About the role

Databricks Solution Architect

Experience: 10–15+ Years
Location: Bangalore / Hyderabad / Pune / Noida / Gurgaon
Employment: Full-time

Job Summary

We are looking for an experienced Databricks Solution Architect to design and lead scalable, secure, and high-performance data platforms using Databricks, Azure/AWS, Spark, Delta Lake, and modern data engineering technologies . The candidate will work closely with business and technical stakeholders to define architecture, solution design, data strategy, and implementation roadmaps.

Key Responsibilities

Design end-to-end Databricks Lakehouse architecture for enterprise data platforms.
Define scalable solutions using Databricks, Delta Lake, Unity Catalog, Delta Live Tables (DLT) and Workflows.
Architect batch and real-time data pipelines using Apache Spark / PySpark .
Design data ingestion and integration solutions across multiple sources.
Define data modeling, data governance, security, lineage, and access-control strategies.
Work with Azure/AWS/GCP cloud services and integrate Databricks with cloud-native data platforms.
Design and optimize data migration solutions from legacy platforms to Databricks.
Provide technical leadership to Data Engineers and development teams.
Drive performance optimization, cost optimization, scalability, and reliability.
Collaborate with stakeholders to translate business requirements into technical architecture.
Prepare HLD/LLD, architecture diagrams, technical proposals, and solution documentation .
Evaluate emerging Databricks capabilities and recommend appropriate technologies.

Mandatory Skills

Databricks
Apache Spark / PySpark
Delta Lake
Unity Catalog
Data Lakehouse Architecture
SQL
Data Modeling
ETL/ELT
Strong experience in Azure / AWS / GCP
Experience designing enterprise-scale data platforms
Strong understanding of data governance, security and performance optimization

Good to Have

Databricks DLT / Lakeflow
Databricks Workflows
Azure Data Factory / AWS Glue
Azure Data Lake / Amazon S3
Snowflake
Kafka / Event Streaming
Terraform / CI-CD / DevOps
dbt
MLOps / MLflow
Experience with GenAI / RAG / AI data platforms

Ideal Candidate Profile

The ideal candidate should be a hands-on Data/Databricks Architect with strong experience in enterprise data architecture, cloud migration, Lakehouse implementation, stakeholder management, and technical leadership. Experience leading large-scale Databricks transformation/migration programs will be highly preferred.