• Lead and manage a team of data engineers, typically 5 to 8 direct reports • Actively contribute to development and implementation of data engineering solutions (50–60% hands-on coding) • Address engineering culture pain points and provide coaching and feedback to direct reports • Drive employee retention, resourcing, learning management, presales, feedback gathering, QA, and internal engineering processes • Foster team growth, pair with engineers to solve challenges, and ensure sustainable data engineering coverage across engagements • Advocate for and protect team time for internal projects • Push for sustainable technical architectural decisions with a long-term approach • Recruit, train, supervise and support development of team members and conduct performance reviews • Work with clients to build infrastructure guidelines, implement data engineering tools, and ensure consistency and security of data products • Support Tier 1 client engagements and translate client business needs into engineering requirements • Advise clients on tool selection and implement engineering solutions using best practices • Contribute to internal and external resources (e.g., internal wiki, blog posts) • Plan for sustainable team growth and lead hiring based on hiring plans • Support day-to-day execution and be accountable for availability, reliability, and quality of systems • Collaborate with data analytics, analytics engineering, and data solutions teams to achieve client goals • Guide the team in successful and timely execution of project deliverables