Manager, Data Engineering

Summary

Join The Krazy Coupon Lady (KCL) as their Manager, Data Engineering! This full-time, remote position leads the Data Engineering team, providing impactful data insights and supporting data-driven decisions. You will manage and prioritize the data engineering backlog, lead project delivery, and ensure efficient execution of data pipelines. The role requires strong leadership, problem-solving, and technical skills in data engineering and cloud-based platforms. KCL offers a comprehensive benefits package including company-paid medical and dental, 401k matching, flexible PTO, generous parental leave, and more. Applicants must reside in one of the specified states.

Requirements

• 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
• Reside in one of the following states: Arkansas, Florida, Georgia, Idaho, Illinois, Iowa, Minnesota, New York, New Jersey, Ohio, Pennsylvania, South Dakota, Texas, Utah, Virginia, or Wisconsin

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

Benefits

• Company-paid medical and dental coverage
• 401(k) with immediate vesting and up to a 4% match
• Flexible PTO
• Generous parental and caregiver leave—including a sabbatical at five years and even time off if you’re cast on Survivor!
• Home office stipend
• Monthly internet and phone reimbursements
• Access to professional development perks like certification reimbursement and public speaking bonuses
• Team events, financial reviews, and volunteer opportunities