Principal Data Architect: Cloud Platform & Governance

OrthoMed Anesthesia; Addison (TX); On-site; USD 130,000 - 150,000; Full time

Job summary

OrthoMed Anesthesia in Addison, TX is seeking a hands-on Principal — Data & Analytics to serve as the senior technical voice shaping our data platform, architecture, and governance. This IC role focuses on execution and standards, not people management.

You will define the data platform strategy, architect a single source of truth, and collaborate with data and engineering teams to enable enterprise KPIs, AI-ready datasets, and scalable analytics.

Qualifications

• 10+ years in data engineering and analytics.
• 4+ years at Principal / Staff / Lead Architect level.
• Expertise across modern cloud data platforms, SQL, Python, dbt, ELT.
• Strong data modeling fundamentals (dimensional, Data Vault).
• Experience designing data platforms in regulated environments (HIPAA, SOC 2).
• Healthcare or regulated-industry experience preferred.

Responsibilities

• Define and execute the data platform strategy across cloud warehouses and lakehouses.
• Architect a single source of truth for enterprise KPIs and AI-ready datasets.
• Set engineering standards: data modeling, SQL discipline, dbt patterns, testing.
• Partner with the Data Manager and engineering team for depth and leadership.
• Own data governance in a regulated environment: access controls, audit trails.
• Bridge to BI and AI: support reporting and ML workloads with robust data layers.
• Modernize legacy reporting patterns into scalable analytics infrastructure.

Skills

Snowflake

Databricks

SQL Server

SQL

Python

dbt

ELT patterns

Data modeling

HIPAA compliance

Regulated environments

Job description

OrthoMed Anesthesia in Addison, TX is seeking a hands-on Principal — Data & Analytics to serve as the senior technical voice shaping our data platform, architecture, and governance. This IC role focuses on execution and standards, not people management.

You will define the data platform strategy, architect a single source of truth, and collaborate with data and engineering teams to enable enterprise KPIs, AI-ready datasets, and scalable analytics.