Data & Analytics Solutions ArchitectLocations: Charlotte, NC | Short Hills, NJ | Hartford, CT2x days/week onsite Up to $180,000 + 10% bonus**this client is not able to sponsor or transfer visas at this time**A high-performing, financially strong U.S. insurance group is investing heavily in its Data & Analytics platform as it enters a major growth phase — and is hiring a hands-on Data & Analytics Solutions Architect to help shape what comes next.This is not an Enterprise Architect role. It’s a deeply technical, delivery-oriented architecture position sitting within a central Data & Analytics function, working directly with engineering teams and business partners to design, evolve, and execute modern data platforms at scale. Why this role stands outA $5.5B revenue business with an ambition to reach $10B in the next few yearsExpanding rapidly across the U.S. — growth driven by technology, automation, and data, not headcount aloneMoving decisively toward a Databricks-centric Lakehouse architecture (Azure-based)Production ML and early LLM use cases already live — not just experimentationArchitects here own real problems end-to-end, with visibility across the full data lifecycleYou’ll join a small, senior architecture group supporting multiple business domains (claims, underwriting, operations, analytics), helping teams move faster while setting the right technical guardrails. What you’ll be doingDesigning and evolving modern Data & Analytics architectures (batch, real-time, cloud & hybrid)Partnering with delivery teams and business stakeholders to translate needs into scalable solutionsDefining standards, patterns, and frameworks across Databricks, Azure, Power BI, ML platforms, and ingestion toolsSupporting execution — reviewing designs, advising engineers, solving complex technical problemsEvaluating new tools and capabilities, running POCs, and influencing platform roadmapsActing as a technical mentor across data engineering, analytics, and ML teamsThis is an individual contributor role (manager-grade) — ideal for someone who wants architectural ownership without people management. What they’re looking for~7+ years in Data & Analytics Architecture or senior data engineering with strong architectural ownershipStrong Databricks experience (Lakehouse / medallion architecture is essential)Solid Azure knowledge (data, networking concepts, security patterns)Experience designing data pipelines, analytics platforms, and ML-adjacent architecturesComfortable working across teams, articulating technical decisions, and challenging designs constructivelyInsurance experience is helpful but not required — technical depth matters mostNice to have: Power BI, Azure ML, Informatica/IICS, real-time ingestion, governance & data quality frameworks. Culture & growthHigh autonomy, low politics, strong internal mobilityLong tenure and real investment in upskillingArchitects here influence strategy and delivery — no ivory towers