Director of Engineering - Databricks Commercialization & Marketplace
- Salary
- $249,000 - $350,000
- Level
- Lead
Not stated in the posting: work type, visa.
Open. First seen 5 November 2026.
About the role
Director of Engineering - Databricks Commercialization & Marketplace
P-1630
About the role
Every product Databricks ships has to be priced, contracted, rated and billed before it can earn a dollar. The Money organization builds the systems that make this happen, at hyperscaler scale and across every major cloud. We built the world's only cross-cloud integrated rating engine in-house, and it now rates billions of dollars in revenue. Our next goal is bigger: a fully automated, zero-touch order-to-cash flow where the platform is the source of truth for accounts, contracts and subscriptions, and Month End Close needs little or no human intervention.
As Director of Engineering, you will lead the engineering organization that owns this commercial engine from start to finish. You will set the product and technology strategy for how Databricks makes money. You will be the engineering voice Finance, Product and GTM leaders turn to for strategic decisions. You will also build the leadership bench that lets the organization keep scaling.
Speed is critical. Databricks keeps inventing new ways to sell: commit and pay-as-you-go, marketplaces, conditional benefits, strategic partnerships and new clouds and regions. The commerce engine either makes each of these fast and safe to launch, or it becomes the bottleneck. You will make sure it is the former.
What you'll own
The org covers six commercial domains:
- Pricing configuration: SKUs, multipliers, price-change processes, deal desk and discounting
- Orders and contracts: from negotiated quote to order to signed customer contract
- Subscriptions: commit, pay-as-you-go and proof-of-concept subscriptions, plus how contracts are tied to payment methods
- Rating: applying each customer's negotiated price, discounts and conditional benefits to ingested usage to compute the bill
- Billing: commit drawdown, invoicing, Month End Close and related financial processes
- Marketplace: third-party data and solutions, available seamlessly to Databricks customers
The impact you'll have
- Set and communicate the vision. Write the multi-year product and technology strategy for the commerce engine, toward a zero-touch order-to-cash flow and a next-generation billing architecture. Present it clearly to executives, Finance and Product leaders, so that strategy and architecture decisions come to you by default.
- Own business outcomes across orgs, not just your team's part. Revenue-critical programs routinely span 100+ people across Finance, Product, IT, Accounts and GTM. You will own the full outcome: dependency plans with clear owners, timelines, quality bars and escalation triggers, raised early in leadership forums so cross-org risks don't become executive surprises.
- Make commercialization a platform capability. Build reusable building blocks (credits, commits, conditional benefits, marketplace and partner billing) so that new pricing models and routes to market ship in weeks, not quarters.
- Treat foundations as seriously as features. Hold reliability, correctness, SOX and compliance readiness, security, cost visibility and operational load to the same standard as product launches. Billing errors should be structurally impossible, operational work should grow more slowly than revenue, and postmortems should actually lead to change.
- Partner deeply with Business & Finance. Turn accounting, close and compliance requirements into engineering design. Keep improving the Month End Close timeline and audit readiness, and earn the trust of Technical Accounting, Revenue Ops and Strategy & Execution leaders.
- Build a team of leaders. Grow the organization from one with a large group of direct-report engineers to one led by strong engineering managers and tech-lead managers, with clear subteams, domain boundaries and named owners. Coach managers to be great people leaders, give specific feedback and career plans, and recognize high-performing teams publicly.
- Hire like a founder. Act as the hiring owner for the Money Bellevue site. Source and close senior engineering and management talent, put the company first when placing hires across Money teams, and help raise the Databricks engineering hiring bar.
What we're looking for
- 12+ years in software engineering, including 6+ years leading engineering organizations and managing managers, ideally in billing, payments, commerce, fintech or other systems where errors directly cost revenue or create regulatory exposure
- A track record of delivering large, revenue-critical, cross-functional programs (for example, replacing a billing or rating system, migrating a source of truth, or automating order-to-cash) on time and with high quality
- Technical depth in distributed systems and large-scale data pipelines. You can discuss correctness, idempotency, reconciliation and data lineage with tech leads, and you know when to coach and when to decide.
- Fluency in order-to-cash and finance concepts: pricing and discounting, contracts, revenue recognition, invoicing, month-end close, SOX controls. You have earned trust as a partner to Finance and Accounting leaders.
