Job Summary
Role: Data Architect
Experience:12–18Years
Location: Data Architect
Domain: Insurance
We are looking for an experienced Data Architect specializing in Data Lakes, BI, Databricks, and Big Query designs and governs scalable cloud data platforms, builds robust ETL/ELT pipelines, defines enterprise data models, and enforces governance using tools like Delta Lake, Unity Catalog, and Big Query while enabling analytics and BI solutions such as Power BI, Tableau, and Looker.
Key Responsibilities
Architect end-to-end data platforms including data lakes, warehouses, and lake houses. Define conceptual, logical, and physical data models and canonical definitions. Select and optimize cloud data platforms (Databricks, Big Query, Snowflake, Azure/AWS/GCP). Design Lakehouse architectures leveraging Delta Lake and Apache Spark. Build scalable ETL/ELT pipelines using Databricks (Delta Lake, Auto Loader, DLT). Implement ingestion patterns for batch, micro-batch, and streaming workloads. Optimize Spark jobs, Databricks SQL workloads, and Big Query queries. Implement data governance frameworks: lineage, cat
Skill Requirements
Required Skills & Experience
Typically, 8–18 years of experience in data architecture or engineering roles
Technical Skills
- Strong expertise in Databricks (Delta Lake, Spark, Unity Catalog).
- Hands-on experience with Google BigQuery and cloud-native data services.
- Proficiency in Python, PySpark, SQL.
- Experience with ETL/ELT tools (dbt, Airflow, Dataflow, Glue).
- Knowledge of BI tools (Power BI, Tableau, Looker).