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DBA/Data Warehouse & Pipeline Architect

University of PittsburghPittsburgh, PA🇺🇸United StatesPosted 12 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to architect and implement data solutions that directly impact health sciences research, fostering significant skills development in data warehousing and pipeline design. You'll thrive here if you enjoy solving complex data challenges for diverse research groups and are adept at optimizing database performance, contributing to a collaborative team environment. Don't miss the chance to advance your career with this impactful position!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Health Sciences Research IT is seeking a DBA/Data Warehouse & Pipeline Architect to join our team serving the schools of the health sciences. The candidate will work with other team members and research groups to design pipelines for data ingestion/transformation and implement the designs and execute them. This will be for ingesting thousands of files and others single large files in various formats. They will help support a large number of different research groups on many projects. The candidate will support work with the project teams to understand the data query requirements to optimize query performance with indices/views/functions etc. and be able to create analytic files based on specifications provided. The candidate must understand data warehousing concepts. The candidate will be responsible for DBA functions as well such as permissions, optimization, query optimization, performance monitoring, etc. Our team has a great mix of junior and experienced people.
Required Qualifications
  • Strong understanding of data warehousing concepts and architecture
  • Experience designing and implementing data ingestion and transformation pipelines
  • Hands-on experience with SQL performance tuning, including: Query optimization, Indexes, views, and functions, & Performance monitoring
  • Experience supporting multiple stakeholders and research projects simultaneously
  • Ability to translate data and query requirements into efficient database designs
  • Experience creating analytic datasets/files from specifications

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