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
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