Senior QA Architect - ETL & AI Validation on Databricks

CitiusTech Inc; Chicago (IL); Hybrid; USD 120,000 - 165,000; Full time

Job summary

CitiusTech Inc is seeking a Senior QA professional to own test strategy for ETL pipelines, leveraging SQL, Azure Databricks, and AI evaluation to ensure data integrity. You will build automated regression harnesses, define equivalence across raw to domain layers, and lead a team of QA engineers through complex healthcare data validation.

Hybrid role in Chicago, IL, with a focus on scalable validation strategies, risk-based testing, and client-facing artifacts to demonstrate methodology and

Qualifications

• 10+ years in data / ETL testing with strategy ownership on large migrations.
• Proven reconciliation and equivalence testing of rebuilt pipelines.
• Expert SQL with complex validation against unfamiliar schemas.
• Databricks / PySpark for validation at data volume, Python for automation.
• Experience testing PHI-scoped healthcare data and working with EHR data.
• Defect management and reporting; team leadership and coverage reviews.

Responsibilities

• Own test strategy and reconciliation methodology across data pipelines.
• Define equivalence standards and layer-specific validation rules.
• Design source-to-target validation for ingestion, transformation, and domain refinement.
• Prioritise risks and author Test Strategy & Plan for client review.
• Maintain a golden reference set and stand up an evaluation harness in MLflow.
• Define measures: precision, recall, escalation rate, and cost per case.
• Lead automated regression harness and cross-system validation across Databricks, SQL Server, Vertica.

Skills

ETL testing

SQL

Azure Databricks

Agentic AI testing

Web testing

Test automation

Education

Engineering degree

Tools

MLflow

LangSmith

Weights & Biases

Azure Boards

Great Expectations

dbt tests

pytest

Job description

CitiusTech Inc is seeking a Senior QA professional to own test strategy for ETL pipelines, leveraging SQL, Azure Databricks, and AI evaluation to ensure data integrity. You will build automated regression harnesses, define equivalence across raw to domain layers, and lead a team of QA engineers through complex healthcare data validation.

Hybrid role in Chicago, IL, with a focus on scalable validation strategies, risk-based testing, and client-facing artifacts to demonstrate methodology and