GCP Data Architect

Our client is looking for a GCP Data Architect to define and guide the architecture of enterprise data platforms supporting healthcare, pharmacy, claims, member, provider, and operational data. The architect will work closely with business leaders, application teams, security, governance, and data engineering teams. This person should be able to translate business needs into practical cloud architecture and guide teams through implementation. Responsibilities Define the target-state architecture for enterprise data solutions on GCP. Design scalable batch, streaming, analytics, and data-sharing architectures. Establish architecture patterns for BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Composer, and Dataplex. Design cloud data warehouses, data lakes, lakehouse platforms, and domain-based data products. Create architecture diagrams, data-flow designs, integration patterns, and technical standards. Lead the migration of legacy data platforms and workloads to GCP. Define data modeling, ingestion, transformation, quality, lineage, metadata, and retention standards. Design solutions for healthcare, pharmacy, claims, member, provider, and operational data. Establish security architecture for PHI, PII, IAM, service accounts, encryption, masking, and audit controls. Review solution designs and provide technical direction to data engineering teams. Conduct design reviews and help resolve complex scalability, performance, and integration issues. Define cloud cost-management and BigQuery optimization strategies. Partner with security, governance, analytics, product, and engineering teams. Support architecture governance, technical roadmaps, and platform modernization initiatives. Required Qualifications

12+ years of experience in data engineering, data architecture, or enterprise data platforms. 5+ years of experience designing solutions on GCP. Strong architecture experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Composer, and Dataplex. Strong knowledge of data warehousing, data lakes, lakehouse architecture, distributed systems, and event-driven design. Experience designing batch and real-time data platforms. Strong understanding of dimensional, relational, and domain-based data modeling. Experience with data governance, metadata, lineage, quality, security, and privacy. Experience with Terraform, CI/CD, APIs, containers, and cloud-native architecture. Ability to communicate architecture decisions to technical teams and business stakeholders. Experience leading design reviews and guiding multiple engineering teams. Preferred Qualifications Healthcare, pharmacy, PBM, claims, or health insurance experience. Strong understanding of HIPAA, PHI, PII, and healthcare data governance. Experience with dbt, Looker, Data Catalog, Apigee, Cloud Run, or Vertex AI. Experience modernizing Oracle, Teradata, Hadoop, SQL Server, or other legacy platforms. Google Professional Cloud Architect or Professional Data Engineer certification.