Data Architect

Data Architect

Job Posting

Title:

Data Architect

• Hiring Department: Data to Insights
• Position Open To: All Applicants
• Weekly Scheduled
  
  Hours:
  
  40
• FLSA Status: Exempt
• Earliest
  
  Start Date:
  
  Immediately
• Position Duration: Expected to Continue Until Aug 31, 2026
• Location: Texas

The Data to Insights (D2I) Initiative at UT Austin is an investment to build a trusted, integrated, and scalable information infrastructure that transforms complex UT data into valued insights for data-informed decisions.

As a team member in the Data to Insights (D2I) Initiative, you will work with a cross-campus team using the latest cloud technologies to build a next-generation data ecosystem that will improve decision-making and advance the university's mission. We believe the best ideas arise from collaborative work among colleagues from varied backgrounds and experiences. If you're the type of person who loves to learn and wants to know your work has meaning, you may find your career home at UT Austin.

Please note this position is currently funded through August 31, 2026.

The University of Texas at Austin provides an outstanding benefits package to staff, including:

• Competitive health benefits (Employee premiums covered at 100%; family premiums at 50%)
• Vision, dental, life, and disability insurance options
• Paid vacation, sick leave, and holidays
• Teachers Retirement System of Texas (a defined benefit retirement plan)
• Additional voluntary retirement programs: tax sheltered annuity 403(b) and a deferred compensation program 457(b)
• Flexible spending account options for medical and childcare expenses
• Training and conference opportunities
• Tuition assistance
• Athletic ticket discounts
• Access to UT Austin's libraries and museums
• Free rides on all UT Shuttle and Capital Metro buses with staff

For more details, please see: (Use the "Apply for this Job" box below). and -rewards

This position requires you to maintain internet service and a mobile phone with voice and data plans to be used when required for work.

This position provides life/work balance with typically a 40-hour work week and travel generally limited to training (e.g., conferences/courses).

The Data Architect will play a key role in designing, implementing, and scaling cloud-based data architectures within our AWS environment. As we implement Databricks, this role will focus on modernizing our unified data platform to enable advanced analytics, machine learning, and real-time data processing.

This position will collaborate closely with Data Engineering, Dev Ops, Data Modeling, Analytics, and Metadata teams to ensure scalable, efficient, and well-governed data solutions. Partnering with the Chief Enterprise Data Architect, you will drive data strategy, architecture, and implementation that align with our business.

Cloud Data Architecture

• Design and implement robust, scalable, and secure AWS-based data architectures with a focus on Databricks adoption.
• Partner with the Analytics and Data Modeling Group to ensure alignment on data modeling standards, schema design, and integration with data pipelines.
• Architect efficient ETL/ELT pipelines for data ingestion, transformation, and delivery, supporting operational and analytical workloads.
• Develop and maintain comprehensive data strategies that align with enterprise goals, enabling real-time and batch data processing.
• Create technical artifacts, standards, and architectural frameworks to address current and future business requirements.
• Ensure data quality, governance, and compliance throughout the data lifecycle.

Databricks Implementation and Leadership

• Lead the implementation and optimization of Databricks for advanced data engineering, analytics, and machine learning workloads.
• Drive the adoption of Delta Lake architectures for high-performance data pipelines.
• Develop and operationalize scalable architectures for collaborative notebooks, machine learning workflows, and real-time processing.

Collaboration and Innovation

• Collaborate with Data Engineering, Dev Ops, Data Modeling, Analytics, and Metadata teams to align on architectural decisions, standards, and processes.
• Serve as a…