Senior Software Engineer (Data Platform)
Databricks
Bengaluru, IndiaPosted 29 days ago
Skill Required
Engineering - PipelineData EngineerPlatform EngineerSoftware EngineerSoftware DeveloperEngineeringDatabricksRabbitMQsecuritybuildingAirflowdesignKafkaCI/CDUnityCloudAPIsdbtETLCICDAI
Key highlights
- 6+ years industry experience
- 4+ years technical leadership
- Experience with Airflow or DBT
- Experience with Kafka or RabbitMQ
- Used by 70% of Fortune 500 companies
- Comprehensive benefits and perks
Role overview
Senior Software Engineer on the Data Platform team at Databricks will design and operate the Data Intelligence Platform, metrics store, and large‑scale ETL frameworks, collaborating with product and data teams to deliver reliable, scalable data pipelines and infrastructure while representing Databricks at conferences.
Responsibilities
- Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation, with high quality, introspection ability and query performance.
- Design and run the cross‑company Data Intelligence Platform, which contains every business and product metric used to run Databricks, ensuring appropriate data protections and shareability.
- Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale across multiple clouds, geographies and deployment types, including CI/CD processes, test frameworks for pipelines and data quality, and infrastructure‑as‑code tooling.
- Design the base ETL framework used by all pipelines developed at the company.
- Partner with engineering teams to provide leadership in developing the long‑term vision and requirements for the Databricks product.
- Build reliable data pipelines and solve data problems using Databricks, partner products and other OSS tools; provide early feedback on design and operations of these products.
- Establish conventions and create new APIs for telemetry, debug, feature and audit event log data, and evolve them as the product and underlying services change.
- Represent Databricks at academic and industrial conferences & events.
Requirements
- 6+ years of industry experience
- 4+ years of experience providing technical leadership on large projects similar to ETL frameworks, metrics stores, infrastructure management, and data security
- Experience building, shipping and operating reliable multi‑geo data pipelines at scale
- Experience working with and operating workflow or orchestration frameworks, including open source tools like Airflow and DBT or commercial enterprise tools
- Experience with large‑scale messaging systems like Kafka or RabbitMQ or commercial systems
- Excellent cross‑functional and communication skills, consensus builder
- Passion for data infrastructure and for enabling others by making their data easier to access
Additional details
- At Databricks, we are passionate about enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development.
- We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.
- Our engineering teams build technical products that fulfill real, important needs in the world.
- We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform.
- We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day.
- At our scale, we observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.
- 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.
- 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.
- 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.
- Databricks is the Data and AI company.
- 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.
- BenefitsAt 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.