Equifax Offshore - Data ArchitectDesigns and implements the core data architecture for the Universal Context Layer - including lineage-graph schema, entity-resolution framework, ontology structures, semantic metadata in Knowledge Catalog, and governed access patterns on GCP. Focus on GCP Platform, Catalog Adoption & Access Enforcement (Knowledge Catalog migration, access rule engine, compliance testing).
Design the lineage-graph schema connecting data assets, features, APIs, scores, and business rules across the data estate
Lead the migration of existing governance / glossary metadata into Knowledge Catalog (Dataplex Universal Catalog) via the Collibra Edge connector, executed by domain and by region across a large estate (hundreds of pipelines, 50+ domains, multiple regions)
Populate and validate semantic metadata (business glossary, taxonomy, ontology) in Knowledge Catalog - leveraging agent-assisted auto-harvesting, then SME validation, to close a substantial metadata-coverage gap
Implement entity resolution and automated conflict detection across domain boundaries
Build end-to-end data-lineage pipelines from source systems through the context layer
Design and implement the access rule engine (Policy Decision Point pattern) for query-level authorization - jurisdiction rules, entitlements, permissible-use enforcement
Expose sources of truth as MCP services (API-to-MCP enablement via Apigee)
Architect context-layer storage using Spanner Graph, BigQuery, and Dataplex Universal Catalog
Design data-quality enforcement frameworks and define / enforce data-modeling standards across the ontology
Must-Have Skills
8+ years in data architecture / data engineering, with at least 3 years on GCP
Hands-on experience with GCP: BigQuery, Spanner (incl. Spanner Graph), Dataplex / Knowledge Catalog, Cloud Composer, Dataflow
Production experience with knowledge graphs, property graphs, or RDF/OWL-based ontologies
Strong skills in entity resolution, data lineage, and metadata management at enterprise scale
Experience implementing policy-based access controls in data platforms (RBAC, ABAC, or PDP patterns)
Proficiency in Python, SQL, and graph query languages (Cypher, SPARQL, or Gremlin)
Experience with data-governance frameworks and data-quality tooling
Nice-to-Have Skills
Experience with the credit / lending or financial-services domain (data models such as tradelines, scores, attributes)
Familiarity with regulated-data compliance and permissible-use governance patterns
Hands-on catalog-migration experience with Collibra (incl. Collibra Edge) and Dataplex Universal Catalog
GCP Professional Data Engineer certification

Keyskills: metadata data metadata management catalog google cloud platforms data architecture resolution sql cloud java gcp property bigquery architecture python languages query cloud orchestration rbac cloud spanner engineering data engineering graph gremlin sparql data flow pdp entity
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