Systems Analyst III Data Eng & Data Gov

MMC Group•Austin, TX

15h•Hybrid

About The Position

Our client is seeking a highly experienced Systems Analyst III to support enterprise Data Engineering and Data Governance initiatives within a large-scale environment. This role requires a senior-level professional who can operate independently, analyze complex business and technical requirements, and deliver scalable data solutions. The ideal candidate brings deep expertise in Informatica platforms, Master Data Management (MDM), and Data Quality frameworks, along with the ability to translate business needs into effective technical solutions. The role operates with a high degree of autonomy, leveraging 8+ years of experience to plan, design, and deliver complex solutions. It involves leading the analysis of business objectives, identifying solution alternatives, and performing cost-benefit evaluations. The position requires cross-functional collaboration with business and technical teams to optimize data processes and system performance, with a focus on governance, quality, and scalability.

Requirements

10+ years of experience with Informatica tools, including: PowerCenter, IICS, IDMC, MDM, Axon, EDC, IDQ, Customer360, Supplier360, Entity360
10+ years of experience establishing Master Data and Reference Data within large organizations
Strong experience implementing data quality rules using Informatica Data Quality (IDQ)
Proven ability to work independently on complex initiatives with minimal oversight

Nice To Haves

Experience working with enterprise-scale datasets in Snowflake (4+ years preferred)
Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience
Master's degree or additional years of experience preferred
Experience in healthcare or public health environments
Prior experience working within a state agency or government setting
Experience with Python scripting for automation and API integration

Responsibilities

Analyze business objectives, workflows, and system requirements to identify improvement opportunities.
Conduct detailed studies and cost-benefit analyses of alternative solutions.
Collaborate with stakeholders to understand current processes and define future-state requirements.
Develop detailed functional and technical specifications for system enhancements and new solutions.
Document user requirements, program functions, and development steps.
Evaluate system capabilities, constraints, and feasibility of proposed changes.
Support enterprise data initiatives related to Data Engineering and Data Governance (SHARP environment).
Contribute to data standardization, master data management, and data quality frameworks.
Ensure alignment with enterprise data policies and governance models.