Analytics Engineer Manager

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people’s success — today and tomorrow.  

While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment — investing the time and resources to understand our clients’ immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success. We build long-lasting relationships. 

Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO). 

Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News’ Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate’s 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com. 

Responsibilities

• Collaborate with business stakeholders to identify high-impact data opportunities and translate them into scalable reporting and analytics solutions
• Design and implement scalable, reusable data marts, feature stores, and curated datasets within the Enterprise Data Warehouse (EDW), optimized for BI, reporting, and AI/ML use cases
• Develop and maintain robust data pipelines and transformation workflows using modern tools (e.g., dbt, Coalesce, Airflow)
• Refine and develop dashboards and reports in collaboration with other developers and business users, ensuring they meet evolving business needs and data quality standards
• Build and support lightweight web applications using tools like Streamlit or Posit Connect to deliver interactive analytics experiences beyond traditional dashboards
• Enable business teams by delivering clean, well-documented, and performant data models that support self-service analytics and dashboarding
• Contribute production-grade code and lead by example in code reviews, testing, and documentation
• Mentor and support junior team members in best practices for data modeling, pipeline development, and analytics enablement
• Ensure data quality and governance through validation frameworks, lineage tracking, and collaboration with data governance teams
• Drive adoption of modern data engineering practices, including modular development, CI/CD, and version control
• Maintain clear documentation of data models, transformations, and workflows to support transparency and scalability

Qualifications

• 10+ years of experience in analytics engineering, data engineering, or BI development, with at least 2 years in a technical leadership or managerial role (experience in financial services and/or banking is strongly preferred)
• Bachelor’s degree in Data Science, Computer Science, Data Analytics, Information Systems, Mathematics, or a related field (Master’s preferred)
• Deep expertise in modern data warehouse architectures and dimensional modeling (e.g., star schema, snowflake schema); familiarity with Data Vault 2.0 is a plus
• Expert-level SQL skills and strong proficiency in Python for data transformation, automation, and analytics workflows
• Experience with data transformation tools such as dbt or Coalesce, and orchestration tools like Airflow
• Strong working knowledge of Power BI or similar tools for dashboard development and data visualization
• Experience developing and deploying interactive data applications using tools such as Streamlit, Shiny, or Posit Connect
• Experience with version control (e.g., Git) and CI/CD practices for data pipelines and analytics workflows
• Strong business acumen with the ability to translate complex data into actionable insights for non-technical stakeholders
• Experience working in cloud-based data environments and familiarity with platforms such as Azure, AWS, or GCP
• Awareness of data privacy, security, visibility / entitlement, and compliance requirements (e.g., SEC, FINRA, GDPR) in financial services
• Strong communication and stakeholder management skills, with a track record of mentoring and developing team members
• Experience working in Agile environments and using tools like Azure DevOps

The duties listed above are the essential functions, or fundamental duties within the job classification.  The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.