DATABRICKS ARCHITECT WITH AI

Experience: 15+ Years

Location: Ahmedabad

Work Mode: On-site

Employment Type: FTE / Contract

Contract Duration: 1 Year

Contract Budget: ₹2.2 LPM

Role Overview

We are looking for an experienced Databricks Data Architect to lead the design and implementation of enterprise-scale data platforms using Databricks Lakehouse Architecture.

Key Responsibilities

- Design and implement enterprise-scale data platforms using Databricks Lakehouse Architecture.
- Define end-to-end data architecture covering ingestion, transformation, storage, governance, and consumption.
- Establish architecture standards, coding guidelines, reusable design patterns, and best practices.
- Lead technical decisions related to scalability, performance, reliability, and security.
- Design and build scalable ETL/ELT pipelines using PySpark on Databricks.
- Architect Bronze, Silver, and Gold data transformation frameworks.
- Design and manage Delta Lake storage architecture.
- Implement Databricks Workflows / Lakeflow pipelines.
- Define data quality, validation, reconciliation, and monitoring frameworks.
- Oversee CI/CD and DevOps practices.
- Design enterprise data models using dimensional modeling techniques.
- Develop Star Schemas, Fact Tables, Dimension Tables, and conformed dimensions.
- Define business metrics, KPI layers, semantic models, and curated Gold datasets.
- Provide technical leadership and mentorship to data engineers and developers.
- Conduct architecture and code reviews.
- Troubleshoot complex technical issues and guide teams in solution design.
- Support solution proposals, estimation,



technical governance, and architectural roadmap activities.

Mandatory Skills
- Data Architecture

- Databricks Lakehouse Architecture

- Databricks Workflows / Lakeflow

- Delta Lake

- Unity Catalog

- Databricks SQL

- PySpark

- Spark SQL

- Python

- SQL

- ETL / ELT

- Dimensional Data Modeling

- Star Schema
- Fact & Dimension Modeling

- Slowly Changing Dimensions (SCD)

- Metric Views

- Git and CI/CD

- Performance Optimization

- Data Quality Frameworks

- Batch and Incremental Processing

Cloud & Integration
- Azure Databricks

- ADLS Gen2

- Azure Data Factory
- Event-based and batch ingestion

- Data governance

- Metadata management

- Data security

Good to Have
- Data warehouse modernization
- Legacy EDW migration to Databricks

- Data Mesh

- Medallion Architecture
- Power BI, Tableau, or Looker

- Data cataloging and governance

Candidate Profile
- 15+ years of relevant experience in data architecture and enterprise data platforms.
- Strong hands-on experience with Databricks and modern data engineering.
- Experience designing scalable and high-performance data platforms.
- Robust expertise in data modeling, Lakehouse architecture, and cloud data solutions.
- Ability to define target-state architecture and technical roadmaps.
- Experience reviewing technical designs and code.
- Strong communication and stakeholder management skills.
- Strong leadership and mentoring capabilities.

Mandatory Skills: Data Architecture, Databricks Pay: Up to ₹200,000.00 per month

Work Location: In person

📌 DATABRICKS ARCHITECT WITH AI (Ahmedabad)
🏢 ClusterNeuron
📍 Ahmedabad