Data Engineering Manager

Responsibilities Practical application of engineering science and technology, including applying principles, techniques, procedures, and equipment to the design and implementation of data warehouse and advanced analytical applications Responsible for enhancing and maintaining TC’s data warehouse and analytical platforms Support the engineering needs associated with advanced analytical capabilities (machine learning, predictive modeling, artificial intelligence) Leverage debugging and testing processes and protocols to finalize code Perform new feature exploration of each solution to determine feature‑fit for strategic and tactical program activities Address planned and unplanned production issues, coordination, maintenance, communication and business support Document and implement change control and best practices with regards to system maintenance, configuration, development, testing, and data integrity Perform operations tasks such as monitoring application performance Collaborate with other members of the engineering team to design new features Identify areas for process and efficiency improvement Perpetual improvement of data engineering practices to automate manual processes Partner with PMO team to run the Agile processes Lead the craftsmanship, availability, resilience, and scalability of your solutions Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Encourage innovation, implementation of cutting‑edge technologies, inclusion, outside‑of‑the‑box thinking, teamwork, self‑organization, and diversity Qualifications Minimum 10 years relevant experience in an appropriate technology domain Bachelor’s degree in Computer Science, Engineering, Information Systems or Technology, or related field Advanced knowledge of the practical application of engineering science and technology, including data management principles, techniques, procedures, and equipment to the design and implementation of products Advanced understanding of SQL, hands‑on coding of one or more big data programming languages (Scala, Python, etc.) Advanced knowledge and understanding of diverse data platforms, operating systems, cloud solutions, current and emerging technologies Advanced knowledge of data governance practices Subject Matter Expertise (SME) on three or more platforms in appropriate technology domain Ability to obtain, analyze and synthesize information from multiple sources Ability to provide guidance and solution design principles to all engineers Ability to utilize industry‑standard project management, work management and reporting software Analytical mindset, focused on results with critical thinking, research and problem‑solving, and decision‑making skills Proficiency in organization and time management skills with proven track record of meeting various deadlines Proficiency in written and verbal presentation skills alongside strong data interpretation and visualization skills Proficiency in the use of broader MS Office suite (Outlook, Teams, Word, PowerPoint, Excel, Project, Visio, SQL Server Management Studio, SSIS, SSRS, Visual Studio, Power BI) Knowledge of architecture and development of modern data ecosystem; streaming, batch, data modeling, and storage, analytical solutions Ability to drive technology updates and implementations across data platforms Ability to provide end‑to‑end solutions for LOBs Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy. Texas Capital is an Equal Opportunity Employer. #J-18808-Ljbffr