Key Skills & Expertise
Mandatory Certification: Databricks Certified Data Engineer Professional or Databricks Certified Data Engineer Associate with proven Databricks architecture experience. Those have certification done only apply.
Expertise in Databricks Lakehouse Platform, Delta Lake, Unity Catalog, Databricks SQL, Workflows, and Lakeflow/Delta Live Tables.
Strong hands-on experience in PySpark, Apache Spark, Python, and Advanced SQL.
Architecture and implementation of enterprise-scale data lakes, lakehouses, and contemporary data platforms.
Experience designing batch, streaming, CDC, and real-time data processing solutions.
Strong understanding of data modeling, Medallion Architecture (Bronze/Silver/Gold), ETL/ELT frameworks, and DataOps.
Expertise in data governance, security, lineage, and access control using Unity Catalog.
Experience with at least one major cloud platform:




oAzure Databricks + Azure Data Services
AWS Databricks + AWS Analytics Stack
GCP Databricks + GCP Data Services
Good understanding of AI/ML, MLflow, MLOps, and Generative AI enablement on Databricks.
Proficiency in Terraform, CI/CD, Git, Azure DevOps/GitHub Actions.
Strong stakeholder management, solution architecture, customer-facing consulting, and team leadership skills.
·Mandatory Certification: Databricks Certified Data Engineer Professional or Databricks Certified Data Engineer Associate with proven Databricks architecture experience. Those have certification done only apply.
Experience Level: 15-20 Yrs
Job location: Noida, Pune, Bangalore, Chennai.
Open for which location: Noida, Pune, chennai, Bangalore

📌 Enterprise Data Architect (India)
🏢 R Systems
📍 India