Lead Data Analytics Engineer

Description & Requirements

The Lead Data Engineer reports to the Senior Manager of Analytics Technology and provides both expert guidance and hands-on development of the enterprise data warehouse, Salesforce CRMA platform, BI delivery, and other related tasks.

The lead is heavily focused on individual contribution in hands-on development, but also provides leadership via assisting on the development of technical architecture, adherence to naming conventions, change control, best practices, DevOps, QA/QC, and other technical topics as well as mentoring more junior team members.

This role also entails documentation development including standard operating procedures, ERDs, data governance, best practices, etc.

Essential Duties and Responsibilities:

- Responsible for delivery of systems and solutions, including the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technology solutions.

- Develop and maintain data integration solutions (including ETL/ELT design and architecture), semantic layer objects, presentation objects, reports, and dashboards for delivery of analytic solutions.

- Translate business needs and requirements to system requirements, data mapping, and data and semantic model design.

- Analyze requirements and apply architectural and engineering concepts to develop solutions that meet business needs while maintaining sustainability objectives, including: scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability.

- Conduct code reviews, mentor and guide developers, assign tasks to developers, provide subject-matter expertise to project and leadership teams.

- Provide training and consulting for various technical and non-technical internal teams.

- Produce work breakdowns and task estimates (scoping and tracking activities).

- Produce and document standard and best practices.

- Provide level 3 support for production systems.

Essential Duties and Responsibilities:

- Responsible for delivery of systems and solutions, including the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technology solutions.

- Develop and maintain data integration solutions (including ETL/ELT design and architecture), semantic layer objects, presentation objects, reports, and dashboards for delivery of analytic solutions.

- Translate business needs and requirements to system requirements, data mapping, and data and semantic model design.

- Analyze requirements and apply architectural and engineering concepts to develop solutions that meet business needs while maintaining sustainability objectives, including: scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability.

- Conduct code reviews, mentor and guide developers, assign tasks to developers, provide subject-matter expertise...