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
Solid communication, leadership, and stakeholder management skills
Bachelors/Masters degree in CS/IT or related field preferred

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Databricks Data Architect (Ahmedabad)
🏢 Acute InfoSoft
📍 Ahmedabad