Technical Product Manager (TPM) Data Engineering Lead

About MatchPoint Solutions

MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber Robinhood Netflix Airbnb Google and more. With a growing international presence across North America Europe Asia and South America we help organizations turn ideas into outcomes through cutting-edge technology industry best practices and deep technical expertise.

Were expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative high-growth environment.

Job Title: Technical Product Manager (TPM) / Data Engineering Lead

Location: San Ramon CA (Onsite)

Duration: 12 Months

Employment Type: Contract

Pay Rate Range: $75 to $80

Position Overview

We are seeking a highly skilled Technical Product Manager (TPM) to lead the strategy roadmap and execution for backend platform capabilities. This role requires deep technical understanding of enterprise data platforms DevOps tools CI/CD pipelines and cloud infrastructure. The TPM will collaborate closely with engineering DevOps data security and business stakeholders to drive scalable reliable and secure platform solutions.

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 PG&Es data platform enabling advanced analytics and supporting initiatives across the smart grid and sustainability programs.

Key Characteristics

• 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

• Bachelors or Masters 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 GCP).
• 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.

Equal Employment Opportunity

MatchPoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race color religion age sex national origin disability genetic information protected veteran status sexual orientation gender identity or expression or any other characteristic protected by applicable federal state or local laws.

This policy applies to all aspects of employment including recruitment hiring placement promotion termination layoffs recall transfers leaves of absence compensation and training.