Data Architect

Design and implement data architectures that align with business needs and technical requirements.

• Develop and maintain data models, data warehouses, data lakes, and other data storage solutions.

• Work with development team to standardize ETL / ELT processes to ensure high-quality and accurate data flow across systems.

• Collaborate with stakeholders to understand data requirements and translate them into scalable data architecture solutions.

• Work with others to ensure data governance, quality, security, and compliance standards are met for all data systems.

• Evaluate and recommend appropriate database technologies, tools, and platforms (e.g., relational, NoSQL, cloud data storage, etc.).

• Create and maintain documentation for data architecture, data flow, and data management processes.

• Monitor data system performance, identify issues, and optimize processes for efficiency and scalability.

• Stay up to date with emerging data technologies and industry trends to continuously improve the data infrastructure.

• Other duties may be assigned.

Technology team in Fort Worth follows a hybrid model where employees work in-office Tuesday through Thursday. Employees have the flexibility to work remotely on Mondays and Fridays. This schedule is subject to change based on organizational needs and policies.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field.

• Proven experience in data architecture, data engineering, or related roles.

• Strong expertise in database technologies and data modeling.

• Proficiency in designing and implementing ETL pipelines and working with data integration tools.

• Knowledge of data governance, data privacy regulations, and best practices in data management.

• Experience with data visualization tools and business intelligence software (e.g., Tableau, Power BI).

• Strong analytical, problem-solving, and troubleshooting skills.

• Familiarity with investment management platforms, reference data and vendor landscape a plus.

• Excellent communication, organizational and collaboration skills to work with cross-functional teams