Data Architect

Position Title

GCP Data Architect

Wilmington, DE or Remote

The Principal Data Architect will serve as the technical authority and strategic leader for enterprise data platform modernization, driving the design and implementation of a cloud-native data architecture on Google Cloud Platform. This role requires deep expertise in large-scale data warehouse migrations, modern data architecture patterns, and the ability to deliver scalable, secure, and cost-effective technical solutions.

• Lead the architectural vision for managing and optimizing the data warehouse ecosystem on Google Cloud Platform, with Big Query as the primary analytics engine.
• Design comprehensive data architecture patterns including data Lakehouse frameworks, real-time streaming architectures, and federated data access layers.
• Establish enterprise data governance frameworks aligned with DAMA‑DMBOK principles, ensuring data quality, lineage, and regulatory compliance.
• Define data integration strategies spanning batch, streaming, and API-based patterns to support diverse use cases across insurance and membership service lines.
• Architect and review designs for multi-layered data zones (raw, curated, consumption) with appropriate security controls and access patterns.

• Own the technical design for migration strategies, including schema optimization, performance tuning, and workload migration planning.
• Design ETL/ELT modernization approaches, transitioning from legacy tools to cloud-native data integration platforms (Dataflow, or partner solutions).
• Establish CI/CD pipelines and infrastructure-as-code practices for data platform deployments.
• Define monitoring, observability, and operational excellence frameworks for production data workloads.
• Lead proof-of-concept initiatives to validate architectural decisions and de-risk complex technical challenges.

• Serve as primary technical liaison with customer’s Data Business Unit and IT leadership for multiple initiatives.
• Translate complex technical architectures into executive-level communications and compelling business narratives.
• Lead technical deep-dive sessions, demonstrating architecture viability and addressing stakeholder evaluator concerns.
• Produce comprehensive architecture documentation, decision records, and runbooks aligned with enterprise standards.

• Provide technical mentorship to data engineering teams, elevating skills in cloud-native data architecture patterns.
• Establish architectural review processes and technical guardrails to ensure solution quality.
• Foster a culture of innovation, encouraging experimentation with emerging GCP capabilities like Gemini-powered AI data tools.

• 12+ years of experience in enterprise data architecture, with 5+ years focused on cloud data platforms (GCP strongly preferred).
• Proven track record leading technical pursuits for $5M+ enterprise engagements.
• Deep expertise in Google Big Query architecture, performance optimization, and cost management strategies.
• Proven experience leading large-scale data warehouse modernization programs.
• Expertise in data integration tools and patterns (Cloud Dataflow).
• Experience with data governance frameworks (DAMA‑DMBOK, Data Mesh, Data Fabric concepts).
• Knowledge of security and compliance requirements for regulated industries (insurance, financial services).
• Exceptional written and verbal communication skills, with ability to present to C‑level executives.
• Experience managing complex stakeholder relationships across business and technology organizations.

• Google Cloud Professional Data Engineer and/or Cloud Architect certifications.
• Familiarity with insurance industry data models and regulatory requirements.
• Knowledge of Adobe Analytics, Salesforce Marketing Cloud, and Mar Tech integration patterns.
• Experience with Fin Ops practices and cloud.

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