10+ years of experience in data engineering and analytics.
5+ years of experience in architecting solutions using Databricks, and Power BI.
5+ years of experience in spark and spark sql.
3+ years of experience in ADF and working in enterprise level platforms / teams.
3+ years of experience with CI/CD pipelines, DevOps, and Agile methodologies.
3+ years of experience Azure Synapse, Azure Data Lake, SQL, Python, and Spark.
Job Summary
We are seeking a seasoned Technical Architect with deep expertise in Data Engineering and Data Analytics to lead offshore delivery teams. The ideal candidate will have hands-on experience with Azure Data Factory (ADF), Databricks, and Power BI, and will be responsible for designing scalable data solutions, guiding technical teams, and ensuring successful project delivery.
Key Responsibilities
Lead the architecture and design of end-to-end data engineering and analytics solutions.
Collaborate with onshore stakeholders to understand business requirements and translate them into technical solutions.
Architect and implement data pipelines using Azure Data Factory, Databricks, and other Azure services.
Should have excellent experience in building the business consumption layer by understanding the reporting needs.
Design and optimize data models for reporting and analytics using Power BI.
Ensure best practices in data governance, security, and compliance.
Provide technical leadership to offshore development teams and mentor junior engineers.
Conduct code reviews, performance tuning, and troubleshooting.
Stay updated with emerging technologies and recommend improvements.