Full-Time
Senior Field Engineering Manager
Databricks
10,001+ employees
Data lakehouse platform for analytics
No salary listed
Washington, DC, USA + 5 more
More locations: San Francisco, CA, USA | Connecticut, USA | Chicago, IL, USA | New York, NY, USA | New Jersey, USA
Hybrid
Remote roles are limited to New York and Washington, D.C.; other listed locations are on-site.
 Solution Engineering (1) |
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- Proven experience building and leading technical pre-sales teams, including hiring, onboarding, coaching, and mentoring those teams to mature and grow into highly capable individual operators and exceptional team players.
- At least 10 years of experience in the data space with a technical product, such as data warehousing, big data, machine learning, or generative artificial intelligence.
- Ability to serve as a trusted advisor to technical executives guiding strategic data infrastructure decisions.
- Experience leading a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
- Experience establishing and fostering external partnerships with systems integrators and independent software vendors to maximize and accelerate client success.
- Strong understanding of consumption-driven business models and the strategies for long-term growth and success.
- Experience hiring candidates who continually raise the bar, ramping them up for success, and promoting them into larger roles.
- Ability to create a positive team culture and morale while fostering strong working relationships among Field Engineering, Sales, and other internal cross-functional teams.
- Experience working cross-functionally with Sales, Product Management, Engineering, and Customer Success.
- Technical expertise sufficient to earn the trust of Engineering talent and leadership at Databricks.
- Ability to influence and review complex architectures and guide teams and customers toward scalable solutions.
- Lead and promote a diverse team focused on enterprise software, big data and analytics, data engineering, data science, data warehousing, and generative artificial intelligence.
- Partner with Sales and other Field Engineering technical segments to increase revenue and help customers achieve success through the Databricks Data Intelligence Platform.
- Scale and maintain an outstanding Field Engineering team with efficient operations to accelerate Databricks' growth in the market.
- Hire, train, and grow a team of Solutions Architects.
- Make customers successful with Databricks and provide substantial business value.
- Maintain a robust hiring pipeline of highly qualified candidates.
- Establish relationships across the business to make customers and the team successful.
- Ensure that the team of Solutions Architects maintains advanced knowledge of the Databricks technology stack.
- Ensure that the team continuously learns and provides comprehensive solutions for customer needs.
- Engage strategically with customers at the executive level to drive mutually beneficial outcomes.
- Set go-to-market strategy and drive execution toward meeting sales targets.
Databricks provides a unified data and AI platform built around a lakehouse architecture that blends data lakes and data warehouses. It helps organizations ingest, store, manage, and analyze data from various sources, then apply analytics and machine learning at scale. The platform offers automated ETL, secure data sharing, and high-performance analytics, with built-in support for AI workloads and model deployment. Unlike traditional single-purpose data stores, Databricks combines data engineering, data science, and business analytics in one system, aiming to streamline data workflows and make insights readily actionable. Its goal is to enable businesses to manage data more efficiently, accelerate insight generation, and deploy AI and analytics across diverse teams through a subscription-based platform and professional services.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
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Simplify's Take
What believers are saying
- Databricks closed $5 billion at a $190 billion valuation in August 2026.
- Lakehouse revenue hit a $1.5 billion run rate, growing 100% year over year.
- Asia Pacific hiring accelerated after AWS veteran Briscoe joined to lead partners.
What critics are saying
- Judge Breyer kept Databricks' DBRX copyright case alive in April 2026.
- Snowflake and hyperscalers keep compressing Databricks' pricing power in lakehouse workloads.
- If authors win on Books3, enterprise AI customers will scrutinize Databricks' training data.
What makes Databricks unique
- Databricks crossed $7 billion ARR in Q2 2026, proving enterprise-scale demand.
- Lakehouse plus Unity Catalog unifies analytics, governance, and AI across major clouds.
- Lakebase, Genie, and Unity AI Gateway extend Databricks from analytics into applications.
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Benefits
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↑ 0%2 year growth
↓ -2%ASX-listed AI Private Opportunities Trust has acquired a position in Databricks, allocating approximately 8% of its portfolio to the US data and AI company. San Francisco-based Databricks raised $5 billion in August 2024 at a $190 billion valuation. The platform serves over 70% of Fortune 500 companies and more than 20,000 organisations worldwide. Databricks crossed a $7 billion revenue run rate in its most recent quarter, growing over 80% year-on-year whilst maintaining positive free cash flow. This investment follows AIX's deployment of over one-third of its portfolio across positions including ByteDance, Helsing, and Handshake. The trust aims to provide Australian investors access to private AI market leaders typically limited to institutional investors. GCM Grosvenor manages the trust's investments and is in advanced discussions to close several additional positions.
Closes $5 billion strategic funding at a $190 billion valuation, led by Coatue, along with Blackstone, MGX, T.
The deal gives developers a way to keep AI agents working locally in sync with central data, cutting latency in sandboxed apps.
Electric is now part of Databricks. We're joining Neon to make Lakebase the best platform for building apps and agents. Everything we've open sourced stays open source.
Databricks has appointed former Amazon Web Services executive Briscoe to lead its Asia Pacific & Japan partner organisation. She previously headed AWS's partner operations in the region and held similar roles at Microsoft and Cisco. The move supports Databricks' regional expansion. In April, the company named Simon Davies as regional leader and reported over 85% year-on-year growth in its fourth quarter. It now has more than 1,500 employees across Asia Pacific & Japan and plans to establish headquarters in Singapore. Databricks works with over 1,000 partners regionally and 8,000 globally through its Brickbuilder Partner Network. The company's AWS business has surpassed a $1 billion run rate. International Data Corporation forecasts Asia/Pacific AI spending will reach $175 billion by 2028.