- Strong product judgment: you can spot gaps in the commercial platform, shape requirements with Product, and make build-versus-buy decisions that pay off over time
- Clear, confident communication of strategy to executives, plus the ability to influence peers in Product, Finance, IT and GTM without direct authority
- Experience scaling an organization quickly while keeping a high hiring bar, developing strong leaders and engineers, and keeping them engaged on internal platform work
- BS in Computer Science or a related field; MS preferred. Experience with Kafka, Apache Spark, Delta Lake or cloud (AWS, Azure, GCP) is a plus.
Why this role
You will run the engine behind the revenue of one of the fastest-growing data and AI companies in the world. The problems involve hard distributed-systems correctness at scale, high financial and compliance stakes, and a direct, visible link to company growth. You'll lead an established, high-trust team with a strong delivery record and help shape what the next generation of the commerce engine looks like.
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. For more information regarding which range your location is in visit our page here.
Local Pay Range
$249,000—$350,000 USD
Databricks's standard text
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.
What this role asks for
Particular to this role
Delta Lake · Kafka
Rare in Databricks's other 299 open postings.
In most of Databricks's ads
Unity
Named in most of its open postings, whatever the role.
84% of this description is written for the role. The rest is Databricks's standard text, folded away below.
Compared with Databricks's other open jobs.
The team: Engineering HIRES STEADILY
This role is one of 46 open in Engineering. 2 were posted in the last 30 days and the oldest in June: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Databricks (46 of 46), Unity (46 of 46), Azure (22 of 46), AWS (17 of 46), GCP (16 of 46), LLM (12 of 46), Machine Learning (12 of 46)
OTHER ROLES ON THIS TEAM
- Senior Staff Software Engineer, AI Runtime posted Oct 22
- Sr. Manager, Engineering - AI/BI posted Oct 2
- Senior Software Engineer, Compute Infrastructure posted Sep 14
- Staff Software Engineer – Genie One Mobile & Desktop posted Sep 9
- Engineering Manager, App Traffic posted Sep 9
- Senior Engineering Manager for Self-Serve (Learning) posted Aug 21
- Engineering Manager, CustomerLake Profile Agents posted Aug 13
- Staff Software Engineer- Foundation Model Inference posted Jul 24
- Sr Software Engineer- CXI posted Jul 15
- Senior Software Engineer, AI Native Web Platform posted Jul 15
- Staff Software Engineer, AI Native Web Platform posted Jul 15
- Sr. Staff Software Engineer, Agentic Applications posted Jul 15
- Engineering Manager, Serverless Compute Platform posted Jun 22
- Staff Software Engineer, AI Runtime posted Jun 8
- Senior Software Engineer, AI Runtime posted Jun 8
- Staff Software Engineer, AI Search posted Jun 4
- Sr. Staff Software Engineer — Observability, Insights & Governance posted Jun 2
- Sr. Staff Software Engineer — Observability, Insights & Governance posted Jun 2
- Sr. Manager, Engineering Configuration Platform Team posted May 28
- Senior Staff Applied AI Engineer - Context Retrieval posted May 7
- Sr Staff Production Engineer- Public Sector posted Apr 22
- Staff Production Engineer- Public Sector posted Apr 22
- Staff Software Engineer- Public Sector posted Apr 21
- Sr. Engineering Manager - Agentic Service Platform posted Apr 20
- Staff Backend Software Engineer- (AI Platform) posted Mar 31
- Staff Backend Software Engineer- (Databricks AI) posted Mar 31
- Engineering Manager - Databricks SQL Control Plane posted Mar 20
- Staff Backend Software Engineer posted Mar 18
- Staff Software Engineer - Backend posted Jan 29
- Sr. Software Engineer- Backend posted Jan 16
- Sr. Staff Software Engineer - Money Team posted Nov 12
- Senior Software Engineer, Model Serving posted Oct 14
- Sr Software Engineer-Networking posted Oct 14
- Sr Software Engineer-Networking posted Oct 14
- Sr. Engineering Manager - Notebook Dataplane posted Sep 29
- Manager, Engineering - AI/BI posted Sep 19
- Senior Backend Software Engineer- (AI Platform) posted Jun 30
- Senior Engineering Manager for Workspace Platform posted Jun 12
- Sr. Manager, Engineering - Search posted Apr 15
- Senior Software Engineer - Partner Ecosystem posted Apr 3
- Senior Staff Software Engineer - App and Partner Ecosystem posted Mar 19
- Sr Designated Support Engineer posted Jan 30
- Senior Manager, Infrastructure Data Science posted Nov 18
- Senior Manager, Infrastructure Data Science posted Nov 18
- Senior Software Engineer - Backend posted Jun 1
From the team and dates on Databricks's own job board.
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