Senior Data Architect

JCW Group; Cheshire (CT); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading provider of data-driven solutions is seeking a Senior Data Architect in Cheshire, CT. This hybrid role involves owning the enterprise data architecture roadmap, establishing governance, and collaborating across teams to enhance performance. The perfect candidate will have over 5 years of experience in data architecture, specialized knowledge in SQL, and familiarity with Azure data services. Attractive benefits and a supportive environment await.

Qualifications

• 5+ years in data architecture or data engineering roles.
• Hands-on expertise in SQL and data modeling.
• Strong experience with Azure data services.

Responsibilities

• Define and evolve the enterprise data architecture roadmap.
• Establish data governance, quality, lineage and security practices.
• Collaborate to guide reliability and performance.

Skills

SQL

Azure data services

Data governance

Data modeling

RBAC

Data security

Job description

JCW has partnered with leading provider of insurance, risk management, and data-driven solutions dedicated to the housing industry, to identify a Senior Data Architect to lead the strategy, design, and evolution of their enterprise data platform. This is a hybrid role based in the Cheshire, CT area.

This individual will own the enterprise data architecture roadmap, guide data modeling standards, strengthen governance and security practices, and enable high-quality analytics across the business. You’ll partner closely with Application, Infrastructure/Cloud, Cybersecurity, and business teams while shaping the data platform’s long‑term scalability and performance.

Key Responsibilities

• Define and evolve the enterprise data architecture roadmap and reference architectures (warehouse, lakehouse).
• Own canonical models, dimensional designs, and integration standards across pipelines.
• Establish data governance, quality, lineage, and security practices.
• Collaborate with Infrastructure/Cloud to guide reliability, observability, and cost optimization.
• Enable high-quality analytics and a governed Power BI semantic layer for self‑service use cases.

Qualifications

• 5+ years in data architecture or data engineering roles with hands‑on SQL and modeling expertise.
• Strong experience with Azure data services (Synapse, Data Factory, Data Lake) and modern data patterns (ELT/ETL, lakehouse).
• Proven ability to design scalable analytics/data models and optimize performance.
• Experience with data governance, security (RBAC, encryption), and change control.
• Prior background supporting insurance data domains is highly preferred but not required.

If this sounds like you feel free to apply!

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Staffing and Recruiting