- Architect and develop large-scale, mission-critical BI and data platform solutions serving millions of users across the globe, leveraging AWS native technologies including Athena, Redshift, Glue, QuickSight, and S3.
- Lead the design and implementation of robust data pipelines, data lakes, and data warehouses using modern architectures (Iceberg, Parquet, columnar formats) to support real-time and batch analytics at scale.
- Drive technical strategy and architectural decisions for the BI platform, including data modeling, query optimization, performance tuning, and cost optimization across AWS services.
- Build and maintain sophisticated back-end services, ETL/ELT workflows, and front-end analytics applications using Python, SQL, React, and modern web technologies.
- Design and implement efficient data storage solutions across relational databases (Redshift, PostgreSQL) and non-relational databases (DynamoDB, S3), ensuring optimal performance and cost-efficiency.
- Develop and maintain REST APIs and event-driven architectures to enable seamless integration between data services, analytics tools, and customer-facing applications.
- Serve as the technical lead and mentor for engineering teams, conducting architecture reviews, code reviews, and providing guidance on complex technical challenges.
- Collaborate with cross-functional teams including data engineers, analytics engineers, product managers, and DevOps to deliver innovative BI solutions that drive business value.
- Champion engineering excellence by establishing best practices, design patterns, and coding standards for data-intensive applications.
- Lead Agile ceremonies, drive sprint planning, and ensure timely delivery of high-quality software solutions while maintaining technical debt at manageable levels.
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