Data Warehouse QA Lead (ETL Testing)

Rising Tide Digital, Inc.; Taguig; On-site; PHP 1,500,000 - 2,100,000; Full time

Job summary

Rising Tide Digital, Inc. seeks a seasoned Lead for Enterprise Data Warehouse QA to steer the end-to-end QA program.

You will drive shift-left testing, design acceptance criteria, and integrate QA responsibilities with the Enhancement Team delivery process across multiple data platforms. You will oversee QA leads and automation engineers, defining metrics, governance, and an AI-enabled testing approach while collaborating with US and regional stakeholders to ensure release readiness and high

Qualifications

• 10+ years in software or data quality assurance.
• 4+ years leading QA teams in data engineering/data warehousing.
• Hands-on data testing with SQL and Python.
• Experience running QA in a managed/shared service model with cross-border stakeholders.
• Proven ability to set quality metrics and communicate to executives.

Responsibilities

• Define and report QA service level objectives and improvement plan.
• Own data quality CI/CD gates and the framework to enforce them.
• Represent QA in governance with senior stakeholders.
• Plan capacity across delivery teams and manage QA commitments.
• Set test strategy, standards and tooling for data testing across systems.
• Maintain QA knowledge base, onboarding and upskilling, including Databricks readiness.
• Recruit, coach QA leads and engineers; conduct performance reviews.
• Promote AI/LLM tools for test design with validation standards.
• Escalate quality risks and lead root-cause analysis.
• Report practice status and insights to leadership.

Skills

Data QA leadership

SQL

Python

Azure DevOps

Agile/Scrum

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Computer Engineering or related field

Tools

Databricks Lakehouse

dbt

Fivetran

Python

Azure DevOps

Job description

About the role

Lead the Enterprise Data Warehouse (EDW) QA practice end to end, including the QA Leads embedded in each delivery team, the automation engineers, and the shared engineer pool. Own and continuously improve the shift-left, test-driven operating model: QA engagement from backlog refinement, acceptance criteria and test design agreed before code is written, and stage-by-stage QA responsibilities integrated with the Enhancement Team delivery process.

Key responsibilities

• Define, baseline and report the practice service level objectives, including first-pass quality rate, defect escape rate and automated regression coverage, and drive the improvement plan against them
• Own the data quality CI/CD gate standards (accuracy, latency, performance, security) applied on every environment promotion, and the framework used to enforce them
• Represent QA in the service governance cadence with US Enterprise Data stakeholders: steering committee, delivery reviews, escalations and maturity assessments
• Plan capacity across the four delivery teams, balance the shared engineer pool against demand, and manage sprint level QA commitments
• Set the test strategy, standards, templates and tooling for data validation, regression, source to target, performance and security testing across SQL Server, SSIS, dbt, Fivetran, Python ingestion and the Databricks Lakehouse
• Own the QA knowledge base, onboarding programme and skills matrix; run the certification and upskilling track including Databricks readiness
• Recruit, coach, appraise and develop QA Leads and engineers; run performance and career conversations
• Champion responsible use of AI/LLM-powered tools (e.g., Claude, Copilot) for test design, synthetic data and query review, with validation standards for AI-assisted output before use in production test cycles
• Act as the escalation point for quality risks, release readiness disputes and post-production defects; lead root cause analysis and corrective action
• Communicate practice status, metrics and risks to ABC leadership and US stakeholders; present demos, timelines and insights

Requirements:

• At least 10+ years in software or data quality assurance, with 4+ years leading QA teams in a data engineering or data warehousing environment
• Proven track record establishing or transforming a QA practice, including shift-left or test-driven approaches and QA embedded in agile delivery teams
• Hands-on background in data testing with SQL and Python; able to review test designs and queries and challenge test coverage credibly
• Experience defining and reporting quality metrics and service level objectives to senior stakeholders
• Experience running QA in a managed service or shared service model with cross-border stakeholders
• Strong people leadership: hiring, coaching, performance management and succession planning
• Excellent verbal and written communication, including the ability to present to executive and non-technical audiences
• Familiarity with Agile/Scrum delivery and with Azure DevOps or equivalent work management tooling
• Bachelor's Degree in Computer Science, Information Systems, Computer Engineering or related field