Technical Manager of Data Engineering

Job Description As a Technical Manager of Data Engineering you will lead and manage data-centric projects to deliver impactful business outcomes. This role requires a blend of technical expertise, project management skills, and the ability to drive cross-functional teams. You will be responsible for planning, executing, and overseeing complex data engineering initiatives, ensuring they align with business objectives and deliver value. Required Skills & Experience • Minimum of 10+ years in an end-to-end cloud data engineering projects, including data governance, data lakes, data applications on cloud platforms, visualizations, advanced analytics/machine learning, and data warehousing • Strong skills in Snowflake, Azure Databricks, Airflow & other Azure Cloud Services • Strong understanding of Generative AI & other LLM driven data apps • Strong business-facing communication skills, especially with senior stakeholders. • Excellent people management skills and a track record of managing large and complex engagements. • Knowledge of change management methodologies and tools. • Ability to produce high-quality deliverables that meet client needs. • Experience in conducting design meetings and developing Level of Effort estimates. • Creative thinking and innovative problem-solving skills. • Ability to establish credibility with clients, build consensus, and achieve goals through influence. • Excellent interpersonal, communication, and people management skills. • Experience with third-party developers and vendors. • Proficiency in using scrum/agile practices with multiple vendor integrations. • Strong understanding of organizational goals and objectives. • Excellent written and oral communication skills. • Ability to communicate ideas in both technical and user-friendly language. • Ability to prioritize and execute tasks in a high-pressure environment. • Keen attention to detail and experience working in a team-oriented, collaborative environment. • Knowledge of data privacy practices and laws. • Willingness to work occasional evenings and weekends to meet deadlines. • Preferred qualifications include certifications in Snowflake, Azure, Airflow & other data technologies Nice to Have Skills & Experience • Lead and manage cross-functional delivery teams on data engineering projects. • Develop and maintain integrated technology solution architectures and roadmaps • Work with the project management and product management teams to track key milestones and deliverables. • Guide and coach the development team on best practices to achieve rapid development of data solutions. • Coordinate feature delivery and production releases in collaboration with the product owner. • Actively manage the development activities, including solution design, code reviews, code deployments • Participate & engage in delivery activities including sprint planning, demos, retrospectives, and standups. • Resolve impediments and issues, removing delays and distractions to ensure project progress. • Track sprint progress and strive to increase velocity and accuracy of sprint planning. • Perform hands-on project work, including analysis, design, process engineering, and change management. • Collaborate with business partners to enable iterative cycles of data gathering, visualization building, and optimization. • Identify opportunities for improvements and recommend them to key stakeholders. • Deliver regular updates to program leadership on project status. • Conduct regular stand-up and status meetings with stakeholders. • Represent the Data & Analytics IT team in multi-functional teams, possessing detailed knowledge of technical aspects and broader business objectives. • Manage standard project management processes, including scope, budget, schedule, risks, communication, and change. • Oversee the budget of the cloud data warehouse program and manage vendor contracts. • Coordinate work across multiple business and IT teams. Job Types: Full-time, Permanent Pay: $130,000.00 per year Benefits: • 401(k) • Dental insurance • Health insurance • Life insurance • Paid time off • Vision insurance Work Location: In person