Senior Data QA Architect

 

We currently have a career opportunity for a Senior Data QA Architect to join our team.

Job Overview:

A Senior Data QA Architect is expected to be knowledgeable in different Data platforms and enterprise QA strategy . You must have expert infrastructure architecture, client presales / presentation, team management and thought leadership skills.

Hands-on position focusing on setting up standardized processes for data quality testing, understanding ETL/ELT test requirements from various programs/pillars and driving the process for continuous data testing. Create test strategy for manual and automation testing, execute test plans & scripts to validate data quality and data integrity as the data is transitioned through the ETL process. Create test automation for data validations and integrate test automation with the devOps pipelines for regression testing. Test the compliance of information flows and data stores against data quality standards, and effectively communicate test progress, test results to the project stakeholders and management.

You will provide best-fit architectural solutions for one or more projects; you will assist in defining scope and sizing of work; and anchor Proof of Concept developments. You will provide solution architecture for the business problem, platform integration with third party services, designing and developing complex features for clients' business needs. You will collaborate with some of the best talent in the industry to create and implement innovative high quality solutions, participate in Sales and various pursuits focused on our clients' business needs.

You will also contribute in a variety of roles in thought leadership, mentorship, systems analysis, architecture, design, configuration, testing, debugging, and documentation. You will challenge your leading edge solutions, consultative and business skills through the diversity of work in multiple industry domains. This role is considered part of the Business Unit Senior Leadership team and may mentor junior architects and other delivery team members.

Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

 

Data QA COE Development: Establish and lead the Data QA COE, document test standards and best practices across the program. Develop data quality testing frameworks, addressing key aspects such as data integrity, accuracy, completeness, timeliness, and consistency.

Manual & Automated Test Strategy: Design comprehensive test strategies, including both manual and automated testing, tailored for data pipelines, ETL/ELT processes, for on-prem and cloud data platforms.

Test Data Management: Manage and optimize test data management processes to support various testing requirements.

Data Quality Testing: Conduct comprehensive data quality testing to ensure data integrity, consistency, and accuracy. Implement data testing tools and frameworks such as dbt, and custom-built frameworks with java/Python for testing data pipelines and integrations.

Collaboration: Work closely with data engineers, analysts, and other stakeholders to identify quality requirements and ensure alignment. Partner with business and technical teams to align data testing initiatives with organizational goals and objectives.

Documentation: Maintain detailed documentation of QA processes, test cases, and defect tracking for continuous improvement. 

Test Data Management: Develop and oversee test data management strategies, including creating and maintaining reusable test data sets for multiple test scenarios.

Test planning:  Test requirement analysis, Test Estimation, Test Planning, support and mentor team to design test cases, traceability matrix, execution of test cases and support of Extract, Transform, Load (ETL/ELT) processes across multiple environments.

Client trusted Advisor: Serve as a strategic advisor to clients and stakeholders, providing expert recommendations on data quality assurance, governance, and testing best practices.

Build and Lead a High-Performing Team: Mentor, and manage a team of data QA engineers, fostering a collaborative and innovative work environment.

Innovation: Drive continuous improvement in testing processes by evaluating and adopting emerging technologies and best practices.

• Deep understanding of data testing techniques, including data quality