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Technical Architect - Data & Analytics

Tanisha Systems

Santa Clara, CA

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JOB DETAILS
SALARY
$150,000–$170,000 Per Year
SKILLS
Actuarial Skills, Amazon Simple Storage Service (S3), Annuities, Artificial Intelligence (AI), Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Clustering, Data Lake, Data Modeling, Data Quality, Database Extract Transform and Load (ETL), DevOps, Embedded Systems, Enterprise Architecture, Finance, Financial Services, Git, GitHub, Healthcare, Informatica, Insurance, Leadership, Manufacturing Data Management, Master Data Management (MDM), Metrics, Microsoft Windows Azure, Operational Support, Power BI, Programming Tools, Python Programming/Scripting Language, Query Optimization, Reinsurance, SQL (Structured Query Language), SQL Server Integration Services (SSIS), Snowflake Schema, Tableau, Team Player
LOCATION
Santa Clara, CA
POSTED
4 days ago
Technical Architect - Data & Analytics
Full Time / Contract (FTE/W2 / *)
Newport Beach, CA 92660
Candidates from Local or CA are preferred for interview.

We are looking for a seasoned Technical Architect to own end-to-end solution architecture for an 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.

Skills / Experience
  • 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
  • Experience in Platform Architecture, Snowflake Data Mesh, AI-Augmented Delivery and Enterprise-Scale Modernization
  • Key Skills Snowflake, AWS S3, Matillion, dbt (data build tool), Collibra, Profisee MDM, Python, SQL, Snowflake Cortex AI, WinAIDM, SnowConvert AI, Tableau, Power BI, CI/CD (DevOps), Git, ACORD Data Model
  • Proven experience designing medallion/lake house 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
  • Bachelor s or Master s degree in Computer Science, Engineering, or related technical discipline
  • 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

Key Responsibilities
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

Expected Outcome 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

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

About the Company

T

Tanisha Systems

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