Director of Data Engineering - Battery Storage

Company Overview 

Plus Power is an energy storage market leader, with a market-leading 10+ GW portfolio across more than 25 US states and Canadian provinces that will transform North American electric grids into cleaner and more versatile critical infrastructure.

Standalone energy storage is rapidly transforming the North American energy markets, because it is cheaper than new natural gas plants, faster to build than fossil peakers or transmission, and able to perform diverse energy services. Plus Power partners with electricity system operators, utilities, and investors to originate, develop, finance, own and operate standalone energy storage projects that provide critical services to the wholesale electric market. Plus Power’s team applies an intentional mindset to energy storage development by using a data-driven approach to development and operations.

At Plus Power, we are focused on solving hard climate problems, profitably.  We are growing fast, and value candidates who, like us, share a focus on setting high expectations, owning and learning from mistakes in the spirit of radical transparency, and are committed to internal partnering as a key element of our ideas meritocracy. Our team praises Plus Power’s culture and excels through our game-changing mission and supportive ecosystem.

About the Role 

Plus Power recruits outstanding energy industry professionals who are driven to develop, build and operate assets safely and reliably to decarbonize the power markets while growing their careers. Our team looks for data-driven and fact-based mindsets, engaging and collaborative behaviors, and personal growth-focused professionals.     

In order for the global energy system to make the transition from a carbon-based grid, to a renewable energy grid, large scale energy storage must be introduced into the electricity system to balance intra-hour supply and demand.  Energy storage is the enabler of high penetration variable renewable generation like solar and wind. 

We are seeking a highly experienced and skilled Director of Data Engineering to join our team. The ideal candidate will deeply understand data architecture, cloud infrastructure and the ability to design and implement scalable, secure, and reliable data solutions.

Key Responsibilities:

• Lead the design, development, and implementation of data infrastructure solutions in multiple public Cloud platforms and services (Azure, AWS, and GCP) using industry standards and best practices
• Translate business needs into data models supporting long-term solutions using SQL and non-SQL databases on cloud-based platforms.
• Create and maintain conceptual, logical, and physical data models and corresponding metadata using best practices to ensure high data quality and access.
• Identify data gaps and enforce strong practices to close any data quality issues in a timely manner; establish a single version of truth for reference data that benefits consumers.
• Contribute to and implement a strategy for data management in private and public clouds, leveraging cloud-native tools and techniques.
• Establish and keep up with Data Non-Functional Requirements (NFR) to ensure that metadata, data mappings, data lineage, and other related items meet the policy requirements for being complete, accurate, and consistent.
• Manage data as a strategic asset and operationalize data governance, data quality, data integrity, and controls across the organization.
• Introduce and propagate modern engineering practices around data, including reusable/configurable data quality and data access control frameworks.
• Drive consistency, efficiency, and cost benefits through establishing and continuously improving data management practices and standards.
• Stay up to date on the latest trends and technologies in data and cloud infrastructure

Skills & Qualifications:

• A master's or bachelor's degree in computer science, information systems, or a related field
• 10+ years of experience in data architecture and cloud infrastructure
• 8+ years of experience with reference data management, business information architecture, analytics, business process re-engineering, and Product Management
• 7+ of experience demonstrating expert-level knowledge of cloud architecture patterns (microservices, event-driven, serverless, API first and API gateways, service mesh, CQRS, stateless design)
• 5+ years of data mapping and data lineage (create or analyze)
• 3+ years of technical leadership in a data and technical environment, including Data Engineering, Data modeling, Metadata management, etc.
• Strong SQL and Python knowledge
• Strong knowledge of business operational processes, data, and technology platf