AWS Data Architect

12 years in data engineering and analytics with 3 years in a solution/technical architect role on enterprise-scale programs
Deep, hands-on expertise in Snowflake query optimization, clustering, Data Metric Functions, Snowpipe, Streams, and native AI capabilities
Proven experience designing medallion/lakehouse architectures with AWS S3 as the raw data lake layer
Strong command of dbt project structure, macros, testing frameworks, and CI/CD integration
Experience architecting data governance solutions using Collibra catalog, lineage, business glossary, and certification workflows
Demonstrated ability to lead multi-wave, multi-workstream data modernization programs in a regulated (insurance, healthcare, or financial services) environment
Hands-on experience migrating legacy ETL (Informatica or SSIS) to modern dbt/Matillion pipelines

Role Summary
We are looking for a seasoned Technical Architect to own end-to-end solution architecture for a Fortune 500 insurance and financial services enterprise's large-scale, multi-wave data modernization program. You will design and govern a Snowflake AWS S3 Matillion dbt platform built on medallion architecture principles, define the ACORD-based enterprise data model, and set the technical standards that all delivery workstreams will follow. This is a hands-on architecture role you will be deeply embedded in the delivery team, not a distant reviewer.
Key Responsibilities
Snowflake, AWS S3, Matillion, dbt (data build tool), Collibra, Profisee MDM, Python, SQL, Snowflake Cortex AI, WinAIDM, SnowConvert AI, Tableau, Power BI, CI/CD (Azure DevOps), Git, ACORD Data Model.
Architecture & Solution Design
Architect and deliver the enterprise data platform on Snowflake AWS S3 using a medallion (Bronze Silver Gold) architecture, supporting 80 source systems and 7-year historical migration
Design the ACORD Life & Annuity-based enterprise data model customized for insurance domains Policy, Claims, Finance, Actuarial, Agent/Distribution, Customer/Party
Define the data mesh architecture with federated governance, domain ownership boundaries, and self-serve platform patterns for multi-wave delivery
Establish reusable ingestion templates (Matillion), dbt transformation frameworks, and Snowflake-native quality patterns (Data Metric Functions) as cross-program standards
Govern architecture decisions across all 5 parallel workstreams: Ingestion, Transformation, Data Quality/DRE, Consumption, and Governance/MDM

Strong communication skills ability to explain technical concepts clearly.
Proactive, ownership-driven mindset with high accountability.
Ability to collaborate across engineering, operations, and support teams.
Adaptability to fast-paced iterative environments.

The candidate is expected to deliver the following measurable outcomes:

Wave 1 platform foundation (Snowflake environments, AWS S3 data lake, Matillion/dbt/Collibra/Profisee, CI/CD pipelines) delivered by Month 3 with no rework required
All 9 Wave 1 certified data products (CMD Life, Finance, Actuarial) achieve SLO targets: 99.9% completeness, 99.5% accuracy, end-to-end lineage in Collibra
Architecture standards and dbt/Matillion templates adopted consistently across all 5 delivery workstreams no divergence in patterns
WinAIDM accelerator framework implemented and deployed and contributing to 40 50% reduction in data engineering effort vs. baseline
Client technical stakeholders describe WinWire as a "trusted architecture guide" proactive, decision-ready, and commercially aware

Familiarity with ACORD Life & Annuity data standards and insurance domain concepts (Policy, Claims, Actuarial, Reinsurance)
Experience with Profisee MDM or equivalent enterprise MDM platforms
Exposure to Snowflake Cortex AI, AI-assisted development tools (GitHub Copilot, Azure OpenAI), or LLM-based data engineering accelerators
SnowPro Advanced certification (Data Engineer or Architect)