Data Engineer Manager AWS Databricks

Lead design and scale data solutions to support Journey Analytics initiatives with a strong focus on code quality reusability and reliable data platforms. This role is responsible for setting the technical direction overseeing the evolution of data architectures and leading a team of data engineers to deliver high-quality performant datasets for analytics and reporting use cases.

The ideal candidate combines strong hands-on data engineering expertise with people leadership experience and has a proven track record of driving scalable solutions in cross-functional environments.

Responsibilities

• Lead and mentor a team of data engineers while actively contributing to development efforts and setting best practices in coding architecture and data engineering standards.

• Define and drive the technical strategy for Journey Analytics data platforms while remaining hands-on in the design and implementation of scalable solutions.

• Actively contribute to the maintenance optimization and automation of code repositories in GitHub ensuring high-quality and consistent development practices.

• Participate directly in refactoring legacy codebases to improve maintainability scalability and reusability across multiple use cases.

• Design and build modular reusable data components to support multiple journeys and reduce duplication.

• Develop and manage automated data pipelines in Databricks ensuring reliability and scalability for downstream consumption.

• Design and implement scalable data models to support current and future analytics use cases.

• Ensure data quality governance performance and reliability across all data pipelines and datasets through both oversight and direct contribution.

• Collaborate closely with analytics product and engineering stakeholders to align data solutions with business needs and priorities.

• Proactively identify risks bottlenecks and improvement opportunities and take a hands-on role in driving mitigation strategies.

• Promote continuous improvement of data processes documentation and engineering practices through both leadership and execution.

Qualifications :

• 7 years of experience in Data Engineering.
• Strong experience working with GitHub repositories and version control workflows.
• Hands-on experience developing and maintaining data pipelines in Databricks.
• Proven experience refactoring and maintaining legacy codebases.
• Strong understanding of data modeling and reusable component design.
• Experience building scalable data models for analytics and reporting use cases.
• Strong focus on data quality performance and reliability.
• Ability to work in cross-functional environments and contribute to continuous improvement.
• Ability to work independently and take ownership of initiatives after receiving high-level direction driving tasks forward with minimal supervision.
• Experience using Genie (Databricks) (Plus).

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

Yes

Employment Type :

Full-time