Technical Lead – QA / Data Testing (Snowflake, Databricks, Azure Data Factory)

Job Title: Technical Lead – QA / Data Testing

Location : Atlanta, GA (100% Remote work accepted from anywhere in US)

Duration : 12+ Months Contract

Teams Meeting Interview

Job Description:

The Technical Lead is the hands-on technical authority for the offshore QA team. This role owns the technical direction for testing across Snowflake, Databricks, and Azure Data Factory, sets standards for test design and automation, and serves as the primary technical escalation point for complex data quality issues, schema changes, and root cause analysis. The Technical Lead partners closely with the Onshore Team Lead on prioritization, delivery, and stakeholder communication

.
Key Responsibiliti

• es
  Define the technical testing strategy across Snowflake, Databricks, and Azure Data Factory, including data quality frameworks, validation patterns, and test data management approach
• es.Establish and enforce QA standards, best practices, and reusable accelerators (test harnesses, validation libraries, SQL templates) for the te
• am.Provide technical oversight on test design for functional and regression testing, schema evolution, source-to-target validation, reconciliation, and backfill/reprocessing verificati

Interested in remote work opportunities in QA & Testing? Discover QA & Testing Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

• on.Lead complex root cause analysis for data quality incidents, including impact assessment, and coordinate resolution with data engineering tea
• ms.Own the automation roadmap; review and approve Python-based test scripts, SQL-based validations, and DevOps pipeline integrations (Azure DevOp
• s).Mentor the Sr. QA Engineer, Automation QA Engineer, and QA Engineers/Testers; perform code and test case revie
• ws.Partner with the Onshore Team Lead on sprint planning, capacity, risk identification, and stakeholder communicati
• on.Monitor data quality KPIs, dashboards, and alerts; drive continuous improvement initiatives based on trends and incident patter
• ns.Support schema changes, backward compatibility analysis, and impact assessment for upstream/downstream consume

rs.
Required Skills & Experi

• ence
  5–8 years of QA / data testing experience, with at least 2 years in a technical lead or senior IC capa
• city.Strong hands-on experience testing data pipelines on Snowflake, Databricks (PySpark / SQL), and Azure Data Fac
• tory.Advanced SQL: complex joins, window functions, reconciliation queries, and performance-aware query wri

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• ting.Proficiency in Python for test automation, including frameworks such as pytest and libraries such as pandas, Great Expectations, or equiva
• lent.Experience with Azure DevOps (or equivalent CI/CD) for automated test execution, pipeline integration, and repor
• ting.Solid understanding of data warehousing concepts, ELT/ETL patterns, schema evolution, slowly changing dimensions, and data reconcilia
• tion.Demonstrated experience leading RCA for data incidents and communicating findings to technical and business stakehol
• ders.Strong written and verbal communication skills; able to work across onshore/offshore time z

ones.
Nice t

• o Have
  Experience with data quality tools such as Great Expectations, Soda, Monte Carlo, or Colli
• bra DQ.Exposure to data governance, lineage, and metadata management t
• ooling.Azure certifications (DP-203, AZ-400) or Snowflake / Databricks certific
• ations.Experience with Git-based workflows, code reviews, and trunk-based development pra