Manager, Data Engineering

In this role, you will:

• 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.

About you:

• Data Engineering Background: You’ve spent 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. You understand data platform architecture concepts and know how to promote a project from inception to delivery.
• Technology Leader: You take pride in your ability to lead others in fulfilling their potential and building a team of professionals where each team member's unique contribution can be realized. You continuously learn and expand in your knowledge of your domain and provide innovative and cutting edge solutions.
• Self Driver: You are a self managed individual, you require little guidance, and take the initiative whenever possible. You respond well to changing requirements and always keep your eyes on the goal, providing your business stakeholders with the best access to impactful data.
• Problem Solver: Your skills in problem solving are superior. You like to take on what others see as impossible. You are not deterred by obstacles or blockers and continuously look for the way forward while maintaining a high quality performance.

Physical Requirements:

• Use of Fingers: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand or arm as in handling.
• Talking: Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly.
• Hearing: Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound.
• Repetitive motions: Making substantial movements (motions) of the wrists, hands, and/or fingers.
• The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading.