R_00031904

Data Architect

Purpose

The Data Architect works closely with the Chief Enterprise Data Architect to augment data architecture and management, increase capacity for complex projects, and improve overall alignment with business objectives. The Data Architect leverages their creativity to solve complex problems and build effective relationships through open communication.

Responsibilities

Data Architecture:

• Cloud Architecture and Data Strategy

• Design and implement robust and scalable cloud-based data solutions, to meet executive priorities.
• Develop and maintain a comprehensive data strategy that aligns with enterprise goals.

• Documentation, Standards and Best Practices

• Develop and implement standards and best practices related to data architecture, under the supervision and guidance of the Chief Enterprise Data Architect.
• Manage architectural standards for the AWS cloud-based UT Data Hub and Integration Hub.
• Ensure data management processes meet compliance, quality, and efficiency standards.
• Create and deliver artifacts, technical documents, and architectural designs that align with business needs.

• Technology Evaluation and Implementation

• Research and and recommend new technologies to enhance our data capabilities.
• Lead proof-of-concept projects to assess new data technologies and tools.
• Stay abreast of industry trends and advancements in data architecture and cloud technologies.

Communication & Collaboration:

• Work closely with D2I Analytics, Functional and Technical teams, Data Modeling Group, Major Programs, and operational areas, as well as with campus partners to ensure alignment on architectural decisions and standards.

Perform other duties as assigned

Required Qualifications

• BS degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
• Proven experience in data architecture, preferably in a large enterprise environment.
• Strong expertise in AWS cloud services and solutions (e.g., S3, Glue, AWS Data Pipeline).
• Proficient in data modeling and designing scalable, high-performance data architectures.
• Knowledge of ETL (Extract, Transform, Load) processes and data integration tools (e.g., Informatica, AWS Glue)
• Familiarity with SQL and NoSQL databases.
• Solid understanding of database design and data structures.
• Proficient in cloud data architectures.
• Strong aptitude for troubleshooting and problem-solving
• Team player, comfortable communicating cross-functionally and across management levels.
• Self-motivated and able to organize work independently in a rapidly changing environment.
• Relevant education and experience may be substituted as appropriate.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

• Master s degree in a relevant field
• Certifications in AWS and other cloud technologies
• Experience with big data technologies (e.g., Hadoop, Spark)
• Familiarity with data governance and compliance requirements
• Knowledge of Agile software development methodologies (Kanban, Scrum).
• Experience with issue tracking systems (JIRA).

Salary Range

$120,000 - $138,000

For a detailed description and to apply for this position, please visit our online job application system at:

_R_00031904?q=data etl engineer