Senior Manager, Enterprise Data Platform

Overview

Company Overview

Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, green fuels and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence. 

Our approach begins and ends with establishing trust, accountability, and transparency. Our company values of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises.  Headquartered in San Francisco, Pattern has a portfolio of 30 power facilities and transmission assets across North America, serving various customers that provide low-cost clean energy to millions of consumers. 

Responsibilities

Job PurposeWe are seeking a highly skilled and experienced Senior Manager, Enterprise Data Platform to lead our data architecture, data engineering, and data governance efforts within our renewable energy business. The successful candidate will be responsible for designing and managing the company's data infrastructure, including our data lake, data warehouse, and ETL solutions. This role will play a pivotal part in ensuring data quality, enabling master data management, and supporting the technology stack that drives our data-driven decision-making processes.

By implementing robust data platforms and governance frameworks, this position will unlock the full potential of our data assets, enabling us to optimize operational efficiency, reduce costs, and enhance the accuracy of our business insights. The Senior Manager, Data Platform will ensure that our data systems are scalable and resilient, supporting the company’s growth objectives and helping us remain agile in a rapidly evolving energy market. By providing a single source of truth through effective master data management and high-quality data, this role will empower stakeholders across the organization to make informed decisions that drive sustainability initiatives, improve energy production, and ultimately increase profitability.

This strategic position will not only safeguard the integrity and reliability of our data but will also drive innovation by integrating cutting-edge technologies that enhance our competitive edge in the renewable energy sector.

Key Responsibilities

• Strategic Planning & Business Alignment
  • Collaborate with senior leadership to define and execute a data strategy that aligns with the company’s renewable energy business goals and overall vision.
  • Develop and maintain a comprehensive roadmap for data architecture and data platform enhancements that support current and future business needs.
  • Identify opportunities to leverage data for business growth, analytics, and operational efficiencies.
• Data Architecture & Engineering
  • Design and oversee the implementation of scalable data architectures that support data integration, processing, and storage across various business functions, data types, and datasets.
  • Lead the management of the data lake and data warehouse environments, ensuring high performance, scalability, and security.
  • Drive the development, optimization, and maintenance of ETL processes to ensure timely and accurate data delivery across the organization.\
• Data Governance & Master Data Management
  • Establish and enforce a data governance framework that ensures data consistency, accuracy, security, and compliance with industry regulations.
  • Lead the implementation and management of master data management (MDM) systems, ensuring the centralization and standardization of critical data assets.
  • Collaborate with stakeholders across departments to define data policies, standards, and best practices that align with business objectives.
• Data Quality Management
  • Implement data quality management processes to ensure the integrity, reliability, and accuracy of data across all systems.
  • Continuously monitor and improve data quality metrics, identifying and resolving data discrepancies and issues.
  • Lead initiatives to enhance data quality and drive a culture of data excellence throughout the organization.
• Technology Stack & Innovation
  • Evaluate, select, and integrate new technologies and tools into the data platform to enhance data processing capabilities and support advanced analyti