Data Architect - Healthcare Insights, Supply Chain, Manager
Occupations:
Data Warehousing SpecialistsDatabase ArchitectsComputer Systems Engineers/ArchitectsData ScientistsDatabase AdministratorsIndustries:
Drugs and Druggists' Sundries Merchant WholesalersWeb Search Portals, Libraries, Archives, and Other Information ServicesMachinery, Equipment, and Supplies Merchant WholesalersActivities Related to Real EstateAutomotive Parts, Accessories, and Tire RetailersArchitect and own the AI context platformAll candidates should make sure to read the following job description and information carefully before applying.Design end-to-end platform architecture: ingestion → parsing/chunking → enrichment → embeddings → vector indexing → retrieval/servingSet 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 environmentsDesign and deliver semantic and governed data productsArchitect and implement semantic layers (metrics/entities) that power BI and agent reasoning consistently across the platformDefine data contracts and context contracts for AI inputs (schemas, metadata requirements, freshness, citation expectations)Own the dbt or semantic layer tooling strategy and ensure consistent application across workstreamsOwn reliability and performance at the platform level: monitoring, alerting, SLAs/SLOs, runbooks, incident response, and postmortemsSet engineering standards for CI/CD, testing, and evaluation (retrieval eval sets, regression tests, online telemetry)Partner with Security/Legal/Compliance to define and enforce guardrails for AI access to enterprise knowledgeOwn governance patterns for sensitive data handling across the platformDrive technical roadmap decomposition with product, AI, and application stakeholdersFacilitate architectural decisions across teams and functions, building alignment without direct authority8–12+ years in data engineering, xevrcyc data architecture, or platform roles with significant hands-on deliveryExpert SQL and strong Python (or Scala/Java)Hands-on Snowflake expertise including advanced data modeling, pipeline design, performance tuning, and operating at scale in productionProven experience designing cloud data architectures on AWS, Azure, or GCPmedical, dental and vision coverageemployee stock purchase planPaid Time Off policyfree annual health screenings and coaching