Senior Databricks Platform Engineer
Wipro · Hyderabad · onsite · Posted today
About a minute. You'll make an account on the way through.
About this role
Role & responsibilities
About the Role
Highly skilled Senior Databricks Platform Engineer to help build and scale a next-generation data platform supporting analytics, AI, governance, and self-service data consumption. The role focuses on engineering reusable platform capabilities, enabling enterprise-scale governance, improving observability, and driving operational excellence across the Databricks ecosystem.
Key Responsibilities
- Design and develop scalable data pipelines using Databricks, PySpark, SQL, and Delta Lake.
- Build CDC, batch, and streaming ingestion frameworks for enterprise-scale workloads.
- Implement and manage Medallion Architecture (Bronze, Silver, Gold).
- Develop governance solutions using Unity Catalog, including row-level security, data masking, and fine-grained access controls.
- Build and maintain Data Quality, Monitoring, and Observability frameworks.
- Implement CI/CD pipelines using Databricks Asset Bundles (DABS), Git, and Infrastructure as Code.
- Optimize Databricks clusters, SQL Warehouses, and workloads for performance and cost efficiency.
- Enable self-service analytics through semantic layers, metric views, governed datasets, and certified data products.
- Partner with platform, security, analytics, and business teams to drive adoption of Databricks capabilities.
- Participate in architecture discussions, platform modernization initiatives, and stakeholder workshops.
Required Skills
Databricks & Lakehouse
- Databricks Lakehouse Platform
- Delta Lake
- Unity Catalog
- Databricks Workflows
- Auto Loader
- Structured Streaming
- Databricks SQL
Data Engineering
- PySpark
- Advanced SQL
- Data Modeling
- ETL/ELT Frameworks
- CDC Architectures
- Real-Time Data Processing
Governance & Quality
- Row-Level Security
- Data Masking
- Data Lineage
- Data Quality Frameworks
Cloud & DevOps
- AWS/ GCP / Azure
- Git , CI/CD
- Terraform (nice to have)
Preferred Skills (These are not a must, nice to have)
- Scala
- dbt
- Kafka
- Airflow
- GenAI / AI Agents
- Enterprise Observability Solutions
Sourced from naukri
Skills
About Wipro

Wipro
IT Services & Consulting
233.3k+
employees
1945
81 years old
Bangalore/Bengaluru, Karnataka
India
About
Industries
Employee ratings
65,068 reviews
Culture
3.6
Career growth
2.9
Work-life
3.6
Employees rate it well for
Find them on