29th September, 2026Our client in NYC is seeking a
Senior Data & AI Architect & Engineering Manager to join their team!
This is a hybrid/full-time/direct-hire positionSalary range based on experience: Starting at $165K Responsibilities: People Leadership, Performance & Team Development (Direct Reports) - Directly manage and supervise a team of engineers and architects with accountability for hiring, onboarding, goals, performance reviews, development plans, workload allocation, employee relations, succession, and retention.
- Hold regular one-on-ones, set clear expectations, recognize progress, and give balanced, constructive feedback with consistent follow-through.
- Coach engineers and architects through design reviews, code reviews, pairing, delegation, and individual development plans; build bench strength without becoming the sole decision bottleneck.
- Address performance or behavioral gaps promptly and constructively, focusing on facts, impact, expectations, support, and measurable improvement.
- Foster an inclusive, psychologically safe, solution-oriented team culture during ambiguity and delivery pressure.
Microsoft Fabric Architecture & Platform Delivery - Own the end-to-end Microsoft Fabric reference architecture across OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, domains, and capacities.
- Lead the team delivering foundational Fabric patterns and priority platform components; stay hands-on for high-risk design, prototyping, review, and troubleshooting.
- Define medallion, batch, CDC, streaming, mirroring, shortcut, deployment, security, monitoring, and capacity-management patterns.
- Maintain current architecture diagrams, standards, roadmaps, architecture decisions, and implementation guardrails.
Enterprise Data, Semantic Model & Integration Architecture - Own conceptual, logical, physical, canonical, dimensional, and enterprise semantic model standards across policy, claims, provider, patient safety, underwriting, actuarial, and finance domains.
- Establish Power BI semantic model standards for measures, calculation groups, naming, certified datasets, reuse, refresh, performance, lineage, ownership, and RLS/OLS/CLS.
- Define data contracts, model versioning, metadata, glossary, master/reference data, ontology, and knowledge-graph alignment.
- Design secure integrations across Fabric, Azure, operational systems, content platforms, and external providers using APIs, events, CDC, streaming, files, and batch patterns.
Engineering Excellence, Governance, Reliability & Cost Establish Git-based delivery, pull-request review, automated testing, CI/CD, environment promotion, release, rollback, observability, incident response, and operational-readiness standards.
- Define service objectives and telemetry for pipelines, capacities, semantic models, AI services, and critical data products; lead root-cause analysis and durable remediation without blame.
- Embed least privilege, secrets management, PHI/PII controls, sensitivity, retention, data quality, lineage, auditability, and responsible AI controls into delivery patterns.
- Forecast, monitor, explain, and optimize platform capacity, compute, storage, licensing, and vendor cost against business value.
Strategic Partnership, Communication & Change Leadership - Translate strategy and ambiguous business needs into decision-ready options, recommendations, diagrams, roadmaps, staffing plans, and executable work for technical and executive audiences.
- Partner with Enterprise Architecture, Security, Infrastructure, Governance, Claims, Underwriting, Actuarial, Reporting, Legal/Compliance, Finance, and vendors to resolve tradeoffs and dependencies.
- Communicate risks early with context, impact, options, and a recommended action; represent decisions with composure, transparency, and sound judgment.
- Lead adoption of architecture standards and new ways of working through stakeholder engagement, education, measurement, and reinforcement.
Qualifications: - People-manager role: 3+ years directly managing and supervising data engineers, analytics engineers, architects, or similar technical staff, including managing a team through change.
- Direct accountability for hiring, onboarding, goal setting, performance reviews, coaching, career development, workload planning, succession planning, employee relations, and retention.
- Bachelor's or master's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field; equivalent experience considered.
- 10+ years of deep enterprise data, analytics, engineering, or architecture experience with accountability for architecture decisions in production.
- Hands-on expertise with Microsoft Fabric (OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, security, and capacity governance).
- Expertise in enterprise data and semantic modeling: conceptual, logical, physical, dimensional, and canonical models; data contracts; Power BI semantic models; lineage; RLS/OLS/CLS; and performance tuning.
- Strong SQL, Python, PySpark, Delta Lake, batch, CDC, streaming, API, DataOps, automated testing, CI/CD, observability, and cost-management experience.
- Constructive, solution-oriented leadership and strong executive communication; regulated-industry experience (insurance, healthcare, or financial services) preferred.
Applicants must be authorized to work in the U.S.
