Who we are
Artmac Soft is a technology consulting and serviceoriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description:
Job Title : Informatica CDGC Data Governance Architect
Job Type : C2C
Experience : 12 to 15 years
Location : Cincinnati Ohio (Remote)
Responsibilities:
- Architect and Deploy: Design and implement a comprehensive metadata management framework using Informatica CDGC ensuring integration with existing systems and workflows.
- Performance expectations: Design and manage multiple project initiatives to optimize and maintain high availability.
- Establish Data Lineage: Lead efforts to map and document data flow across systems enabling transparency and reliability for businesscritical operations.
- Leverage AI & Automation: Utilize CLAIRE to create AIpowered data quality reports enhancing exploratory data profiling and delivering actionable insights.
- Standardize Data Quality: Develop and enforce data quality standards including implementing GEspecific data quality rules and monitoring ongoing compliance.
- Drive Innovation: Evaluate and recommend emerging tools and practices in data fabric technologies integrating them for organizational benefit.
- Collaborate CrossFunctionally: Work with data engineers business analysts and stakeholders to align technical solutions with business objectives.
- Lead with Expertise: Provide mentorship and technical guidance to team members fostering a culture of innovation and accountability.
Required Skills and Experience:
- Informatica CDGC/EDC Expertise: Handson experience configuring and optimizing Informatica CDGC EDC AXON with a strong understanding of its advanced features.
- Technical Depth: Proficiency in scripting or programming languages (e.g. Python Java or SQL) for custom rule implementation and automation.
- Data Governance: Deep knowledge of metadata and data lineage frameworks and their role in enterprise data management.
- AI and Automation Knowledge: Familiarity with CLAIRE and similar AI tools to automate and enhance data quality initiatives.
- Strategic ProblemSolving: Ability to identify and address complex data issues proactively driving longterm resolutions.
- Strong Leadership: Proven track record in leading technical teams with the ability to manage competing priorities and timelines.
Preferred Qualifications:
- Experience with other data governance/catalog tools is a plus.
- Background in building or working within an AI Data Fabric or data mesh environment.
- Understanding of cloudbased data ecosystems (AWS Azure GCP).
Qualification:
- Bachelors degree or equivalent combination of education and experience.