Engineering Manager, Data (Remote, US)

Data Engineering Manager

Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America.

We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort and cleaner energy for everyone.

We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard.

Renew Home is seeking an experienced Data Engineering Manager to lead a team of 4-5 data engineers in building and maintaining secure, scalable data infrastructure and pipelines. You will oversee the development of batch and real-time data pipelines, data lake architectures, data archival and compliance, and database optimizations to support our growing business needs. This role requires a blend of technical expertise, strategic vision, and strong leadership to guide the team in delivering reliable data solutions while collaborating with cross-functional stakeholders. As a manager at this level, you will demonstrate proficiency in domain expertise, people management, scope and impact, leadership, communication, and decision-making, aligning with expectations for engineering managers who can handle moderately complex issues and lead small teams effectively.

What You Will Do

• Lead and mentor a team of data engineers, providing technical guidance, career development, and performance feedback to foster a high-performing and collaborative environment, including understanding leadership nuances, contributing to job descriptions, hiring plans, and participating in reviews and performance management actions.
• Architect and oversee the deployment of secure, scalable, and highly available batch and real-time data pipelines, ensuring alignment with business objectives and best practices, while personally delivering significant features and breaking down work into manageable deliverables.
• Guide the implementation and optimization of data lake architectures for handling structured and unstructured data from millions of thermostats, delegating tasks while maintaining overall accountability, and applying knowledge of the company's business to competitive advantage.
• Collaborate with development teams, data scientists, analysts, and other cross-functional stakeholders to integrate data engineering services into the broader system architecture and deliver clean, reliable data, advocating for technical solutions and motivating the team.
• Ensure the team strives for and achieves 99.99% uptime SLA for data systems, including managing and participating in on-call rotations, incident response, and the preparation of detailed incident reports, while providing solutions that meet standards of operational excellence.
• Uphold data quality, integrity, and compliance with governance standards, implementing processes and tools to monitor and enforce these across the team, and making recommendations for headcount planning.
• Manage the team's work across our technology stack, including Python, Postgres, AWS / GCP services (CDK, ECS / EKS, RDS, Redshift, zeroETL, S3 Tables, Athena, Iceberg, Glue, Flink, S3, SQS, SES, Pub / Sub, etc.), Prefect, Redis, Git, and Jira, demonstrating depth in 2+ areas and expertise in at least one layer of the technology stack.
• Facilitate the team's participation in agile development processes, including sprint planning, stand-up meetings, retrospectives, and one-on-ones, and make routine decisions easily while starting to handle more ambiguous choices.
• Handle resource allocation, project prioritization, hiring, and onboarding to build and maintain a talented data engineering team, familiar with company policies like anti-harassment and employee review cycles.
• Stay abreast of industry trends in data engineering and cloud technologies, championing continuous improvement and innovation within the team, gaining industry-wide knowledge and applying it to refine processes.