Data Architect – Healthcare Insights, Revenue Cycle

Job not on LinkedIn

🔥 4 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $140k - $190k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Huron

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2002

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

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

• Own the design and delivery of core AI/context data capabilities • Design end-to-end platform architecture covering ingestion, parsing/chunking, enrichment, embeddings, vector indexing, and retrieval/serving • Define scalable patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources • Set technical direction for retrieval quality, including query strategies, hybrid search, metadata filtering, and reranking • Evaluate and select infrastructure, tooling, and cloud services across AWS, Azure, and GCP environments • Architect and implement semantic layers for BI and agent reasoning • Define data contracts and context contracts for AI inputs • Establish standards for discoverability, documentation, and reusability across datasets and indexes • Own the dbt or semantic layer tooling strategy • Own platform-level reliability and performance, including 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 • Implement security-by-design patterns, including RBAC/ABAC, PII redaction, retention controls, audit logging, and safe agent-tool access • Partner with Security, Legal, and Compliance to define and enforce AI access guardrails • Own governance patterns for sensitive data handling • Drive technical roadmap decomposition with product, AI, and application stakeholders • Facilitate architectural decisions and build alignment across teams without direct authority • Set best practices and mentor engineers through design reviews, code reviews, and documentation • Grow into formal people leadership, including hiring input, technical development, and delivery oversight

🎯 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 • 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, including pgvector, Pinecone, Weaviate, OpenSearch, or Elastic • Experience with retrieval patterns, including semantic retrieval, hybrid search, and reranking • Experience with dbt or comparable semantic layer tooling in a production environment • Ability to lead cross-functional technical initiatives and drive alignment across teams • Strong written and verbal communication skills for technical and non-technical audiences • Candidates should be comfortable with the trajectory toward direct people leadership and motivated to build and shape a team • Preferred: Experience supporting LLM applications, including RAG, agent tool interfaces, and evaluation/observability • Preferred: Knowledge of knowledge graphs, semantic modeling, or metrics layers at scale • Preferred: Experience in regulated environments and mature data governance programs • Preferred: Familiarity with Iceberg, Delta Lake, or other open table formats in a lakehouse context • Preferred: Prior formal or informal technical lead or staff engineer experience

🏖️ Benefits

• Annual incentive compensation program • Medical coverage • Dental coverage • Vision coverage • Wellness programs • Huron benefit plans