Platform Engineer

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 Go Banking Rate 's 2023 list of Best Regional Banks. For more information about joining our team, please visit us at

Data Reliability Engineer

Responsibilities

* Configure and maintain data pipelines, observability tooling, and reliability frameworks within assigned data platforms and products.

* Participate in gathering business requirements and defining technical requirements for data quality, reliability, and availability solutions.

* Design and implement data integrations across multiple vendor-hosted and cloud data platforms, leveraging APIs, event-driven architectures, and custom-developed pipeline solutions.

* Administer data access security roles and profiles, including creating new roles, managing data governance policies, and enforcing prescribed data access permissions.

* Design operational data workflows and propose areas for process optimization, including SLA/SLO definition and data freshness monitoring.

* Perform new feature exploration of data platforms and tooling to determine feature-fit for strategic and tactical data reliability program activities.

* Provide business and IT support for data platform and pipeline-related incidents, including root cause analysis and collaborating with multiple teams across TCB.

* Configure or develop low-code and code-first solutions leveraging vendor data platforms to improve data reliability and reduce time-to-detection on data incidents.

* Document and implement change control, and follow best practices for data system maintenance, configuration, development, testing, and migration.

* Knowledge on modern Databases like Snowflake, RDS, Aurora, Document DB.

* Perform operational tasks such as monitoring data pipeline performance, data quality metrics, and anomaly detection, and implement solutions for reliability improvements.

* Collaborate with data engineering, analytics, and platform teams for the development, support, and continuous improvement of data reliability capabilities.

* Follow software engineering and Data Ops practices to develop automation solutions for manual data validation, reconciliation, and incident response processes.

* Champion implementation of innovative data reliability technologies, inclusive problem-solving approaches, outside-of-the-box thinking, teamwork, self-organization, and diversity.

Qualifications

* Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field.

* Minimum 3 years of relevant experience in data engineering, data operations, or a related data technology domain.

* Foundational knowledge of the practical application of data engineering principles, including data pipeline design, data modeling, and implementation of data reliability frameworks.

* Foundational knowledge and understanding of diverse data platforms and ecosystems, including relational databases, cloud data warehouses (e.g., Snowflake, Redshift), and streaming platforms (e.g., Kafka).

* Ability to obtain, analyze, and synthesize information from multiple data sources to identify reliability gaps, data quality issues, and systemic risks.

* Ability to utilize industry-standard project management, work management, and reporting tools in a data-driven delivery context.

* Analytical mindset focused on results, with strong critical thinking, root cause analysis, and data-driven problem-solving and decision-making skills.

* Proficiency in organization and time management skills with a proven track record of meeting incident response and project delivery deadlines.

* Proficiency in written and verbal communication skills, alongside strong data interpretation and visualization skills to convey reliability metrics and trends to stakeholders.

* Proficiency in…