Full-Time

Data Architect

University of Texas at Austin

University of Texas at Austin

Compensation Overview

$120k - $138k/yr

Company Does Not Provide H1B Sponsorship

Texas, USA

Remote

Fully remote option available; some in-office presence in Austin, TX as needed.

Category
Data & Analytics (1)
Required Skills
Redshift
NoSQL
SQL
Machine Learning
ETL
AWS
Informatica
Data Governance
Databricks
Requirements
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.
  • Proven experience designing and implementing enterprise-scale data architectures in AWS environments.
  • Strong expertise in data modeling, schema design, and database structures, with experience working closely with modeling teams.
  • Hands-on experience with Databricks for big data processing, analytics, and machine learning.
  • Proficiency in building ETL/ELT pipelines and working with data integration tools (e.g., AWS Glue, Informatica).
  • Deep understanding of SQL, NoSQL, and data storage technologies (e.g., Redshift, RDS, S3).
  • Experience ensuring data governance, quality, and compliance.
  • Strong troubleshooting skills and ability to optimize performance of cloud data solutions.
  • Collaborative team player with excellent communication and leadership skills.
  • Relevant education and experience may be substituted as appropriate.
Responsibilities
  • 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.
  • 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.
  • Collaborate with Data Engineering, DevOps, Data Modeling, Analytics, and Metadata teams to align on architectural decisions, standards, and processes.
  • Serve as a technical advisor to stakeholders, effectively communicating complex data concepts to leadership and cross-functional teams.
  • Foster a culture of collaboration, innovation, and continuous improvement within the team.
Desired Qualifications
  • Master’s degree in a relevant field.
  • Certifications in AWS (e.g., AWS Solutions Architect) and Databricks (e.g., Databricks Certified Professional).
  • Expertise in Delta Lake architecture design and implementation.
  • Familiarity with Agile development methodologies and tools (e.g., JIRA, Confluence).
  • Proven experience leading data modernization initiatives across cross-functional teams.
University of Texas at Austin

University of Texas at Austin

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