Google Cloud Platform Architect With MDM Experience

Key Responsibilities:

Solution Architecture

• Design end-to-end cloud-native identity resolution and Golden Record formation solutions on Google Cloud Platform.
• Define scalable architecture patterns for customer, product, provider, and enterprise master data domains.
• Establish data integration frameworks to ingest and process structured and unstructured data from multiple source systems.

Identity Resolution

• Design deterministic and probabilistic matching strategies for customer identity resolution.
• Develop entity matching frameworks leveraging: Exact matching, Fuzzy matching, Machine learning-based matching, Survivorship, and confidence scoring.
• Define identity graphs and entity relationship models for cross-channel identity management.
• Establish matching thresholds, merging rules, and exception handling processes.

Golden Record Formation

• Design and implement Golden Record creation frameworks.
• Define survivorship rules and source system prioritization.
• Develop data standardization, cleansing, enrichment, and consolidation processes.
• Ensure Golden Records maintain consistency, accuracy, completeness, and traceability.

Google Cloud Platform Data Platform Development

Design solutions using Google Cloud Platform services such as: BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Composer, Vertex AI, Dataplex, Cloud Functions, Cloud Run

• Build streaming and batch data processing architectures.
• Implement scalable metadata and reference data management capabilities.

Data Quality & Governance

• Define enterprise data quality frameworks and KPIs.
• Implement monitoring for: Completeness, Uniqueness, Accuracy, Consistency, Timeliness
• Collaborate with governance teams to establish business rules, stewardship workflows, and audit mechanisms.
• Ensure compliance with privacy and regulatory requirements including GDPR, CCPA, and healthcare standards where applicable.

 

Advanced Analytics & AI

• Utilize Vertex AI and ML models to improve match accuracy and identity resolution.
• Implement continuous learning mechanisms for matching and survivorship optimization.
• Enable customer 360 and analytical data products leveraging Golden Records.

 

Stakeholder Collaboration

• Collaborate with business stakeholders, data architects, engineering teams, product owners, and governance teams.
• Translate business requirements into scalable technical architecture.
• Provide technical leadership and architectural guidance across delivery teams.