross-functional peers as a trusted advisor, not just a program executor
Experience building and leading technical communities: SME networks, peer learning cohorts, or centers of excellence that scale knowledge beyond 1:1 delivery
Scaling mindset: everything you build needs to work for a regional field team of hundreds, not a 20-person workshop. You think about leverage and automation before you think about live delivery
Exceptional communication skills: you can make complex technical concepts accessible to a broad technical audience and translate BU strategy into enablement priorities
Familiarity with the data and AI ecosystem: Lakehouse architecture, Delta Lake, vector databases, AI/ML serving patterns

Nice to Have

Experience at a high-growth infrastructure company during a major product launch
Background in both pre-sales and post-sales technical roles: you've lived the full customer lifecycle
Hands-on experience with Databricks or competitive platforms
Experience building AI applications on modern data and AI platforms (RAG patterns, agent architectures, etc.)
Prior experience in a regional or BU-aligned enablement role within a matrixed organization

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 base 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 anticipated 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. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$171,400—$235,750 USD

Zone 2 Pay Range

$154,300—$212,200 USD

Zone 3 Pay Range

$145,800—$200,400 USD

Zone 4 Pay Range

$137,100—$188,550 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.