Business Intelligence Developer
North Dallas Campus, United States
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.
Brief Overview of Position
We are looking for a highly technical and hands-on Business Intelligence (BI) Developer to design and maintain domain-oriented data marts within our enterprise data warehouse. This role is critical to enabling self-service BI, advanced analytics, and AI/ML use cases across the organization. You will work on complex data challenges, collaborate with cross-functional teams, and play a key role in shaping the future of data and analytics at the bank. This is an exciting opportunity to combine your technical expertise and business acumen to impact decision-making across the organization.
Responsibilities
Partner closely with data engineers to design and maintain dimensional data models (e.g., star schema, snowflake schema) in the presentation layer, tailoring datasets to support BI and advanced analytics
Develop and implement robust data transformations using SQL and tools like Coalesce to deliver modular and scalable data marts optimized for self-service, reporting, and analytics
Develop efficient, reliable ETL/ELT workflows in Snowflake to automate data ingestion, transformation, and delivery for analytical use cases
Advocate for and help implement modern practices like data observability, CI/CD for data pipelines, and testing frameworks to enhance the reliability of analytics solutions, including automated data validation checks
Contribute to the development and enhancement of dashboards and reports for critical use cases
Partner with data engineers to diagnose and resolve issues related to data pipelines, ETL/ELT processes, and data mart performance
Maintain thorough technical documentation for data pipelines, transformation logic, and data mart designs
Use version control systems (e.g., Git) to track changes and ensure consistency across deployments
Contribute to advanced analytics initiatives by preparing domain-oriented datasets and/or feature stores for AI/ML, predictive modeling, and other use cases
Embed outputs from analytics models into BI dashboards or other operational reporting workflows
Actively participate in team knowledge-sharing sessions, code reviews, and retrospectives to foster a collaborative and high-performing engineering culture
Qualifications
Bachelor’s degree in Computer Science, Data Science, Data Engineering, Information Systems, Mathematics, or a related field (Master’s preferred)
Minimum of 7 years of experience in analytics engineering, data engineering, or a related technical field
Strong understanding of data warehouse concepts and modern enterprise data architectures
Advanced SQL skills with the ability to write, optimize, and troubleshoot complex queries in Snowflake. Familiarity with Snowflake-specific features, such as time travel, zero-copy cloning, data sharing, and materialized views, is preferred
Hands-on experience with Coalesce, dbt, or similar tools for managing robust SQL-based transformations and creating reusable, modular data models
Familiarity with building, scheduling, and monitoring ETL/ELT workflows using tools like Airflow, or similar orchestration platforms
Strong understanding of dimensional modeling concepts (e.g., star schema, snowflake schema) and their application to scalable and user-friendly data marts; knowledge of Data Vault 2.0 is a plus
Strong proficiency in Power BI for building and validating dashboards, and optimizing datasets and/or queries for reporting
Proficiency in Python for scripting and automation is highly preferred
Experience implementing data validation checks and quality assurance processes to ensure the accuracy, reliability, and consistency of datasets
Experience integrating predictive model outputs into analytics workflows and/or BI solutions is preferred
Strong knowledge of data governance principles and tooling; experience with Collibra is a plus
Strong problem-solving skills and ability to debug complex workflows and/or pipelines
Excellent communication skills and ability to translate technical information to a non-technical audience
Ability to manage competing priorities on complex projects, initiatives, and deliverables
Experience working in Agile or Scrum environments
Familiarity with version control systems like Git and experience using collaboration tools such as Jira, Confluence, or 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture Azure Business Intelligence CI/CD Classification Computer Science Confluence Data governance Data pipelines Data warehouse dbt DevOps ELT Engineering ETL Git Jira Machine Learning Mathematics Pipelines Power BI Predictive modeling Python Scrum Snowflake SQL Testing
Perks/benefits: 401(k) matching Fertility benefits Flex vacation Health care Insurance Wellness
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