[Remote] Data Architect - Healthcare Insights, Revenue Cycle

Note: The job is a remote job and is open to candidates in USA. Huron helps healthcare organizations drive growth, improve performance, optimize operations, and deliver better consumer outcomes. Huron is seeking a hands-on Data Architect to own the architecture and delivery of an AI context data platform, including ingestion, embeddings, retrieval, semantic layers, governance, reliability, and security. The role partners with engineering, product, AI, Security, Legal, and Compliance teams and is expected to grow into direct people leadership.

Responsibilities

• Design end-to-end platform architecture: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/serving
• Define scalable patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources
• Set technical direction for retrieval quality (query strategies, hybrid search, metadata filtering, reranking) in partnership with AI engineers
• Evaluate and select infrastructure, tooling, and cloud services to support platform needs across AWS/Azure/GCP environments
• Architect and implement semantic layers (metrics/entities) that power BI and agent reasoning consistently across the platform
• Define data contracts and context contracts for AI inputs (schemas, metadata requirements, freshness, citation expectations)
• Establish standards for discoverability, documentation, and reusability across datasets and indexes
• Own the dbt or semantic layer tooling strategy and ensure consistent application across workstreams
• Own reliability and performance at the platform level: monitoring, alerting, SLAs/SLOs, runbooks, incident response, and postmortems
• Drive cost and latency optimization across Snowflake, lakehouse, and vector infrastructure
• Set engineering standards for CI/CD, testing, and evaluation (retrieval eval sets, regression tests, online telemetry)
• Implement security-by-design: RBAC/ABAC patterns, PII redaction, retention controls, audit logging, and safe access pathways for agent tools
• Partner with Security/Legal/Compliance to define and enforce guardrails for AI access to enterprise knowledge
• Own governance patterns for sensitive data handling across the platform
• Drive technical roadmap decomposition with product, AI, and application stakeholders
• Facilitate architectural decisions across teams and functions, building alignment without direct authority
• Set best practices and mentor engineers via design reviews, code reviews, and documentation
• As the platform matures and the engineering team expands, the Architect will take on formal responsibility for leading a small team of engineers — owning hiring input, technical development, and delivery oversight

Skills

• 8–12+ years in data engineering, data architecture, or platform roles with significant hands-on delivery
• Expert SQL and strong Python (or Scala/Java); deep production engineering habits
• Hands-on Snowflake expertise including advanced data modeling, pipeline design, performance tuning, and operating at scale in production
• Proven experience designing cloud data architectures on AWS, Azure, or GCP — including storage, compute, orchestration, and networking considerations
• Hands-on experience with vector search and embeddings (pgvector/Pinecone/Weaviate/OpenSearch/Elastic) and retrieval patterns (semantic retrieval, hybrid search, reranking)
• Experience with dbt or comparable semantic layer tooling in a production environment
• Demonstrated ability to lead cross-functional technical initiatives and drive alignment across teams
• Strong written and verbal communication skills — able to present architecture decisions to both technical and non-technical audiences
• Business-curious and domain-eager: Proactively learns healthcare processes, terminology, and KPIs — can speak credibly with SMEs and business leaders, not just translate requirements but help shape the right questions and success measures
• Stakeholder-first collaborator: Builds strong relationships with stakeholders, SMEs, and consultants; clarifies goals, constraints, and tradeoffs early; communicates progress and risks clearly; sets realistic expectations around timelines, scope, and quality
• Consultative problem-solver: Approaches requests with a "diagnose before prescribe" mindset — asks smart questions, proposes options, and guides teams toward durable solutions rather than one-off fixes
• Influence without authority: Leads through expertise and trust — drives alignment, facilitates decisions, and unblocks teams across functions without relying on positional authority
• High ownership and follow-through: Treats reliability, documentation, and operational readiness as part of the work; finishes what they start; holds a high bar for production quality
• Clear communicator for mixed audiences: Can go deep with engineers and explain concepts plainly to non-technical partners; writes crisp architecture docs, designs, and runbooks
• Pragmatic builder mindset: Biases toward shipping value in iterations, validating with users, and improving based on feedback — balancing innovation with maintainability and risk
• Comfortable with ambiguity: Thrives in early-stage or evolving spaces, adapts quickly, and turns unclear goals into actionable architectural plans
• Integrity and stewardship: Handles sensitive data responsibly, advocates for secure-by-design patterns, and enables the business to move fast without cutting corners on governance
• Experience supporting LLM applications (RAG, agent tool interfaces, evaluation/observability)
• Knowledge of knowledge graphs, semantic modeling, or metrics layers at scale
• Experience in regulated environments and mature data governance programs
• Familiarity with Iceberg, Delta Lake, or other open table formats in a lakehouse context
• Prior experience in a formal or informal technical lead or staff engineer capacity

Benefits

• Eligible to participate in Huron’s annual incentive compensation program.
• Medical, dental and vision coverage.
• Other wellness programs.

Company Overview

Company H1B Sponsorship