Job highlights

- 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

- 12+ years of industry experience

- 6+ years of experience providing technical leadership on large projects similar to the ones described above ETL frameworks,metrics stores,infrastructure management,data security

P-1348

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

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 The Impact You Will Have





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

Youll 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

Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale, across multiple clouds, geographies and deployment types

This includes 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 our 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, our partners 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

Represent Databricks at academic and industrial conferences & events

What We Look For

12+ years of industry experience

6+ years of experience 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





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

About Databricks

Databricks is the data and AI company

More than 10,000 organizations worldwide ? including Comcast, CondNast, 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 advantages 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

📌 Staff Software Engineer Data Platform (Bengaluru)
🏢 Databricks
📍 Bengaluru