Databricks Solution Architect

• Architect and implement enterprise data platforms using Databricks Lakehouse, Delta Lake, Unity Catalog, and Spark.
• Design scalable batch, streaming, CDC, and real-time data integration solutions across enterprise applications.
• Lead migration of legacy data warehouses, Hadoop ecosystems, and on-prem platforms to modern cloud architectures.
• Define data governance, security, lineage, metadata management, and compliance frameworks.
• Provide technical leadership, architecture governance, solution reviews, and mentoring for engineering teams.
• Partner with business stakeholders to build analytics, AI/ML, and GenAI-ready data ecosystems.

Generic Managerial Skills, If any:

• Ability to collaborate with an onsite-offshore model.
• Influence and guiding junior team members.

• Databricks: Lakehouse, Delta Lake, Unity Catalog, DLT, Databricks SQL, MLflow
• Big Data: Spark, PySpark, Scala, Kafka, Streaming Architectures
• Cloud: Azure Databricks, ADF, ADLS, Synapse, AWS S3, Glue, EMR, Redshift
• Data Warehousing: Snowflake, Data Vault, Star/Snowflake Schema, CDC
• Integration: REST APIs, Event-Driven Architecture, Enterprise SaaS/ERP/CRM integrations
• DevOps: Terraform, Azure DevOps, GitHub Actions, Jenkins, CI/CD
• Governance: Data Quality, Metadata Management, Security & Compliance

Preferred: Databricks, Azure, AWS, and TOGAF certifications with experience in BFSI, Capital Markets, Asset Management, or large enterprise environments.

Roles & Responsibilities

• We are seeking a Databricks Solution Architect with 15 years of experience in designing and delivering enterprise-scale data platforms, cloud modernization initiatives, and complex system integrations.
• The ideal candidate will lead architecture strategy, define scalable Lakehouse solutions, and collaborate with business, engineering, and enterprise stakeholders to enable data-driven transformation.