Job Purpose

We are seeking a highly skilled and experienced Data Management Engineer with a focus on the Informatica platform, specializing in Data Catalog, Data Profile, and Data Quality. The ideal candidate should have a strong background in data governance projects and possess the technical expertise to ensure effective data management throughout the organization.

Key Responsibilities

·         Demonstrate advanced proficiency in the Informatica platform, with a focus on Data Catalog, Data Profile, and Data Quality components.

·         Configure, optimize, and maintain Informatica tools to enhance overall data management capabilities.

·         Collaborate with cross-functional teams to establish and enforce data quality standards across the organization.

·         Conduct thorough data profiling to assess the quality, completeness, and accuracy of datasets.

·         Design, implement, and monitor data quality processes to proactively identify and rectify data issues and utilize Informatica tools for in-depth analysis of data structures.

·         Link data dictionary entries to data quality assessments for a holistic view of data understanding and quality.

·         Understand how to configure the Informatica Data Catalog to initialize a new metadata repository or update an existing one.

·         Ability to initiate database scans to discover and catalog various objects such as tables, views, columns, and indexes.

·         Ability to leverage scanning results to map data lineage, illustrating the flow of data between different database objects.

·         Facilitate discussions and feedback loops among users to clarify and enhance data definitions.

·         Set up approval workflows for updates to critical data dictionary entries.

·         Involve data stewards and subject-matter experts in the approval process to maintain data accuracy.

·         Act as a key contributor to data governance initiatives, providing analytical insights and technical guidance.

·         Work closely with data analysts, and business stakeholders to understand data requirements and challenges.