Technical Data Governance Engineer

Global Data Governance (Financial Services)

Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets under management across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long‑term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk‑adjusted returns for our investors.

We're seeking a hands‑on Technical Data Governance Engineer to build, automate, and scale data governance across a global financial services environment on a Microsoft‑first stack:
Microsoft Purview, Microsoft Fabric, SQL Server, and Power BI. You will turn enterprise policy into automated, auditable controls covering cataloging, classification, lineage, and data quality for the data assets that matter most to the business and its regulators.

The role centers on the data governance capabilities of Purview: the data map, catalog, classification, glossary, lineage, data quality, scans, and support for data‑access governance. You will partner closely with data architecture, business data owners and stewards, analytics teams, and risk and compliance.

• Operationalize data governance: Implement enterprise policies for cataloging, classification, ownership, lineage, and quality as automated, enforceable controls across Purview, Fabric/One Lake, SQL Server, and Power BI.
• Coverage and classification at scale: Drive scan coverage and freshness across in‑scope sources, with reliable, automated classification of sensitive and critical data.
• End‑to‑end metadata and lineage: Establish automated technical metadata harvesting and lineage, and reconcile it with business lineage.
• Data quality at scale: Stand up scalable DQ rules, profiling, monitoring, and issue‑management workflows for critical data elements (CDEs) within Purview.
• Catalog trust and adoption: Make the catalog the trusted source of truth, with a curated glossary, clear ownership and stewardship, quality scores, and certified data products.
• Regulatory readiness: Enable data‑lineage, ownership, and quality evidence for BCBS 239, GDPR/CCPA, SOX, and internal audits.

• Configure and administer Purview data governance: data map, catalog, glossary, classifications, data‑access governance, and scans and integrations across SQL Server, Fabric/One Lake, and Power BI.
• Drive and monitor scan coverage and freshness; configure and automate scans and onboarding of new sources using Purview APIs and SDKs.
• Design and tune classification: custom classification rules, sensitivity and criticality tagging, and reconciliation against the business glossary.
• Build and maintain technical lineage (SQL Server to Fabric Pipelines/Notebooks to Lakehouse/Delta/Parquet to Power BI/semantic models), using APIs where needed, and reconcile with business lineage.
• Design and implement DQ frameworks (profiling, monitoring, and alerting) and reusable rule libraries and standards for CDEs, for data product teams to embed in their own pipelines.
• Build DQ scorecards and dashboards tracking quality KPIs across domains.
• Establish issue‑management workflows for exceptions, including root‑cause analysis and remediation SLAs.
• Partner with stewards to define DQ dimensions (accuracy, completeness, timeliness, consistency) and enforce standards.
• Maintain DQ metadata in Purview, aligned with the business glossary and technical lineage.
• Support catalog curation and stewardship: glossary curation, steward workflows, ownership assignment, quality scores, and dataset certification; coach stewards and data‑product owners.
• Define governance standards, reusable rule and policy definitions, and guardrails that data product teams embed into their own pipelines; advise on how to operationalize them.
• Create governance‑health dashboards: coverage, scan freshness, lineage completeness, DQ defects, classification coverage, ownership completeness, and access‑review status.
• Interface with business units to…