Data Team Lead

Technology stack AWS Batch, Amazon RDS, Amazon S3, Amazon SNS, Amazon SQS, Amazon ECR, AWS Lambda, Apache Spark, PostgreSQL, GitHub, GitHub Actions, web parsing and scraping, and Master Data Management. Project overview You will work closely with architects, engineers, product teams, and clients to translate business requirements into technical solutions, estimate and plan delivery, resolve technical challenges, and ensure high-quality engineering standards across the team.

Lead the day-to-day work of the Data Engineering team, including technical direction, planning, prioritization, and delivery. Translate client requirements into clear technical scope, implementation activities, estimates, and delivery plans. Contribute to solution design by proposing approaches, reviewing architectural decisions, and constructively challenging them when appropriate.

Work closely with the Data Architect to ensure proposed solutions are practical, scalable, and aligned with implementation needs. Coordinate team priorities, task ownership, dependencies, and progress. Review technical solutions, code changes, database changes, and implementation approaches.

Support engineers with technical decisions and blockers. Take ownership of problems and drive them through investigation, resolution, and validation. Identify risks and dependencies early and coordinate with the relevant teams to resolve them.

Collaborate with Backend, AI, QA, DevOps, Product, and Architecture teams. Commun