Data Architect – Healthcare Insights, Revenue Cycle

🕒 Setembro 29

🌽 Illinois – Remoto

🌽 Illinois – Remote

💵 $140.000 - $190.000 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🚰 Engenheiro de Dados

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Huron

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2002

🏥 Saúde

📦 Logística

📣 Marketing

Healthcare • Logistics • Marketing

A Huron Consulting Group é uma consultoria global que oferece uma ampla gama de serviços, incluindo soluções em estratégia, operações, consultoria, digital, tecnologia e análises para vários setores, como saúde, educação, energia e serviços financeiros. A Huron ajuda as organizações a navegar em desafios complexos e impulsionar o crescimento através de soluções personalizadas e estratégias inovadoras. A empresa emprega uma equipe de especialistas dedicados a entregar soluções de alto impacto que atendem às necessidades únicas de cada cliente, com foco em áreas como serviços gerenciados, terceirização e desenvolvimento de liderança.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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