KPMG Romania

Data Governance Engineer (Informatica IDMC) @ KPMG | Build trusted data foundations
Passionate about data, governance and modern cloud platforms, and ready to own data governance workstreams end-to-end?
We are looking for a
Data Governance Engineer (Informatica IDMC)
to join our Data &amp; Analytics team. You will support enterprise Data Governance initiatives, translating business needs into effective Informatica IDMC solutions and helping organizations improve data quality, transparency, ownership and trust through modern data management practices.
The Blueprint of your Role
<ul>
<li>GCA Family &amp; Sub-family: Data Engineering – Data Architecture and Big Data Engineering</li>
<li>Career Level: Level 5 – Senior Team Member 1</li>
</ul>
Why join us?
<ul>
<li>Clarity (GCA): You have a well-defined career path. You’ll know exactly where you stand and what steps you need to take to grow within the team.</li>
<li>Fair Evaluation (Korn Ferry): We don’t rely on subjective opinions. We use a global methodology that helps you understand your potential and develop accordingly.</li>
<li>Smart Working: We try to automate repetitive processes as much as possible using data analytics tools, so we can focus on the things that actually matter.</li>
</ul>
What will you actually do?
You will be responsible for implementing and supporting Data Governance capabilities on Informatica IDMC across Data Catalog, Data Lineage, Metadata Management and Data Quality, working closely with business and technology stakeholders.
Core Responsibilities
<ul>
<li>Data Governance frameworks &amp; policies: Support the implementation and operationalization of Data Governance frameworks, policies, standards and operating models across business functions and technology teams.</li>
<li>Informatica IDMC configuration &amp; operations: Configure, administer and maintain Informatica IDMC components, including Data Catalog, Data Quality and Data Integration, ensuring reliable and scalable data governance capabilities.</li>
<li>Business glossary, metadata &amp; lineage: Build and maintain business glossaries, metadata repositories and data lineage views in Informatica IDMC; ensure definitions, relationships and lineage remain accurate and up to date.</li>
<li>Data quality rules &amp; KPIs: Define, implement and monitor Data Quality rules, controls and KPIs for critical datasets, and support remediation of data quality issues with business and technical teams.</li>
<li>Critical Data Elements &amp; stewardship: Assist Data Owners and Data Stewards in identifying, defining and managing Critical Data Elements (CDEs), including ownership, stewardship responsibilities and governance workflows.</li>
<li>Data discovery &amp; classification: Support data discovery and classification activities (e.g. sensitivity, domain, usage), helping business and technology users understand where data resides and how it should be managed.</li>
<li>Cloud data platforms &amp; integration: Contribute to data integration and governance-related initiatives within cloud data platforms (e.g. Azure, Snowflake, Databricks, Synapse, Fabric, AWS, GCP), ensuring metadata, lineage and quality coverage across the data landscape.</li>
<li>Testing &amp; validation: Define and execute test cases for data quality rules, catalog configurations, lineage and governance workflows, validating that solutions meet business and regulatory requirements.</li>
</ul>
Additional Responsibilities
<ul>
<li>User enablement &amp; support: Support Data Owners, Stewards and data consumers in using the Data Catalog, business glossaries, lineage and data quality dashboards; provide guidance and best practices.</li>
<li>Documentation &amp; standards: Document governance processes, data quality rule catalogs, metadata models and Informatica IDMC configurations to ensure consistency and repeatability.</li>
<li>Reporting &amp; insights: Help prepare dashboards or reports on data governance and data quality KPIs, providing insight into data fitness for use and areas for improvement.</li>
<li>Continuous improvement: Identify opportunities to enhance governance processes, tooling configurations and operating models based on usage patterns, feedback and emerging best practices.</li>
</ul>
Who are you?
You are a data professional with a solid foundation in data engineering and a strong interest in Data Governance, capable of helping organizations improve data quality, transparency, ownership and trust through Informatica IDMC and modern data management practices.
Mindset &amp; behaviors
<ul>
