Data Architect – Healthcare Insights, Supply Chain, Manager

🕒 May 13

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $140k - $190k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

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Huron

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2002

🤝 B2B

🏢 Enterprise

💸 Finance

B2B • Enterprise • Finance

Huron Consulting Group is a global consultancy that provides a wide range of services including strategy, operations, advisory, digital, technology, and analytics solutions to various sectors such as healthcare, education, energy, and financial services. Huron helps organizations navigate complex challenges and drive growth through tailored solutions and innovative strategies. The company employs a team of experts dedicated to delivering high-impact solutions that address the unique needs of each client, focusing on areas such as managed services, outsourcing, and leadership development.

📋 Description

• Architect and own the AI context platform • 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) • Evaluate and select infrastructure, tooling, and cloud services to support platform needs across AWS/Azure/GCP environments • Design and deliver semantic and governed data products • 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

🎯 Requirements

• 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 • Hands-on experience with vector search and embeddings (pgvector /Pinecone/ Weaviate /OpenSearch/Elastic) and retrieval patterns • 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

🏖️ Benefits

• medical, dental and vision coverage • wellness programs • 401(k) plan with a generous employer match • employee stock purchase plan • Paid Time Off policy • paid parental leave and adoption assistance • free annual health screenings and coaching • on-site workshops