Data Engineering Lead

Data Engineering Lead
Location: Oakland, CA (hybrid)
Duration: 6+months

Role Overview
The Data Analytics and Insights team is seeking a Data Engineering Lead to drive the design, development, and delivery of scalable data solutions across the enterprise. This role combines hands-on data engineering expertise with technical leadership, guiding a team of engineers while partnering with business, analytics, and architecture stakeholders.
You will play a critical role in shaping data platform, enabling advanced analytics and supporting initiatives across the smart grid and sustainability programs.

• Owns architecture and technical strategy, not just implementation
• Leads team delivery and mentoring
• Drives cross-functional alignment and roadmap execution
• Accountable for end-to-end data platform success

Key Responsibilities

Technical Leadership & Strategy

• Lead the design and architecture of enterprise data platforms using Snowflake and cloud technologies.
• Define and enforce data engineering standards, best practices, and governance frameworks.
• Provide technical direction on data modeling, pipeline design, and performance optimization.

Team Leadership & Delivery

• Lead and mentor a team of data engineers, ensuring high-quality delivery and professional growth.
• Drive end-to-end delivery of data initiatives, from requirements through deployment and support.
• Collaborate with cross-functional teams to prioritize and execute data roadmap initiatives.

Data Engineering & Development

• Design, build, and optimize scalable ETL/ELT pipelines using Snowflake and tools like Informatica.
• Develop and maintain modular, reusable data processing frameworks and stored procedures.
• Ensure high performance, reliability, and scalability of data pipelines.

Stakeholder Collaboration

• Partner with business stakeholders, analysts, and data scientists to translate requirements into technical solutions.
• Work with enterprise architecture and governance teams to ensure alignment with organizational standards.

Data Governance & Quality

• Establish and enforce data quality, metadata management, and governance practices.
• Ensure data integrity, security, and compliance across all data platforms.

Operations & Reliability

• Oversee monitoring and troubleshooting of data pipelines.
• Implement CI/CD and DevOps practices for data engineering workflows.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7–10+ years of experience in data engineering or related roles.
• Proven experience with Snowflake, Github, and Jenkins and cloud-based data platforms.
• Strong experience with ETL/ELT tools (Informatica, dbt, etc.).
• Deep understanding of data warehousing, dimensional modeling, and performance tuning.
• Strong proficiency in SQL and database technologies.
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
• Experience leading or mentoring engineering teams.
• Strong communication and stakeholder management skills.

Preferred Qualifications

• Experience with Python or scripting languages.
• Familiarity with big data technologies (Spark, Kafka, Hadoop).
• Experience with data orchestration tools (Airflow, etc.).
• Exposure to data visualization tools (Tableau, Power BI).
• Experience in utilities or energy sector is a plus