# Senior Software Engineer

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Bengaluru, India
**Role:** Data Engineering
**Experience:** 6+ years
**Skills:** Databricks, ETL, Data Pipelines, Metrics Stores, Apache Airflow, dbt, Kafka, RabbitMQ, CI/CD, Infrastructure As Code, Data Quality, Data Governance, Multi-Cloud, Python, Data Security
**Posted:** 2026-08-11

> Build and operate Databricks’ company-wide Data Intelligence Platform, including metrics stores, ETL frameworks, orchestration, governance, and reliable multi-cloud data pipelines. The role requires 6+ years of industry experience and technical leadership on large-scale data infrastructure projects.

## Job Description

## Responsibilities
- Design and operate the metrics store, enabling business units and engineering teams to share and aggregate detailed metrics with high quality, introspection, and query performance.
- Design and operate a cross-company Data Intelligence Platform containing business and product metrics, balancing data protection with ease of sharing.
- Develop tooling and infrastructure to manage and operate Databricks at scale across multiple clouds, geographies, and deployment types.
- Build CI/CD processes, pipeline test frameworks, data-quality tooling, and infrastructure-as-code tooling.
- Design the base ETL framework used by company data pipelines.
- Partner with engineering teams to define the long-term vision and requirements for the Databricks product.
- Build reliable data pipelines and solve data problems using Databricks, partner products, and open-source tools.
- Provide feedback on the design and operation of data products.
- Establish conventions and create APIs for telemetry, debugging, feature, and audit-event data.
- Represent Databricks at academic and industry conferences and events.

## Requirements
- 6+ years of industry experience.
- 4+ years providing technical leadership on large projects involving ETL frameworks, metrics stores, infrastructure management, or data security.
- Experience building, shipping, and operating reliable, multi-geography data pipelines at scale.
- Experience operating workflow or orchestration frameworks, including Airflow, dbt, or commercial enterprise tools.
- Experience with large-scale messaging systems such as Kafka, RabbitMQ, or commercial systems.
- Excellent cross-functional communication and consensus-building skills.
- Passion for data infrastructure and enabling others to access data more easily.

## Benefits
- Comprehensive benefits and perks tailored to employees' regional needs.

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