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Renew Home · 2 months ago

Engineering Manager, Data (Remote, US)

United States

Full-time

Remote

Mid, Senior Level

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. The Engineering Manager, Data will lead a team of data engineers in building and maintaining secure, scalable data infrastructure and pipelines, ensuring alignment with business objectives and advocating for technical solutions.

Clean EnergyRenewable EnergySmart Home

Responsibilities

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

Qualification

Data engineeringAWS/GCP servicesData pipeline architecturePythonPostgresAgile developmentLeadershipCommunicationCollaboration

Required

Experience leading and mentoring a team of data engineers

Proficiency in architecting and overseeing the deployment of secure, scalable, and highly available batch and real-time data pipelines

Knowledge of data lake architectures for handling structured and unstructured data

Ability to collaborate with development teams, data scientists, analysts, and other cross-functional stakeholders

Experience ensuring 99.99% uptime SLA for data systems

Understanding of data quality, integrity, and compliance with governance standards

Experience managing work across a 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

Experience facilitating agile development processes

Ability to handle resource allocation, project prioritization, hiring, and onboarding

Staying abreast of industry trends in data engineering and cloud technologies