Arcadia
Healthcare
LeadAnalyticsEngineer-DataModeling&Quality
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“Lead Analytics Engineer - Data Modeling & Quality at Arcadia. Skills: dbt, Data modeling, Data quality, SQL. Author dbt models. Review dbt models”
What You'll Achieve.
improving the quality, reliability, and trustworthiness of data
Industry & Context.
analytical judgment; Troubleshoot and fix issues; root-cause triage
following all Security policies and procedures, protect all PHI
What They're Looking For.
Must Have
Advanced SQL, dbt, Healthcare data literacy, Data quality mindset
Nice to Have
Spark SQL, Hudi table format, data quality monitoring tools, AI-first environment, Claude, population health analytics concepts, Python scripting, Argo Workflows, Healthcare data standards
What You'll Do.
Help clients understand data model
Optimize SQL performance
Partner on Hudi table design
Triage data quality alerts
Classify data quality alerts
Design volume monitors
Author clinical DQ rules
Apply claims validation rules
Conduct quality reviews
Write customer-facing findings
Lead data quality reviews
Enforce data modeling standards
How You'll Work.
Team & Collaboration
Partner with Data Engineering; Coordinate with Measure Implementation Team; Contribute to and enforce data modeling standards across teams
Communication Scope
translate technical findings for clients and non-technical stakeholders
Process & Methodology
Ability to manage several projects simultaneously
Full Job Description
## What You'll Be Doing DATA MODELING & DBT DEVELOPMENT Author, review, and maintain dbt models using Spark/Hudi from ingest through bronze and silver Help clients understand their data model, assumptions, and limitations through intentional validation Troubleshoot and fix issues, then write dbt tests to catch issues proactively Optimize SQL performance for slow-running jobs Partner with Data Engineering on Hudi table design, partition strategy, and incremental patterns DATA QUALITY OWNERSHIP Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks) Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings CROSS-FUNCTIONAL QUALITY COLLABORATION Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores Contribute to and enforce data modeling standards across teams TECHNOLOGIES Data modeling: dbt-spark, SQL, Claude Warehousing: Amazon Redshift, Apache Hudi, AWS Athena Data quality: volume/DQ monitors, dbt tests Orchestration: Argo Workflows, Airflow Source control: Git / GitHub, PR-based review workflows Observability: Grafana, Loki, Jira Healthcare data: Claims (plan/professional/pharmacy), EHR (cl
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