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Senior Software Engineer (Data Platform)

Databricks · Posted Sep 14

Data, analytics, machine learning, and generative AI intelligence platform services

Bengaluru, IndiaFull-timeOnsiteSenior Level6+ years₹60.0L–₹1.0Cr yearly100+ applicants
Data and AI Platform SoftwareCloud ComputingBig DataArtificial IntelligenceGrowth Stage
Full time

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About the role

The Data Platform team builds the Data Intelligence Platform for Databricks, automating decision-making across the entire company in collaboration with Product Teams, Data Science, and Applied AI. The team develops tools spanning logging, orchestration, data transformation, metric store, governance platforms, and data consumption layers, using the latest Databricks products and other tools in the data ecosystem. As a Senior Software Engineer, you will design and run the company-wide metrics store and data platform, build ETL frameworks and infrastructure tooling, and help shape the long-term direction of the Databricks product.

What you will do

  • 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. 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.
  • 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 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.
  • Represent Databricks at academic and industrial conferences & events.

Skills used in this role

DatabricksETLApache AirflowdbtApache KafkaRabbitMQCI/CDInfrastructure as CodeData PipelinesData SecurityOrchestrationAPIs

What the employer is looking for

  • 6+ years of industry experience
  • 4+ 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.

Benefits and support

  • 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 click here.

About Databricks

Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.

Industry
Data and AI Platform Software
Company size
17300+ employees
Founded
2013
Location
San Francisco, California, USA
Funding stage
Private Company

Funding

Private Company · $25.2B raised

CoatueAndreessen HorowitzInsight PartnersFidelity InvestmentsFranklin Templeton
  • 2026-08-13Series L$5.0B

Leadership

AG
Ali Ghodsi

Co-founder and Chief Executive Officer

MZ
Matei Zaharia

Co-founder and Chief Technology Officer

IS
Ion Stoica

Co-founder and Executive Chairman

DC
David Conte

Chief Financial Officer

RX
Reynold Xin

Co-founder and Chief Architect