Lead AWS Data Engineer

We’re looking for a Lead Data Engineer to drive the design and delivery of a modern data hub and marketplace that powers analytics across the organization. In this role, you’ll build scalable data integration solutions, partner closely with source system owners, and provide curated, high-quality data to analysts, data scientists, and downstream applications. You’ll help define data models, improve data quality, and shape the strategy for a large contact-center data ecosystem. This role is ideal for someone who excels at complex data engineering, enjoys cross-team collaboration, and brings deep expertise in AWS and Databricks . What You’ll Do • Lead the engineering of a service data hub that supports data ingestion, transformation, and curated delivery to internal data consumers. • Build and maintain enterprise data models across data lakes, warehouses, and analytic layers. • Define integration rules and data acquisition strategies for streaming, replication, and batch pipelines. • Conduct deep data analysis to validate sources, understand lineage, and assess usability for key business use cases. • Establish and maintain enterprise data taxonomy and support data catalog initiatives. • Collaborate with data engineers to define workflows, data quality checks, and scalable pipelines. • Communicate clearly with technical and business stakeholders, providing mentorship and architectural guidance. What You Bring • Advanced hands-on experience with cloud-based data engineering, especially AWS and Databricks (Snowflake is also a plus) • Background with RDBMS platforms (Oracle, SQL Server) and familiarity with NoSQL (e.g., MongoDB). • Experience building ingestion pipelines for both structured and unstructured data. • Solid understanding of data modeling, governance, quality, compliance, and security. • Experience working with GitHub, JIRA, Confluence, and CI/CD pipelines (Jenkins, Terraform, etc.). • Ability to troubleshoot complex systems and communicate effectively with both business and technical teams. • Bachelor’s degree in Computer Science, IT, or related field.