Who We Are Looking For:
We are seeking an
Data Quality engineer
responsible for ensuring the accuracy, completeness, consistency, and reliability of critical business data across enterprise systems. In this role, your primary focus will be to perform
data quality (DQ) checks
, analyze data issues, support remediation, and collaborate with business, operations, and technology teams to improve data quality outcomes.
This role requires
12-15 years of experience
in data quality, data analysis, data governance, or related enterprise data roles, with strong hands-on experience in data validation, profiling, reconciliation, issue analysis, and reporting. The ideal candidate will be a strong
individual contributor
with
working knowledge of cloud platforms
and
AI concepts
to support modern data environments, automation opportunities, and improved monitoring practices.
What You Will Be Responsible For:
Data Quality Operations & Controls
Perform
end-to-end data quality checks
across critical datasets to validate accuracy, completeness, consistency, timeliness, and integrity
Execute and maintain
data quality rules, thresholds, scorecards, and control reports
to monitor data health across source and downstream systems
Conduct
data profiling, reconciliation, and trend analysis
to identify anomalies, exceptions, duplicates, and missing or invalid records
Data Analysis, Investigation & Remediation
Investigate
data quality issues
, perform root-cause analysis, and coordinate with source system owners, data engineers, and business users to support timely resolution
Run and optimize
SQL-based validations
, reconciliation checks, and exception reporting across multiple data sources and business processes
Support remediation activities by defining and tracking:
Issue logs, defect trends, and remediation plans
Escalations, ownership tracking, and closure validation
Prepare
data quality reports, dashboards, and management updates
that communicate issue status, trends, business impact, and progress against remediation actions
Work with stakeholders to
improve data collection, validation, and control processes
and support best practices for high-quality data management
Data Governance, Reporting & Enablement:
Support
data governance standards
, including data definitions, business rules, ownership alignment, and control procedures
Work with technology teams to embed
data quality controls
into data pipelines, reporting processes, and cloud-based data platforms
Monitor and report on
data quality KPIs
, SLA adherence, recurring defects, and control effectiveness for key business processes
Contribute ideas on using
cloud capabilities and AI-enabled techniques
to improve anomaly detection, monitoring efficiency, reporting, and data quality operations
Stakeholder Engagement & Continuous Improvement:
Work closely with business users, operations teams, and technology partners to understand
critical data issues
and align remediation priorities
Support
continuous improvement initiatives
to strengthen data controls, reduce recurring defects, and improve trust in enterprise data
Follow up across teams to support
timely closure of data issues
, maintain clear tracking, and provide transparent status updates
Stay current on evolving practices in
data quality, cloud data platforms, and AI-assisted data operations
and recommend practical improvements where appropriate.
Strong hands-on experience with
data quality checks
, data profiling, reconciliation, validation rules, issue analysis, and root-cause investigation
Good understanding of
cloud platforms
such as Azure, AWS, or GCP, especially in relation to data platforms, storage, reporting, and control automation
Working knowledge of
AI / ML concepts
, including anomaly detection, pattern recognition, supervised and unsupervised learning basics, and how AI can support data monitoring and operational efficiency
Understanding of
AI model and data evaluation concepts
, including data drift, model performance monitoring, false positives / false negatives, and quality metrics relevant to AI-driven data checks
Awareness of
Generative AI and prompt engineering basics
, including the ability to use AI assistants responsibly for data analysis support, documentation, and productivity enhancement
Familiarity with
responsible AI and AI governance principles
, including explainability, bias awareness, data privacy, and appropriate human oversight in AI-supported workflows
Solid knowledge of
SQL, data analysis, reporting, metadata, and enterprise data flows
across upstream and downstream systems
Strong communication and stakeholder management skills, with the ability to explain
data issues, business impact, and remediation actions
clearly to both technical and non-technical audiences.
Experience with
data governance frameworks
, control processes, and data quality metrics in enterprise environments
Exposure to
cloud-based data tools
, data warehouses, data lakes, or reporting platforms is preferred
Experience using
automation, analytics, or AI-assisted techniques
to improve data validation and monitoring is a plus
Relevant certifications in cloud, data management, data governance, or analytics are a plus
Education & Preferred Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
12-15 years of experience
in data quality, data analysis, data governance, reporting, or related enterprise data roles
Are you the right candidate? Yes!
We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.
Why this role is important to us:
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.
Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at
StateStreet.com/careers
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