Teams at Hexaware Technologies

Lead technical design and delivery of an Azure data platform using Databricks and Data Vault. Develop transformation logic, maintain enterprise data models, ensure efficient and reliable processing, lead complex unit and integration testing, support GDPR-compliant solutions, and maintain data governance artifacts. Collaborate with architects, source-system experts, stakeholders, and the BI Center of Excellence while providing technical leadership, knowledge transfer, and problem-solving across complex data initiatives.

Build and lead engineering for a Snowflake enterprise data platform supporting banking transformation. Responsibilities include platform foundations, access controls, infrastructure as code, CDC and heterogeneous data ingestion, metadata-driven frameworks, dbt transformations, canonical and dimensional modeling, data quality, governance, orchestration with Snowflake Tasks and Dynamic Tables, monitoring, and AI-ready data products. The role partners with architects and application teams, defines engineering standards, and may lead, mentor, recruit, and coordinate a data engineering team.

Lead the design, development, and operation of scalable data pipelines using Databricks and Azure Synapse. Administer Azure data platform services, Databricks workspaces, security controls, networking, and governance. Manage infrastructure as code with Pulumi or similar tools, build CI/CD automation, monitor platform health, resolve incidents, and mentor junior colleagues while maintaining secure and reliable cloud data environments.