Principal Data Architect

• Help establish EPE’s 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.

• 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.

• 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.

• 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 EPE’s future enterprise data platform and data team structure.

Bring your passion, here's what’s needed:

• Bachelor’s degree in Information Technology, Computer Science, Data, Engineering, or a related field; master’s 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.

• 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.

• 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.

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 for you
• Generous PTO and paid holidays

• Work with industry leaders
• 401K, up to a 4% match (100% vested from day 1)

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

EPE does not accept unsolicited resumes from third-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 agency.

EPE will not pay a fee to a third-party recruiter or agency without a previously signed third-party agreement and has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team.