Lead Data Engineer

Opportunity Overview: We are seeking a Lead Data Engineer to drive the design and delivery of our cloud-native healthcare data platform. You will lead the implementation of scalable data solutions built on AWS, Apache Iceberg, Lake Formation, Glue Catalog, Athena, dbt, and modern orchestration frameworks. This role combines deep hands-on engineering with technical leadership and collaboration across platform, analytics, and business teams. What you’ll do: Lead Data Engineering Initiatives Lead delivery of complex data engineering projects across multiple teams Drive technical execution from design through production deployment Establish scalable implementation patterns Build and Optimize Data Platforms Design and implement batch and near-real-time pipelines Build reusable ingestion, transformation, validation, and publishing frameworks Support modernization of legacy workloads Lakehouse Engineering Lead Apache Iceberg implementation and optimization Define standards for schema evolution, partitioning, compaction, and metadata management Ensure efficient storage and query performance Data Quality and Reliability Implement data quality frameworks Drive observability and monitoring practices Improve operational excellence and reliability Technical Leadership Review architecture and design proposals Conduct code reviews and engineering reviews Mentor engineers and establish best practices Mentor engineers across levels, providing feedback, support, and growth opportunities aligned with career progression frameworks Collaborate with Staff Engineers and Managers to define and evolve platform architecture, technical strategy, and system reliability goals Act as a technical liaison between data platform engineering, analytics, and product teams—translating requirements into scalable, maintainable solutions ISMS roles and responsibilities: Good knowledge of Information practices. Assist the manager in all the information security activities implementation and maintenance process. Ensuring the team and imparted with Competence related to Information security Responsible for implementation of security policies and procedures and report any issues to the Information Security Manager. What you’ll need: Must-haves 8–12 years of Data Engineering experience. Healthcare claims and authorization datasets.(Insurance) Experience leading enterprise-scale data initiatives Cloud Technologies AWS S3, Glue, Athena, Lake Formation IAM and security controls Modern Data Stack Apache Iceberg (preferred) Delta Lake / Hudi • dbt • Airflow or Step FunctionsProgramming Python SQL PySpark / Spark Nice-to-haves Kafka / AWS MSK SageMaker Atlan or similar catalogs Multi-tenant data platforms Data contracts and Data Mesh concepts DBT Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Interview Process*: Connect with Talent Acquisition Meet with the Hiring Manager Behavioral Interview(s) Case Study