Enterprise Data Architect

GAINSCO • Richardson, TX

2d • Hybrid

About The Position

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.

Requirements

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

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees