Hybrid (Austin, TX)

Onset•Austin, TX

1d•Hybrid

About The Position

The consultant will work closely with business and technical teams to understand data-related challenges, define solutions, and implement data governance frameworks. This role requires deep expertise in Informatica tools, strong analytical skills, and experience working with large enterprise data environments.

Requirements

10+ years of experience with Informatica tools (PowerCenter, IICS, IDMC, MDM, Axon, EDC, IDQ, Customer360, Supplier360, Entity360)
10+ years of experience implementing Master Data Management (MDM) and Reference Data solutions
Strong experience implementing data quality rules using Informatica Data Quality (IDQ)
Strong understanding of data governance frameworks and best practices
Experience analyzing business requirements and translating them into technical solutions
Strong SQL and data analysis skills
Must be eligible to work in the U.S. without sponsorship.
Must be able to work onsite in Austin, TX (3 days/week required)

Nice To Haves

Experience working with large-scale data platforms such as Snowflake
Experience with Python scripting for automation and API integration
Experience in healthcare or public health environments
Experience working with state agencies or government organizations
Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
Master’s degree or additional relevant experience is a plus

Responsibilities

Support Data Engineering and Data Governance initiatives within the SHARP environment
Analyze business requirements and translate them into data governance and MDM solutions
Design, develop, and implement Master Data and Reference Data solutions
Establish and enforce data quality rules using Informatica Data Quality (IDQ)
Work with stakeholders to define data standards, policies, and governance frameworks
Perform data analysis and profiling to improve data integrity and consistency
Collaborate with cross-functional teams to integrate data across systems
Develop and maintain technical and functional documentation
Conduct system analysis, feasibility studies, and cost/benefit analysis
Support automation efforts using scripting (e.g., Python) and APIs
Ensure data readiness and integrity for downstream applications and reporting