Senior Data Quality & Validation Lead

Sapsf; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Sapsf is seeking a Senior Test Lead to own data quality across complex ETL pipelines in a US-based environment. You will design validation strategies, define acceptance criteria, and govern quality gates to prevent defects from reaching production.

You will build automated validation suites, review transformation logic, and collaborate with data engineers, analysts, and product teams to ensure accurate, timely data for dashboards and decisions.

Qualifications

• 6–10 years of combined experience in data engineering, data QA, or analytics engineering.
• Owned data quality for at least one production system end-to-end.
• Defined acceptance criteria and quality gates for releases.
• Built automated validation suites that caught production issues.
• Comfortable reading and reasoning about pipeline code.

Responsibilities

• Validate transformation logic against business rules and documented specifications.
• Perform source-to-target data reconciliation — verifying completeness, accuracy, and consistency.
• Identify data anomalies, silent failures, and drift in pipeline outputs.
• Build and maintain automated data validation suites that run as part of pipeline runs.
• Conduct periodic data audits beyond automated checks.

Skills

SQL-Advanced

AWS Data Services

Python scripting

ETL/ELT concepts

Data profiling

Validation frameworks

Git

Tools

Git

Airflow

dbt

Job description

Sapsf is seeking a Senior Test Lead to own data quality across complex ETL pipelines in a US-based environment. You will design validation strategies, define acceptance criteria, and govern quality gates to prevent defects from reaching production.

You will build automated validation suites, review transformation logic, and collaborate with data engineers, analysts, and product teams to ensure accurate, timely data for dashboards and decisions.