Staff Technical Program Manager, Streaming Engineering at Databricks Canada ULC

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Feb, 26

Salary

263600.0

Posted On

15 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Program Management, Data Streaming Technologies, Cloud Infrastructure, Distributed Systems, Project Management, Risk Management, Communication, Automation, Engineering Processes, SQL, DevOps, Incident Management, Root Cause Analysis, Cloud-Native Infrastructure, Dashboard-Building Tools

Industry

Software Development

Description

P-1489 At Databricks, we are passionate about enabling Data and AI teams to solve the world's toughest 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Technical Program Management is an integral part of the Databricks engineering organization and acts as the connective tissue between the various cross-functional teams in the company. In addition to defining and managing repeatable processes to drive execution velocity, TPMs at Databricks are also expected to drive teams through ambiguity, identify risks, manage constraints, find solutions, remove blockers and launch products. As a TPM, you will be instrumental in driving strategic, high-impact initiatives for our core Streaming Engineering teams. As Databricks continues to innovate in real-time data processing, you will be responsible for managing complex, cross-functional programs that build and scale the streaming infrastructure powering the Databricks platform. You'll be at the heart of projects that enhance our streaming capabilities, ensuring our customers can process massive volumes of real-time data with high reliability and low latency. This role requires deep collaboration with engineering, product management, and customer-facing teams to deliver mission-critical features. This role will report into the R&D Operations team, which is part of the engineering org. The impact you will have: Drive execution of complex, technical projects for our core data streaming services, directly impacting product capabilities and customer success. Collaborate closely with engineering teams to define project scopes, manage timelines, and ensure engineering excellence in terms of scalability, reliability, and performance for our real-time systems. Work across the entire Databricks infrastructure and multi-cloud environment to deliver robust and integrated solutions. Strategically automate and improve day-to-day operations and engineering processes. Establish and drive repeatable processes for project execution, risk management, and communication, ensuring clarity and alignment across all stakeholders. What we look for: 7+ years of technical program management experience in an enterprise software environment. Bachelor's degree in a related field (e.g., Computer Science, Computer Engineering, Software Engineering). Deep technical understanding of large-scale distributed systems, cloud infrastructure (AWS/Azure/GCP), and data processing. Specific experience with data streaming technologies (e.g., Kafka, Flink, Spark Structured Streaming) is a big plus. Proven experience in program management, process definition and improvement, and influencing the adoption of defined processes across multiple teams. Ability to facilitate technical conversations to prioritize, manage tradeoffs, identify gaps and risks, drive accountability, and measure success. Comfortable handling conflicts and escalations with a solutions-oriented mindset. Experience in project/sprint planning, execution driving, risk management, and effective communication to both technical and business stakeholders. Experience operating autonomously across multiple teams and organizations in a fast-paced environment. Experience with at least one major cloud provider: AWS, Azure, or GCP Preferred Qualifications: Master's or advanced technical degree. Hands-on experience as a user of data platforms like Databricks, Snowflake, or other similar data engineering solutions. Experience with SRE/DevOps practices, including incident management, root cause analysis (RCA), and building for operational excellence. Experience building cloud-native infrastructure and applications. Knowledge of SQL and experience with dashboard-building tools. Pay Range Transparency Databricks is committed to fair compensation practices. The pay range(s) for this role is listed below and represents 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 uses 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 about which range your location is in visit our page here. 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 $171,900—$263,600 USD 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.

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Responsibilities

Drive execution of complex, technical projects for core data streaming services, impacting product capabilities and customer success. Collaborate with engineering teams to define project scopes, manage timelines, and ensure engineering excellence for real-time systems.