Lead Data Tester (Databricks)

Rising Tide Digital Inc; Taguig; On-site; PHP 1,200,000 - 2,400,000; Full time

Job summary

ABC is seeking a seasoned EDW QA leader to drive end-to-end QA across multiple delivery teams. You will own the QA practice, automate where possible, and align testing with governance and data quality standards.

Role requires deep data quality testing expertise, strong leadership, and the ability to communicate with executive stakeholders. Local Manila presence and cross-border collaboration are expected.

Qualifications

• 10+ years in software or data quality assurance with 4+ years leading QA teams.
• Hands-on data testing with SQL and Python.
• Experience defining and reporting quality metrics and service level objectives to senior stakeholders.
• Experience running QA in a managed/shared service model with cross-border stakeholders.
• Strong people leadership including hiring, coaching and succession planning.
• Excellent written and verbal communication for executive audiences.
• Familiar with Agile/Scrum and Azure DevOps or equivalent tooling.
• Bachelor’s degree in CS/IS/Engineering or related field.

Responsibilities

• Lead the EDW QA practice end to end, including QA Leads and automation engineers.
• Own and improve the shift-left, test-driven operating model across the Delivery teams.
• Define, baseline, and report service level objectives and defect metrics.
• Own data quality CI/CD gate standards and enforcement framework.
• Represent QA in governance cadence with US Enterprise Data stakeholders.
• Plan capacity across four delivery teams and manage sprint-level QA commitments.
• Set testing strategy and tooling for data validation, regression, performance and security testing with SQL Server, SSIS, dbt, Fivetran, Python, and Databricks.
• Own QA knowledge base, onboarding, and upskilling including Databricks readiness.
• Champion AI/LLM-powered tool usage for test design with validation before production cycles.

Skills

Leadership

QA management

Data testing

SQL

Python

Quality metrics

Agile/Scrum

Azure DevOps

Education

Bachelor's Degree in CS/IS/Engineering

Tools

Databricks

Azure DevOps

Job description

Owns the Enterprise Data Warehouse (EDW) QA practice at ABC. Accountable for the shift-left, test-driven operating model, the service level objectives the practice commits to, and the development of the QA Leads and engineers in the practice.

Job Description

• Lead the 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
• 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
• 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

Required Key Knowledge Skills/ Experience

• 10+ years in software or data quality assurance, with 4+ years leading QA teams in a data engineering or data warehousing environment
• 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

Preferred Experience

• Hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog, Databricks Workflows/Jobs) or other Big Data/Spark platforms
• Banking or financial services industry experience

Education requirements

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