Sr. Data Quality Engineering Analyst

Overview

Senior Data Quality Engineering Analyst role focusing on leading validation activities, requirement understanding, test planning, and independent validation of critical business applications. The role drives impact across the Taco Bell business by identifying and resolving key data quality issues within the system landscape. The position reports to the Principal Solutions Architect, Data Platforms.

• Understand complex business processes and technology landscapes, attend daily stand-up meetings, and focus on validation priorities.
• Independently drive validation by creating comprehensive test plans, test scenarios, test cases, setting up test environments, and guiding junior team members on validation approaches.
• Coordinate with onsite and offshore counterparts to complete validation and certification activities within the project timeline.
• Identify and communicate project risks to enable informed decision-making by stakeholders.
• Design and implement a comprehensive data quality framework, including automated validation across batch and real-time pipelines, enforcing quality dimensions (completeness, accuracy, consistency, timeliness) with checks (schema validation, data drift, anomaly detection, referential integrity, and business rule enforcement). Define and track KPIs and SLAs to monitor data health.
• Embed data quality controls across the data lifecycle (ingestion to consumption) for both batch and streaming workloads.
• Develop automated test scripts and deliver automated test solutions within defined time frames.
• Track quality assurance metrics such as defect leakage, defect densities, and open defect counts.

• Bachelor of Science in Information Technology or related field.
• At least 7 years of hands-on experience in Quality Assurance processes.
• At least 5 years of experience with AWS services, JSON and XML files, Snowflake, and related data technologies.
• At least 3 years of test script development experience for automated validation of applications under test.
• Experience validating data quality in key domains such as Restaurant Front of House, Back of House, and Customer data.
• Strong partnership with data engineers to embed quality checks into pipelines.
• Knowledge of developing and maintaining automated testing frameworks for data pipelines and integrating with CI/CD processes for continuous validation.
• Knowledge of reusable validation patterns using tools like dbt, Great Expectations, or similar frameworks.
• Willingness to train and mentor junior resources and expand technical knowledge across the organization.
• Curiosity to learn new technologies and collaborate with subject matter experts.

• Hybrid work schedule and year-round flex day Friday.
• Onsite amenities included (dining center, game room, dry cleaning, laundry services, carwash, gym with fitness classes and personal trainer).
• Up to 4 weeks of vacation per year plus holidays and time off for volunteering.
• Tuition reimbursement and education benefits.
• Generous parental leave and adoption assistance.
• 401(k) with 6% matching and immediate vesting.
• Comprehensive medical & dental benefits, including prescription drug coverage and 100% preventive care.

Salary Range: $120,200 to $141,540 annually, plus bonus eligibility and benefits.

Taco Bell is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or other protected characteristics. Taco Bell is committed to providing reasonable accommodations to applicants with disabilities or special needs.

Employment eligibility to work in the U.S. is required. Visa sponsorship is not pursued for this position.