Data Architect - Databricks

Requirements

• Minimum 10 years of experience in Data & Analytics Architecture with proven leadership in large-scale enterprise data modernization initiatives
• Strong understanding of batch, streaming, real-time, and near real-time data architectures
• Proven experience implementing enterprise Data Governance frameworks and tool
• Hands-on experience enabling AI/ML and Generative AI data pipelines.
• Deep expertise in data domains including Data Warehousing, Data Modeling (Dimensional, Data Vault), MDM, Data Quality, Metadata Management, and Data Catalog implementation
• Advanced Databricks experience including architecture design, optimization, and security; including hands-on experience with Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, MLflow and integration with cloud services (AWS/Azure )
• Strong hands-on experience with AWS data ecosystem (S3, Glue, EMR, Lambda, Redshift, Lake Formation, Athena, DMS, etc.)
• Experience with real-time/streaming technologies (Kafka, Kinesis, or similar)
• Familiarity with orchestration tools such as Apache Airflow or MWAA
• Experience implementing CI/CD pipelines for data platforms
• AWS, Databricks and/or Snowflake certifications preferred