Databricks Data Architect

Location: Ahmedabad
Experience: 15+ Years
Employment: Full-time | On-site

Role Summary

We are looking for an experienced Databricks Data Architect to design and lead enterprise-scale data platforms using Databricks Lakehouse Architecture. The role involves architecture ownership, technical leadership, data modeling, performance optimization, and mentoring data engineering teams.

Key Responsibilities

● Design end-to-end Databricks Lakehouse architecture.
● Build scalable ETL/ELT pipelines using PySpark, Spark SQL, and Delta Lake.
● Implement Bronze/Silver/Gold data architectures.
● Manage Unity Catalog, governance, security, and data quality.
● Design dimensional models including Star Schema, Fact/Dimension, and SCD.
● Implement Databricks Workflows/Lakeflow and CI/CD.
● Design Metric Views and curated Gold datasets.
● Lead architecture reviews, code reviews, and technical decisions.
● Mentor data engineers and work with business/client stakeholders.

Must-Have Skills

● Databricks Lakehouse Architecture
● PySpark & Spark SQL
● Delta Lake & Unity Catalog
● Databricks SQL / Workflows / Lakeflow
● Dimensional Data Modeling & SCD
● Azure Databricks, ADLS Gen2 & ADF
● Python & SQL
● ETL/ELT & Data Pipelines
● Performance Optimization
● Git & CI/CD

Good to Have

● Data Warehouse Modernization
● Legacy EDW to Databricks Migration
● Medallion Architecture / Data Mesh
● Power BI / Tableau / Looker
● Data Governance & Metadata Management

Requirements

● 15+ years of overall IT experience
● Strong experience architecting enterprise Databricks/Lakehouse platforms
● Experience owning projects from architecture through delivery
● Strong communication, leadership, and stakeholder management skills
● Bachelor's/Master's degree in CS/IT or related field preferred