Staff Software Engineer (Data Platform)
Databricks
Bengaluru, IndiaPosted 1 month ago
Skill Required
Engineering - PipelineData EngineerPlatform EngineerSoftware EngineerSoftware DeveloperSystem DesignEngineeringDatabricksRabbitMQsecuritybuildingAirflowdesignKafkaCI/CDUnityCloudAPIsdbtETLCICDAI
Key highlights
- 12+ years of industry experience required.
- 4+ years building large‑scale distributed systems.
- 5+ years providing technical leadership on ETL frameworks, metrics stores, and infrastructure management.
- Experience building, shipping and operating reliable multi‑geo data pipelines at scale.
- Experience with workflow/orchestration tools such as Airflow and DBT.
- Experience with large‑scale messaging systems like Kafka or RabbitMQ.
Role overview
Databricks is seeking a Staff Software Engineer to help build the Data Intelligence Platform, enabling automation of decision‑making across the company. The role involves designing and operating large‑scale data infrastructure, collaborating with product, data science, and applied AI teams, and shaping the future direction of Databricks' platform.
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, balancing data protections and shareability as the company transitions to a public company.
- 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, and provide early feedback on the 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
- 12+ years of industry experience.
- 4+ years of experience building large scale distributed systems.
- 5+ years providing technical leadership on large projects similar to the ones described (ETL frameworks, metrics stores, infrastructure management, 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.
Benefits
- Comprehensive benefits and perks that meet the needs of all employees (specific details vary by region).
Additional details
- Job ID: P-1348.
- About Databricks: Databricks is the Data and AI company with more than 20,000 organizations worldwide, headquartered in San Francisco with 30+ offices globally, offering a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
- For detailed regional benefits information, click the provided link in the original posting.
- Databricks is committed to fostering a diverse and inclusive culture and follows equal employment opportunity standards.
- Compliance: If access to export‑controlled technology or source code is required, the employer may decide to apply for a U.S. government license or decline the applicant based on that requirement.