<li>Analytical &amp; structured: You can break down complex data landscapes and governance challenges into clear components and design practical, scalable solutions.</li>
<li>Data-quality &amp; risk-aware: You care about data accuracy, completeness, consistency and compliance, and understand the business impact of poor data quality.</li>
<li>Client-focused: You listen actively, ask the right questions and translate business requirements into clear governance and technical configurations.</li>
<li>Proactive &amp; accountable: You take ownership of your workstreams, anticipate issues early and drive them to resolution.</li>
<li>Collaborative team player: You enjoy working with cross-functional teams (business, data, IT) and share knowledge openly.</li>
<li>Adaptable &amp; mobile: You are open to traveling for project engagements, including international assignments when required.</li>
</ul>
Experience &amp; Background
<ul>
<li>Typically, 3+ years of experience in Data Governance, Data Management or Data Engineering, ideally in enterprise or consulting environments.
</li>
<li>At least 1 year of hands-on experience with Informatica IDMC (Intelligent Data Management Cloud).
</li>
<li>Data governance expertise:
</li>
<li>Good understanding of Data Governance principles and operating models.
</li>
<li>Experience with Data Catalog and Metadata Management concepts and practices.
</li>
<li>Practical knowledge of Data Lineage and Impact Analysis for analytical and operational systems.
</li>
<li>Understanding of Data Quality Management (profiling, rules, controls, KPIs) and issue remediation.
</li>
<li>Familiarity with Data Stewardship concepts (roles, responsibilities, workflows).
</li>
<li>Data engineering &amp; analytics:
</li>
<li>Strong SQL skills and ability to work with large datasets.
</li>
<li>Good understanding of data warehousing concepts (e.g. dimensional modeling, ETL/ELT patterns).
</li>
<li>Experience with at least one cloud data platform: Azure, Snowflake, Databricks, Synapse, Fabric, AWS or GCP.
</li>
</ul>
Tools &amp; methods
<ul>
<li>Hands-on experience configuring and using Informatica IDMC components (Data Governance &amp; Catalog, Data Quality, Data Integration) for enterprise data governance initiatives.</li>
<li>Experience designing and maintaining Business Glossaries, Metadata Repositories and Data Lineage capabilities within data catalog tools.</li>
<li>Ability to perform data profiling, define data quality rules and interpret data quality dashboards and reports.</li>
<li>Familiarity with basic integration concepts (e.g. connectors, API-based integrations) between governance tools and cloud data platforms.</li>
<li>Good command of Microsoft Office (Excel, PowerPoint, Word) for documentation, analysis and presentations.</li>
</ul>
Communication &amp; language
<ul>
<li>Strong communication and stakeholder engagement skills; able to work effectively with Data Owners, Stewards, IT and business users.</li>
<li>Fluent in English, both written and spoken; additional languages are a plus.</li>
<li>Able to explain data governance and technical concepts in clear, non-technical language to business stakeholders.</li>
</ul>
Nice to have
<ul>
<li>Experience with Informatica Data Quality and Informatica Data Governance &amp; Catalog modules, beyond core integration.</li>
<li>Familiarity with Python for data or metadata automation scripts.</li>
<li>Experience with API integrations between Informatica IDMC and cloud data platforms or other data management tools.</li>
<li>Exposure to industry data management frameworks (e.g. DAMA, DCAM) or regulatory requirements related to data (e.g. GDPR).</li>
</ul>
Benefits At a Glance
<ul>
<li>Collaborative &amp; multicultural environment: Work with diverse teams and clients across industries and geographies.</li>
<li>Flexible working: Hybrid working options and flexible hours to support work–life balance.</li>
<li>International projects &amp; growth: Exposure to international technology projects and strong opportunities for professional development and specialization.</li>
<li>Learning &amp; development: A culture that values initiative and continuous learning, with access to training, certifications and knowledge-sharing sessions.</li>
<li>Competitive package: Competitive salary and a comprehensive benefits package that supports your wellbeing.</li>
</ul>
Ready to help organizations trust their data in the digital era?
Apply now and let’s drive Data Governance transformations with Informatica IDMC together!
,

ID253615 Data Governance Engineer (Informatica IDMC)

ID253615 Data Governance Engineer (Informatica IDMC)

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