Job description

• Architecture & Solution Design: Design end-to-end data and analytics solutions aligned with business goals; define architecture for data ingestion, processing, storage, and visualization using Azure and Databricks. • Azure & Data bricks Platform Expertise: Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure SQL, Cosmos DB, Databricks (including notebooks and Delta Lake), and Azure Functions; integrate with Power BI for reporting. • Data Engineering & Modeling: Design and optimize data pipelines using ADF and Databricks; develop ETL/ELT workflows and create scalable data models for analytics and machine learning use cases. • Advanced Analytics & AI: Work with Databricks and Azure Machine Learning to enable data science workflows; support integration of AI/ML models into analytics solutions. • Governance & Security: Ensure data governance, lineage, and compliance using Azure Purview; manage secrets and credentials via Azure Key Vault; enforce security with RBAC and data masking. • Collaboration & Leadership: Partner with business stakeholders, analysts, and technical teams to translate requirements into scalable solutions; guide development teams on architecture and implementation best practices. • Tools & Methodologies: Use Azure DevOps for CI/CD, Git for version control, ARM/Bicep or Terraform for infrastructure as code; follow Agile and DevOps delivery models.

Requirements