CSQ227R41
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. As a Senior Technical Program Manager (TPM), you lead the charge in changing how people work with data. You will drive high-stakes, multi-workstream programs that have a material impact on customer success and scalability. Your technical expertise and strategic influence will be critical for guiding complex engagements to success and fostering a culture of continuous improvement. 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.
The Impact You Will Have
- Architecting Standards: You will install operating rigor (cadence, metrics, reviews) that doesn't just serve one project, but becomes a "gold standard" adopted by other TPMs across the region.
- Cross-Functional Synergy: You will lead high-visibility initiatives that require deep collaboration across Product, Engineering, and Marketing, resolving complex misalignments with M6-level Directors that threaten project velocity.
- Strategic Risk Leadership: You will manage the change management process for large-scale digital transformations, ensuring that customer organizations are culturally and technically ready to adopt the Lakehouse architecture.
- Knowledge Multiplication: You will contribute significantly to the Databricks community by documenting best practices and leading internal training sessions to level up the entire Professional Services organization.
What We Look For
- Experience: 8–12+ years leading large-scale technical programs.
- Technical Fluency: Advanced technical fluency; 2 Databricks Associate Certifications or 1 Professional-level Certification required within 6 months of hire.
- AI Strategy: Proven track record of leveraging AI-enabled tools to optimize large-scale program delivery and cross-functional synergy.
- Senior Leadership: Proven ability to engage, influence, and build trust with senior executive stakeholders (CxOs).
- Scope: Experience successfully managing projects with teams of up to 5 people and contract values in excess of $0.5M.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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.
Similar Jobs
.png)
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
