Senior Data (Platform) Engineer
Location: Hyderabad | Department: Technology, Data
About the Role
Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier? As a Senior Data Platform Engineer, you will be hands-on in building, operating, and improving our core data platform and AI/LLM enablement tooling.
You’ll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You’ll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems.
What You'll Do
Data Platform & Infrastructure
Build, deploy, and operate cloud infrastructure for data and AI workloads using Infrastructure as Code (Terraform).
Provision and manage cloud resources across development, staging, and production environments.
Develop and maintain CI/CD pipelines for data transformations, orchestration workflows, and platform services.
Operate and scale containerized workloads on Kubernetes, including Airflow, internal APIs,



and AI/LLM services.
Troubleshoot and resolve infrastructure, pipeline, and orchestration failures to ensure platform reliability.
Maintain and support existing ML services and pipelines to ensure stability and reliability (No expectation to design or develop current ML models or training pipelines).
Continuously monitor and optimize platform performance and cost.
Framework, Tooling and Enablement
Build and maintain reusable frameworks and patterns for dbt, Airflow, Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.), Internal data and AI APIs
Build and support infrastructure and pipelines for AI/LLM-based use cases, including orchestration, integration, and serving.
Improve developer experience for Analytics Engineering and Insights teams by reducing friction in local development, deployments, and production workflows.
Create and maintain technical documentation and examples

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