Enterprise Data Architect

Are You Driven?® We Are.

We are a company of driven, enthusiastic, and determined people. We celebrate achievement and success.  We foster innovation, determination, and recognition. Because of that, our employees feel recognized and rewarded for the contributions they make daily. At GAINSCO, it is our people that set us apart.

If you are looking for a place where you can make a difference, understand how your work impacts the company, and be recognized for your efforts and passion, then GAINSCO is the company for you.

Why Join GAINSCO?

GAINSCO’s work environment rewards engaged individuals who have a desire to contribute and succeed. That’s because our culture encourages individuals to grow their skills as they build their careers. Come join us and become a Champion with GAINSCO.

GAINSCO is seeking an Enterprise Data Architect to define and govern our enterprise-wide data and analytics architecture strategy. In this highly visible role, you’ll establish the long-term architectural vision and standards across ingestion, integration, storage, modeling, and analytics delivery—enabling trusted insights through platforms like Power BI and Tableau. You’ll partner closely with business and engineering leaders to drive modernization, align architecture to business priorities, and deliver measurable outcomes through scalable, secure, and reusable data solutions.

What does an Enterprise Data Architect do?

• Create and own the long-term enterprise data architecture strategy, what “good” looks like now and where we’re going next.
• Define standards and patterns for how data is ingested, integrated, stored, modeled, and delivered for analytics.
• Evaluate emerging tools and approaches and recommend what’s worth adopting.
• Guide modernization efforts to ensure our platforms stay scalable, secure, and reusable.
• Architect and guide solutions using Azure Data Factory, Synapse, SQL Server, Snowflake, and related services.
• Establish “reference architectures” for both batch and real-time/streaming pipelines.
• Lead enterprise data modeling practices (conceptual, logical, physical) to drive performance, consistency, and reuse.
• Ensure platforms are designed for reliability, cost-efficiency, and future growth.
• Define enterprise expectations for data quality, metadata, lineage, security, and access controls.
• Partner with Security and Governance teams to ensure solutions meet enterprise and regulatory requirements.
• Set best practices for semantic models, metric definitions, and dataset design so reporting is consistent and trusted.
• Help govern Power BI and Tableau usage to reduce duplication and improve clarity across dashboards and reports.
• Partner with business leaders and analytics teams to translate business needs into clear, workable data and reporting solutions.
• Facilitate cross-team architecture decisions and help teams align on shared standards.
• Conduct architecture/design reviews and provide coaching and guidance to engineering teams.
• Identify opportunities to improve performance, reduce technical debt, and streamline analytics delivery.
• Promote platform adoption and usability so teams can deliver insights faster with less rework.

What is required?

Education:

• Bachelor’s degree in Computer Science, Information Technology, or a related field required.

Experience:

• 10 years of experience in Data Engineering.
• 5 years of experience in a Data Architect role (enterprise-level architecture experience strongly preferred).
• 5 years with Azure Data Factory, Azure Synapse, SQL Server, and Snowflake.
• 5 years with streaming data platforms such as Kafka and/or Azure Event Hub.
• 5 years with enterprise BI platforms including Power BI and Tableau.
• Strong background in data governance and cloud architecture
• Strong experience with DevOps methodologies, CI/CD workflows, ITIL practices, and Git-based development.

Other skills and abilities:

• Infrastructure-as-code experience (e.g., Terraform).
• Containerization knowledge (Docker/Kubernetes).
• Exposure to data science workflows or ML model integration.
• Strategic, systems-level thinking with strong architecture and design capabilities
• Strong communication, influence, and leadership skills across technical and non-technical groups
• Proven ability to guide cross-functional teams toward alignment and shared standards
• Strong problem-solving and decision-making skills, including evaluating tradeoffs.

What else do you need to know?

• Hybrid
• Excellent benefits package medical & dental, vision insurance, life insurance, short-term and long-term disability insurance.
• Parental Leave Policy
• 401K Company Match
• PTO Plan Paid Company determined Holidays.

**Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity**

All offers are contingent upon a successful background investigation (including employment, education, criminal and DMV verification- when applicable) and a pre-employment drug test with results satisfactory to GAINSCO.

GAINSCO is an Equal Employment Opportunity Employer