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GAQ225R31
At Databricks, we are passionate about helping data teams solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Databricks Information Technology (IT) is a product-led organization transforming how we work from how easy it is to use our IT services to the applications we develop that help us scale in the face of incredible growth. Databricks IT is looking for a Technical Program Manager to help build a strong practice of delivery and execution of projects to support the growth and scale the function globally as Databricks continues our hyper-growth. You will work closely with the product owners, leaders, and partners across lines of business to define and shape ideas for business transformation projects into actionable plans aligned with best practices and long-term goals. As the Program Manager focused on Data Engineering projects, you will be responsible for planning and coordinating with multiple groups to deliver notable business value to our customers through enterprise-class product releases and platform enhancement projects at a regular and frequent cadence.
The impact you will have:
- You will apply your experience with the software development lifecycle models, your knowledge of Agile and traditional project management principles/practices, and your experience and blend them in the proportions best suited to achieve results.
- You will build and coordinate all aspects of a program, including detailed project plans, resource allocations, risks/issues remediation, status reporting, and budget management, and serve as the primary “go-to” person for project details.
- You will maintain a deep, technical end-to-end understanding of the solution being built, its upstream/downstream dependencies and impacts, and the resulting customer journey experienced by our users.
- You will lead multiple concurrent programs varying in size, scope, and complexity, spanning several teams and organizations.
- You will create communications that can be consumed at different levels of the organization – from executive-level presentations to materials consumed by other teams.
- You will collaborate with Product Managers, Engineering leaders, Architects, Data Engineers, and Business stakeholders to deliver the important
- transformational programs in the IT applications team
- You will identify risks in all assigned areas and work with teams and management to mitigate these risks before they become issues
- You will understand, surface, and understand technical challenges partnering with the Engineering Managers to guide the option that delivers robust engineering solutions with the best customer experience
- You will pursue delivery excellence to ensure success and that all team members understand the goals and success criteria. Uphold a culture of focus, delivery, and accountability across the organization
What we look for:
- 8+ years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years of experience; or equivalent work experience.
- Hands-on experience with using project management tools such as JIRA, Spreadsheets, Confluence, and creating executive presentations
- Hands-on with writing effective SQLs and creating Ad Hoc reports on reporting tools such as Tableau for effective data-based project management.
- Good understanding of Data Engineering, Data Analytics, Cloud Environments, and general software engineering domains.
- Software development, testing/UAT program management experience with large-scale programs in a mature PMO
- Understanding cloud services, application hosting, operational practices, and technical planning.
- Experience modulating the presentation of information based on your audience: from a C-level executive to an Individual Contributor.
- Experience leading broad programs across organizations in a matrixed, globally diverse workforce.
- Experience using Agile/Scrum methodologies and an Agile certification - PMI-ACP, SAFe, or equivalent.
- Experience leading design and technical trade-off conversations to closure.
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.
Top Skills
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.
