Lead Data Engineer

Team Leadership:

• Establish the strategic vision for the evolution of our data products and our technology solutions, then provide technical leadership and guidance for a small team of Data Engineers in executing the roadmap.

• Champion and enforce best practices for data quality, governance, and architecture within your team's work. Embody a product mindset over the team’s data.

• Oversee the team’s use of Agile methodologies (e.g., Scrum, Kanban), ensuring smooth and predictable delivery, and overtly focusing on continuous improvement.

Data Expertise & Domain Knowledge:

• Actively seek out, propose, and implement cutting-edge approaches to data transfer, transformation, analytics, and data warehousing to drive innovation.

• Design and implement scalable, robust, and high-quality ETL processes to support growing business demand for information, delivering data as a reliable service that directly influences decision making.

• Develop a profound understanding and "feel" for the business meaning, lineage, and context of each data field within our domain.

Communication & Stakeholder Partnership:

• Collaborate with other engineering teams and business partners, proactively managing dependencies and holding them accountable for their contributions to ensure successful project delivery.

• Actively engage with data consumers to achieve deep understanding of their specific data usage, pain points, and current gaps, then plan initiatives to implement improvements collaboratively.

• Clearly articulate project goals, technical strategies, progress, challenges, and business value to both technical and non-technical audiences. Produce clear, concise, and comprehensive documentation.