Manager – Data Engineering

Manager – Data Engineering

Requirements

• At least 10 years in Software/Data Engineering Development and/or Team management roles with an emphasis on implementing DWH and ETL/ELT industry best practices
• Understanding of data platform architecture concepts
• Ability to promote a project from inception to delivery

Responsibilities

• Manage and prioritize the data engineering backlog, ensuring alignment with business objectives and timely delivery of high-impact data solutions
• Lead delivery of data engineering projects, including planning, scoping, resource allocation, and execution to meet business goals
• Ensure timely and efficient execution of data pipeline development, maintenance, and optimization, driving continuous improvement in performance and scalability
• Coordinate cross-functional teams (Analytics, Engineering, Product, Sales, Marketing) to define data requirements, establish milestones, and deliver solutions on schedule
• Monitor and report on project progress, tracking key performance indicators (KPIs) and ensuring alignment with the overall program roadmap
• Establish and enforce program timelines, and resource allocation, ensuring projects are delivered on time, within scope, and within budget
• Drive risk management and issue resolution, identifying potential roadblocks early and proactively implementing corrective actions
• Optimize and maintain cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) to ensure high availability, reliability, and cost efficiency for all data initiatives
• Develop and enforce data engineering best practices, including data governance, security, and quality assurance, across all project phases
• Conduct regular status meetings and reviews with stakeholders, ensuring transparency in progress and ensuring expectations are met
• Oversee the integration of new data sources, managing both short-term implementation and long-term integration strategies
• Foster a collaborative and high-performing team environment, providing guidance, mentorship, and ensuring that team objectives align with broader business goals
• Ensure timely and accurate documentation of engineering processes, project milestones, and system architecture for future reference and compliance
• Evaluate emerging tools and technologies, proposing new solutions or improvements to enhance the efficiency and impact of data engineering projects

Preferred Qualifications

• Ability to lead others in fulfilling their potential and building a team of professionals
• Continuous learning and expansion in knowledge of the domain
• Self-managed individual who requires little guidance and takes initiative
• Superior problem-solving skills and ability to overcome obstacles