Enterprise Data Architect

About GAINSCO

Founded in 1978, GAINSCO offers property and casualty insurance with an emphasis on non-standard personal auto policies. It serves drivers nationwide by providing minimum-limits personal auto coverage, making insurance more accessible to a broader market. In 2020, GAINSCO, Inc. and its subsidiaries were acquired, making a significant milestone that strengthened GAINSCO’s ability to grow and expand its reach in the personal auto industry market while continuing to build on its decades of specialized expertise.

Join a team that is dedicated to supporting your professional growth and long-term success.

Who We Are

At GAINSCO, we are a team driven by passion, creativity, and a commitment to excellence. We celebrate achievements, encourage innovative thinking, and recognize the unique strengths each person brings. Our people truly set us apart. If you’re seeking a company where your contributions are valued, your efforts have a visible impact, and your dedication is recognized, take the next step in your career with us.

GAINSCO is seeking an Enterprise Data Architect to define and govern our enterprise‑wide data and analytics architecture strategy. As a recognized subject matter expert, you will establish the long‑term vision, standards, reference models, and architectural patterns that guide how data is ingested, integrated, stored, modeled, governed, and delivered across the organization. You will partner with business leaders, Data Engineering, Analytics, Security, and Governance teams to design and implement scalable, secure, and reusable data solutions.

This role will guide modernization, shape enterprise data products, and present new or revised architecture standards to senior leadership to support a more optimized, secure, and stable data environment.

What does an Enterprise Data Architect do?

• Define and govern the enterprise data architecture vision, principles, roadmaps, reference models, and design standards.
• Design scalable, secure, and resilient enterprise data platforms using Snowflake, Azure Data Factory, Azure Data Lake, Azure Synapse, SQL Server, Kafka, and cloud‑agnostic technologies.
• Establish solution patterns for batch, streaming, real‑time, and event‑driven data pipelines that support analytics and operational use cases.
• Lead conceptual, logical, and physical data modeling strategies to strengthen consistency, performance, and reuse.
• Set architecture and governance standards for metadata, lineage, data quality, security, access controls, semantic models, enterprise datasets, and self‑service analytics.
• Provide design reviews and technical guidance to Data Engineering teams while driving modernization, platform optimization, cost efficiency, and reduction of technical debt.
• Communicate architecture direction, standards, and technical trade‑offs to senior leaders, engineers, analysts, and business stakeholders.
• Mentor junior architects and engineers while promoting consistent architecture practices across the organization..

What is required?

Education:

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

Experience:

• 10+ years of professional data engineering experience.
• 10+ years of experience in an enterprise Data Architect role, with responsibility for architecture strategy, standards, reference models, design patterns, or technical roadmaps.
• 5+ years of experience with Snowflake, Azure Data Factory, Azure Synapse, and SQL Server.
• 5+ years of experience with streaming, replication, or event‑driven data technologies, such as Kafka, Openflow, Snowpipe, or comparable platforms.
• 5+ years of experience with Power BI and Tableau, including enterprise reporting architecture, semantic modeling, dataset design, dashboard governance,…