Principal Data Architect

We are designing the grid of the future!

Be a part of an innovative team shaping the grid of the future through advanced energy intelligence. For more than half a century Electric Power Engineers (EPE) has partnered with power and energy clients across the globe providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges. As leaders in the renewables space we are focused on building a modern secure and resilient grid. Join us in making an impact on the communities we serve and the environment in which we live. Together we can transform the future of energy.

Join us in leading thechange!

We are designing the grid of the future.

The Principal Data Architect will help establish EPEs enterprise data architecture foundation partnering across Software Business Applications Analytics Finance Cybersecurity Infrastructure and business teams to create trusted scalable and reusable data patterns.

Reporting to the CIO this role will be responsible for defining data architecture standards integration patterns canonical data models curated data layers and governance practices that support enterprise reporting operational visibility automation analytics and future AI use cases.

This is a hands-on architecture role. The Principal Data Architect will serve as a senior technical resource who influences delivery teams guides platform decisions and helps shape the future enterprise data capability as EPE grows.

Howyou can make an impact:
Enterprise Data Architecture

• Define and maintain EPEs enterprise data architecture standards including lakehouse warehouse data mart and curated data layer patterns.
• Develop canonical data models reusable data domains and semantic definitions across key enterprise systems.
• Partner with application software and analytics teams to ensure data structures are scalable consistent secure and maintainable.
• Help establish practical architecture patterns that support reporting analytics integration automation and AI readiness.
• Review proposed data models pipelines integrations and platform changes for alignment with enterprise standards.

Data Engineering & Integration Patterns

• Design and guide reliable data integration patterns across engineering data sets (PSSE PSCAD ERCOT LMP etc) and enterprise platforms (ERP CRM HR project finance and operational systems).
• Define when to use APIs event streams batch interfaces data pipelines or platform-native integration patterns.
• Partner with software and engineering teams to expose data and system capabilities through secure documented versioned and observable interfaces.
• Support the development of reusable data services and data products for approved downstream consumers.
• Help reduce duplication and fragmentation by promoting common integration modeling and documentation standards.

Data Governance Quality & Stewardship

• Help establish EPEs data governance foundation including ownership stewardship metadata lineage classification and quality expectations.
• Partner with business and technology stakeholders to define authoritative sources and trusted data definitions for key data domains.
• Create practical standards for data quality data documentation data lineage and permitted use.
• Work with business teams to improve trust in enterprise reporting and analytics.
• Support governance forums and working groups that drive alignment adoption and accountability.

AI-Ready Data Enablement

• Design data products and access patterns that support approved AI GenAI RAG automation and advanced analytics use cases.
• Ensure AI-related data capabilities are grounded in trusted sources clear ownership semantic definitions metadata lineage and quality thresholds.
• Partner with Software Analytics Cybersecurity and business teams to ensure AI use cases have secure and appropriate access to enterprise data.
• Help establish responsible data access practices for sensitive data model inputs and AI-enabled workflows.

Security Privacy & Reliability

• Design data architecture patterns that align with enterprise security privacy compliance and access control requirements.
• Partner with Cybersecurity to support least-privilege access role-based access audit logging credential management and data-sharing controls.
• Help define observability expectations for data and integration services including freshness completeness latency failures usage access anomalies and downstream impact.
• Support incident analysis related to data quality data access integration failures or data misuse in partnership with the appropriate teams.

Cross-Functional Leadership

• Serve as a trusted advisor to business and technology teams on data architecture integration and governance decisions.
• Translate business needs into practical data architecture recommendations and delivery guidance.
• Influence teams through standards design reviews documentation coaching and clear decision-making.
• Help prioritize data architecture work based on business value risk complexity and long-term maintainability.
• Contribute to the roadmap for EPEs future enterprise data platform and data team structure.

Bring your passion heres whats needed:

Experience

• Bachelors degree in Information Technology Computer Science Data Engineering or a related field; masters degree preferred.
• 10 years of experience in data architecture data engineering enterprise applications software engineering analytics platforms or related technology roles.
• Experience designing enterprise data models data integration patterns data pipelines or modern data platforms.
• Experience with cloud data ecosystems data lake/lakehouse patterns data warehouses or platforms such as Snowflake Databricks AWS Azure or similar technologies.
• Experience working across application software analytics infrastructure cybersecurity and business teams.
• Experience supporting data governance data quality metadata lineage access control or data classification practices.
• Experience enabling analytics reporting automation AI/ML GenAI or RAG use cases through governed and reusable data patterns preferred.

Technical & Business Skills

• Strong understanding of modern data architecture including lakehouse warehouse data mart semantic layer and curated data product patterns.
• Experience with data integration approaches such as ETL/ELT APIs streaming batch processing event-driven architecture and service interfaces.
• Ability to define and document canonical models data domains schema standards data contracts and integration patterns.
• Knowledge of data governance data stewardship MDM data quality metadata lineage and data classification concepts.
• Understanding of security privacy compliance and access control requirements for enterprise data environments.
• Ability to translate business problems into practical data architecture solutions.
• Ability to balance architectural standards delivery speed business value and risk.

Leadership & Operating Style

• Hands-on architect who can operate at both strategic and detailed levels.
• Strong communicator who can explain complex data concepts to technical and non-technical stakeholders.
• Collaborative partner who works well across Software Business Applications Analytics Cybersecurity Infrastructure and business teams.
• Comfortable operating in a growing environment where data capabilities are still maturing.
• Practical and outcome-oriented with the ability to create structure without unnecessary bureaucracy.
• Able to influence through expertise credibility documentation standards and partnership.
• Interested in helping build the foundation for a future enterprise data capability.

Why This Role Matters

EPE is scaling its technology and data capabilities to support continued growth operational excellence trusted reporting automation and AI-driven innovation.

The Principal Data Architect will play a key role in building the enterprise data foundation that helps teams make better decisions reduce duplication improve data trust and enable future AI-supported ways of working

How we support you:

• Comprehensive health and wellness benefits including medical dental and vision with 100% premium coverage foryou
• Generous PTO and paid holidays
• MyShare Employee Ownership Program
• Work with industry leaders
• 401K up to a 4% match (100% vested from day 1)

Location: This position will be Remote

Travel: Occasional travel may be needed (10% or less)

EPE is an equal opportunity/AA/Disability/Veteran employer. The EEO is the Law poster and its supplement are available using the following links:EEOC is the Law Poster

Third-Party Recruiting Notification

EPE does not accept unsolicited resumes fromthird-party recruiters. Any unsolicited third-party resumes forwarded by recruiters to EPE via our career page or to any of our managers or employees will be considered public information may be treated as a direct application from the person identified in the resume and will not be eligible for placement fee payment to the will not pay a fee to a third-party recruiter or agencywithout a previously signed third-party agreementand has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team.