Enterprise Data Architect - Data Products & AI Enablement

Adept Consulting Services is seeking an experienced Enterprise Data Architect to help define and evolve enterprise information architecture and reusable data products supporting large-scale modernization, transformation, analytics, and artificial intelligence initiatives. This position will partner with business leaders, product teams, engineers, and enterprise technology stakeholders to determine which information assets should be shared across organizations and which should remain specific to individual business domains.

What You Will Do

The Enterprise Data Architect will define data domains, develop conceptual and logical data models, establish enterprise information standards, map legacy data sources to target domains, and help create the schemas, interfaces, metadata, and quality requirements needed to support modernization initiatives.

Why It Might Be a Fit

This role serves as a critical bridge between business processes and technical implementation, ensuring that new solutions contribute to a sustainable enterprise data foundation rather than creating additional data silos.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Systems Programming, or a related discipline, or an equivalent combination of education and professional experience.
• At least 10 years of experience in data architecture, information architecture, enterprise architecture, or a closely related area.
• At least eight years of hands-on experience in data architecture, data engineering, advanced database design, or data modeling.
• Demonstrated experience designing or implementing data warehouses, data marts, and enterprise data models.
• Strong understanding of master data management concepts, practices, and tools.
• At least five years of experience with modern data platforms and cloud-based data ecosystems, including technologies such as Snowflake, Databricks, MongoDB, AWS, Azure, or Google Cloud Platform.
• Experience designing solutions that address data security, privacy, classification, and regulatory requirements for sensitive information.
• Experience designing or implementing data-quality programs, platforms, or tools.
• Demonstrated success supporting large-scale modernization or digital transformation initiatives across multiple business domains and stakeholder groups.
• Strong understanding of metadata management, data lineage, data catalogs, governance, interoperability, and data observability.
• Ability to translate complex business concepts into practical data models and technical architecture.
• Strong written and verbal communication skills.
• Ability to develop and manage independent work plans, resolve ambiguity, influence stakeholders, and lead teams without direct authority.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• PTO