WealthTech Data QA Lead — AI-Driven Quality

Incedo Inc.; Austin (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Incedo Inc. is seeking an experienced QA Lead to own data and pipeline quality across our wealth management technology platform.

You will design and lead QA frameworks, own test strategy for data pipelines, and ensure integrity of financial data used by advisors, clients, and operations teams. The ideal candidate has a wealth management background and will actively leverage AI tooling to improve coverage, speed, and the quality of QA output.

Qualifications

• 5-8 years of experience in data quality, QA engineering, or data testing, with wealth management data exposure.
• Hands-on experience validating wealth management datasets including positions, transactions, accounts, clients, advisors, and security master data.
• Experience designing and executing reconciliation QA processes across custodians, platforms, or internal financial systems.
• Proficiency with SQL and Python for building automated data validation and testing workflows.
• Experience working within Microsoft Azure cloud environments (Azure Data Factory, Azure Data Lake, or equivalent).
• Strong understanding of ETL/ELT pipeline architecture and QA at each layer of a data pipeline.
• Demonstrated use of AI tools in day-to-day QA work to improve coverage and efficiency.
• Strong documentation skills for test plans, data quality 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 and implement scalable test frameworks covering data validation, schema integrity, transformation accuracy, and business rule compliance.
• Define QA standards, best practices, and documentation requirements for the data engineering team.
• Lead test planning, test case design, and execution across new pipeline builds and platform changes.
• Validate the accuracy and completeness of wealth management datasets including positions, transactions, accounts, clients, advisors, and security master data.
• Design and run reconciliation QA processes to surface breaks between custodians, internal systems, and third-party data providers.
• Build automated data quality checks, threshold alerts, and validation rules to catch issues before they reach advisors or clients.
• Investigate and document root causes of data quality failures and partner with engineering to drive permanent fixes.
• Lead QA efforts across data ingestion, transformation, and delivery layers within the Microsoft Azure and Databricks environment.
• Design regression test suites to ensure pipeline changes don't introduce data quality regressions.
• Collaborate with data engineers during development to shift quality left — embedding QA checkpoints earlier in the build cycle.
• Validate data outputs against business requirements and financial data specifications.

Skills

SQL

Python

Azure

Data QA

Data pipelines

Testing frameworks

Documentation

Tools

Azure Data Factory

Azure Data Lake

Databricks

Delta Lake

Job description

Incedo Inc. is seeking an experienced QA Lead to own data and pipeline quality across our wealth management technology platform.

You will design and lead QA frameworks, own test strategy for data pipelines, and ensure integrity of financial data used by advisors, clients, and operations teams. The ideal candidate has a wealth management background and will actively leverage AI tooling to improve coverage, speed, and the quality of QA output.