Enterprise Data Quality Platform Architect & Automation

Jobtailor; Alabama; On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor seeks a technical owner for enterprise data quality platforms, focusing on architecture design and governance. You will evaluate and evolve solutions that support data quality products, assess platforms and integration patterns, and ensure non-functional requirements like scalability and reliability are met.

Collaboration with product owners and platform teams is essential. Strong experience in data quality frameworks, metadata lineage, and technical documentation is expected, along

Qualifications

• 3+ years of relevant / direct industry experience.
• Strong data quality frameworks knowledge.
• Metadata/lineage fundamentals.
• Analytical problem solving.
• Technical documentation skills (Agile/SAFe, SQL, and testing experience preferred).
• University / college degree, with role-specific skills.

Responsibilities

• Serve as the technical owner for enterprise data quality platforms and tooling.
• Focus on platform and capability design—not traditional ETL or batch pipeline development.
• Design, evaluates, and evolves technical solutions enabling data quality products.
• Assesses data platforms, tools, and integration patterns for fitness of purpose.
• Translates product requirements and governance into architecture decisions.
• Ensures solutions meet scalability, reliability, and maintainability.
• Documents architecture decisions, trade-offs, and standards for long-term sustainability.
• Applies systems thinking to complex, multi-platform data environments.
• Partners with Product Owners, engineers, and platform teams to align delivery with risk intent.

Skills

Data quality frameworks

Metadata/lineage fundamentals

Analytical problem solving

Technical documentation

Education

University degree

Tools

SQL

Agile/SAFe

Job description

Jobtailor seeks a technical owner for enterprise data quality platforms, focusing on architecture design and governance. You will evaluate and evolve solutions that support data quality products, assess platforms and integration patterns, and ensure non-functional requirements like scalability and reliability are met.

Collaboration with product owners and platform teams is essential. Strong experience in data quality frameworks, metadata lineage, and technical documentation is expected, along