Director, Enterprise Data Architecture

Invenergy drives innovation in energy. Powered by decades of entrepreneurial experience and unparalleled execution, we solve the energy challenges facing our customers and communities. We provide power generation and storage solutions at scale around the world to create a cleaner energy future. We develop. We build. We own. We operate. We are Invenergy.

This position will be open for application for at least 3 calendar days from the posting date. This position will remain open for application based on business need, which may be before or after the 3-day posting window.

Job Description

Position Overview

Invenergy is seeking a Director of Enterprise Data Architecture to lead the design, implementation, and governance of the company’s enterprise-wide data architecture. This role sits in the front office of IT, partnering closely with technology, business, and operations teams while ensuring that the back-end data environment—storage, pipelines, cost-effective access, and governance—is optimized for scalability, performance, and value creation. The Director will serve as a strategic thought leader and hands-on practitioner, aligning Invenergy’s enterprise data strategy with business needs, driving cloud adoption, and ensuring robust data governance across the organization.

Responsibilities

Enterprise Data Strategy & Architecture

• Define and maintain the enterprise data architecture vision, roadmaps, and reference models.

• Ensure scalable, secure, and cost-optimized data storage, access, and processing architectures across on-prem and cloud platforms.

• Partner within IT and business leaders to align architecture decisions with analytics, reporting, and AI/ML needs.

Data Engineering & Pipelines

• Oversee the design and delivery of enterprise-grade data pipelines (batch and real-time) for ingestion, transformation, and consumption.

• Establish best practices for metadata management, lineage tracking, and performance optimization.

• Evaluate and implement modern data technologies (streaming, orchestration, API integration).

Governance & Compliance

• Drive the adoption of enterprise-wide data governance frameworks, policies, and standards.

• Ensure compliance with regulatory requirements and industry best practices.

• Champion data stewardship and quality initiatives in partnership with business and data governance leaders.

Cost Optimization & Operations

• Implement cost-effective data management strategies, including cloud cost governance and resource optimization.

• Establish monitoring and optimization processes for data infrastructure performance and spend.

• Partner with Finance and Procurement to evaluate data platform contracts and usage.

Leadership & Collaboration

• Build, mentor, and lead a high-performing team of data architects and engineers.

• Act as a bridge between IT front-office leadership and back-end teams, ensuring alignment of business needs with technical delivery.

• Influence cross-functional stakeholders on the value of enterprise data assets and architecture.

Minimum Qualifications

• Bachelor’s degree in a related field.

• 10+ years of professional experience in quantitative analysis, data modeling, reporting, relational database tools, data warehousing, and database architecture.

• 3+ years in the Microsoft BI stack including SSIS and ADF.

• Expertise in data warehousing concepts and relational data models.

• Experience with commercial ETL platforms and in-depth knowledge data transformation and data pipelines. 

• Strong understanding of data ingestion design, data modeling patterns, and multiple data modeling techniques.

• Strong understanding of SDLC best practices with an emphasis on DW/BI practices.

• Significant, demonstrated experience with development and support of mission-critical BI/data analytics applications in both large and high growth organizations.

• Must be forward and strategic thinking, with a strong passion for evaluating emerging technologies along with a demonstrated history of technology and process innovation.

• Experience innovating with cloud-first technologies.

• Excellent written, verbal, and interpersonal communication skills, with the ability to interact with all levels of the organization.

• Demonstrated problem solving, decision making, and leadership skills.

• Excellent written and verbal communication skills and strong cognitive a