BI Architect

A leading organization is seeking a Data Quality Assurance Engineer to join its growing Data & Analytics team in a hybrid work environment. This full-time opportunity offers the chance to work with modern data warehousing technologies, cloud data platforms, ETL processes, Master Data Management solutions, and business intelligence tools that support critical enterprise initiatives. This role is ideal for someone who enjoys solving complex data challenges and ensuring information accuracy across large-scale systems. The successful candidate will play a key role in establishing and expanding enterprise data quality standards while partnering closely with analytics, architecture, engineering, and business teams. This is an opportunity to make a measurable impact, gain visibility across multiple departments, and influence the future direction of data quality practices.

Required Skills & Experience:

Strong hands-on experience with ETL testing and data validation Advanced SQL skills for data analysis, reconciliation, and verification Experience working with dimensional data models and data warehouses Ability to execute data migration and data integrity testing initiatives Experience creating test plans, test cases, and regression testing strategies Strong root cause analysis and troubleshooting skills Experience working within Agile delivery environments Excellent communication and stakeholder management skills Desired Skills & Experience:

Experience with Amazon Redshift or other cloud-based data warehouses Exposure to Master Data Management (MDM) platforms Experience validating BI dashboards and enterprise reporting solutions Knowledge of Tableau, Power BI, Hex, or similar analytics platforms Experience with Python, PowerShell, JavaScript, C#, or similar scripting languages Experience with SSIS packages or related ETL technologies Background in data quality frameworks and automation initiatives What You Will Be Doing:

Validate data movement between source and target systems Execute ETL, regression, migration, and performance testing activities Perform data reconciliation and integrity checks across enterprise platforms Develop and maintain testing documentation and test strategies Partner with engineering teams to identify and resolve data issues Support analytics teams through report and dashboard validation Help establish best practices for data quality and testing governance Tech Breakdown:

40% SQL & Data Validation 25% ETL Testing & Data Integration 20% Data Warehousing & Cloud Platforms 15% Analytics & Reporting Tools Daily Responsibilities:

70% Hands On Testing & Validation 10% Test Planning & Documentation 20% Team Collaboration & Stakeholder Engagement The Offer Bonus eligible You will receive the following benefits: Medical, Dental, and Vision Insurance Vacation Time 401(k) Program Paid Holidays Professional Development Opportunities Stock Options (where applicable) Applicants must be currently authorized to work in the US on a full-time basis now and in the future. For applications and inquiries, contact:View email address on click.appcast.io