engineering
Posted 2 days agoStaff Software Engineer (Data Platform)
at Databricks
Bengaluru, IndiaOn-site
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.
- Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types.
- Design the base ETL framework used by all pipelines developed at the company.
- Build reliable data pipelines and solve data problems using Databricks, our partner’s products and other OSS tools. 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.
Requirements
- 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.
- 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.
- As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company.
- You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more.
- You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team also functions as a large, production, in-house customer that dog foods Databricks and guides the future direction of the product.
- You’ll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company.
- requirements for the Databricks product.
- experience building large scale distributed systems
- 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.
- Passion for data infrastructure and for enabling others by making their data easier to access. 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
- At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
- 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
Experience
- 12+ years of industry experience 4+ years of
Benefits
- Partner with our engineering teams to provide leadership in developing the long-term vision and
- benefits and perks that meet the needs of all of our employees. For specific details on the
Additional details
- Our engineering teams build technical products that fulfill real, important needs in the world.
- 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.
- This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure-as-code tooling.
- Represent Databricks at academic and industrial conferences & events. What we look for:
- 5+ providing technical leadership on large projects similar to the ones described above - ETL frameworks, metrics stores, infrastructure management, data security. •
- Experience building, shipping and operating reliable multi-geo data pipelines at scale. •
- Excellent cross-functional and communication skills, consensus builder.
- We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.