Data Architect Jobs

About The Position

Requirements

• Bachelor’s degree in Computer Science, MIS, Informatics, or related field
• 10+ years of experience in enterprise data modeling, preferably in cloud-based data warehouse and data lake environments.
• Strong expertise in dimensional modeling (star and snowflake schemas) and relational data design.
• Hands-on experience with cloud data platforms such as Snowflake, AWS Redshift, or Google BigQuery.
• Advanced SQL skills and experience designing database schemas and structures.
• Proven experience with Enterprise Data Catalogs and Business Glossaries, including tools like Collibra, Alation or MS Purview
• Experience with defining metadata standards, mandatory attributes, and data stewardship workflows.
• Ability to collaborate on metadata strategy supporting self-service BI, analytics, and data governance.
• Proficiency with data modeling tools (e.g., Erwin, ER Studio, IBM InfoSphere Data Architect or similar).
• Solid understanding of data engineering concepts, ETL/data pipelines, data lineage, and integration practices.
• Experience embedding metadata, naming standards, and data quality practices into data platforms and development processes.
• Excellent communication and collaboration skills across business, analytics, and technology teams.

Nice To Haves

• Expertise with data and metadata modeling best practices to design data repositories optimized to support AI/ML applications and use cases is highly desired.

Responsibilities

• Design, implement, and maintain conceptual, logical, and physical data models for enterprise data warehouses, data lakes, and specialized data stores.
• Collaborate with business and technical stakeholders to gather requirements and translate them into efficient, scalable data designs.
• Define and govern enterprise data modeling and metadata standards, best practices, and design patterns.
• Partner with data engineering teams to ensure data models align with ETL/data pipelines, lineage, and performance requirements.
• Develop and maintain data documentation, including data dictionaries, business glossary entries, and data catalog metadata.
• Support and evolve the Enterprise Data Catalog and Business Glossary, capturing business, technical, and operational metadata.
• Work with Data Owners and Data Stewards to ensure key data elements have clear definitions, ownership, lineage, and data quality context.
• Serve as a technical leader and mentor, promoting data modeling, metadata, and governance best practices across the organization.

Benefits

• Competitive Pay
• Extensive Paid Time Off and (9) added Holidays.
• Excellent healthcare, dental, and vision benefits
• 401(k) with a company match
• Long/Short term disability coverage
• Parental Leave
• Additional add-on benefits/discounts for programs such as Pet Insurance
• Continued training and educations programs
• Excellent opportunities for advancement in a stable long-term career