AI-Driven QA Lead, Wealth Management Data Pipelines

Incedo Inc.; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Incedo Inc. is seeking an experienced QA Lead to own data quality across our wealth management platform. You will design and lead QA frameworks, own test strategy for data pipelines, and ensure data integrity before downstream use.

The role requires hands-on testing of wealth management data, reconciliation QA, and strong SQL/Python skills in an Azure/Databricks environment. You will mentor juniors and drive a quality-first culture.

Qualifications

• 5–8 years of experience in data quality, QA engineering, or data testing in wealth management domains.
• Hands-on experience validating wealth management datasets (positions, transactions, accounts, clients, advisors, security master data).
• Experience designing and executing reconciliation QA processes across custodians or internal systems.
• Proficiency with SQL and at least one scripting language (Python preferred) for automated data validation and testing.
• Experience in Microsoft Azure cloud environments (Azure Data Factory/Data Lake) and testing at all data pipeline layers.
• Demonstrated use of AI tools in QA to improve coverage and efficiency.
• Strong documentation skills: test plans, runbooks, and root-cause analyses.

Responsibilities

• Own and evolve the end-to-end QA strategy for data pipelines, ETL/ELT workflows, and financial data integrations.
• Design scalable test frameworks covering data validation, schema integrity, transformation accuracy, and business rule compliance.
• Define QA standards, best practices, and documentation for the data engineering team.
• Lead test planning, test case design, and execution across pipeline builds and platform changes.
• Validate accuracy and completeness of wealth management datasets (positions, transactions, accounts, clients, advisors, security data).
• Design and run reconciliation QA processes to surface breaks between custodians and internal/third-party data.
• Build automated data quality checks, threshold alerts, and validation rules to catch issues before downstream use.
• Investigate root causes of data quality failures and drive permanent fixes with engineering.
• Lead QA across data ingestion, transformation, and delivery in Azure and Databricks environments.
• Design regression test suites to prevent data quality regressions after changes.
• Collaborate with data engineers to shift left QA checkpoints in the build cycle.
• Validate data outputs against business requirements and financial data specs.

Skills

SQL proficiency

Python scripting

Data validation

ETL/ELT testing

QA leadership

Data quality awareness

A/B/C testing

Attention to detail

Documentation

Tools

Azure Data Factory

Azure Data Lake

Databricks

Delta Lake

Job description

Incedo Inc. is seeking an experienced QA Lead to own data quality across our wealth management platform. You will design and lead QA frameworks, own test strategy for data pipelines, and ensure data integrity before downstream use.

The role requires hands-on testing of wealth management data, reconciliation QA, and strong SQL/Python skills in an Azure/Databricks environment. You will mentor juniors and drive a quality-first culture.