Director, Enterprise Data Architecture

InvenergyChicago, IL
69d$175,000 - $220,000

About The Position

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.

Requirements

  • 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 of 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 ability.
  • Demonstrated ability to organize information, manage tasks and projects to support business needs.
  • Ability to flexibly accept dynamically changing priorities.

Responsibilities

  • 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.
  • 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).
  • 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.
  • 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.
  • 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.

Benefits

  • Medical, dental and vision insurance
  • 401k
  • Paid time off
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service