Manager, Data Quality Engineering

Requisition ID: 271992

Salary Range:-

Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors including but not limited to the successful candidates relevant knowledge skills and experience.

Join a purpose driven winning team committed to results in an inclusive and high-performing culture.

Global Banking and Markets

Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America operating globally for over 100 years. Scotiabanks strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.
Global Banking & Markets provides a full range of investment banking credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing mergers & acquisitions corporate banking institutional equity sales trading and research fixed income products derivatives energy foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.
Be part of an innovative Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries! We work together to drive ambition for every future!

Purpose

The Manager Data Quality Engineering is a hands-on engineering people leader responsible for designing building and scaling enterprise data quality capabilities on a modern Databricks Lakehouse platform. This role is critical to strengthening trust in data by embedding automated quality controls observability and remediation workflows across data pipelines data products and regulatory reporting processes.

You will partner with the Head and VP of Data Management Engineering to drive execution and adoption of enterprise data quality capabilities including profiling rule management anomaly detection quality scorecards data observability incident management and quality controls integrated directly into Lakehouse engineering workflows.

What Youll Do

Data Quality Strategy & Engineering Execution:
Deliver the enterprise data quality engineering solution aligned to Lakehouse architecture including Databricks Delta Lake Unity Catalog and the Enterprise Data Catalog.
Establish scalable data quality capabilities for:
o Data profiling quality rule authoring and rules lifecycle management
o Completeness accuracy validity uniqueness timeliness consistency and freshness checks
o Quality thresholds SLOs scorecards and certification criteria for critical data assets
o Data quality issue detection triage ownership remediation and evidence capture
Embed automated quality checks into end-to-end data pipelines including Bronze Silver and Gold layers so issues are detected early and prevented from flowing downstream.
Partner with data owners stewards engineers platform teams and risk stakeholders to define quality expectations for critical data elements and data products.
Drive adoption of reusable data quality patterns templates and APIs that make quality controls easy for engineering teams to implement at scale.
Ensure data quality controls are measurable auditable and aligned with regulatory reporting and operational risk requirements.

Data Observability Monitoring & Trust:
Build and operate data observability capabilities that provide visibility into freshness volume schema drift distribution changes completeness and reliability across critical pipelines.
Implement automated profiling anomaly detection alerting and monitoring to identify quality issues before they impact analytics AI reporting or downstream business processes.
Create quality dashboards scorecards and service-level indicators that help business and technology stakeholders understand data health trends and risk exposure.
Lead root-cause analysis and continuous improvement efforts for recurring data quality issues partnering with source system pipeline and product teams to eliminate defects at the source.
Data Quality Productization & Adoption
Productize data quality capabilities as reusable platform services including rule libraries validation templates metadata-driven controls and self-service onboarding patterns.
Ensure data contracts include explicit quality expectations such as schema SLA/SLO freshness completeness and acceptance criteria.
Promote trusted certified and fit-for-purpose data assets by integrating quality signals into catalog marketplace and stewardship workflows.

What Youll Bring

Bachelors degree in computer science engineering information technology data management or a related discipline.
7 years of experience in data engineering data quality data management or platform engineering with 5 years in a people leadership role.
Experience in financial services or other highly regulated industries including familiarity with auditability controls regulatory reporting and operational risk expectations.
Hands-on experience with:
o Databricks Delta Lake Unity Catalog workflows and Lakehouse data engineering patterns
o Data quality platforms profiling tools observability frameworks rule engines and monitoring capabilities
o Metadata-driven controls catalog integration lineage-aware quality monitoring and data contract implementation
o Strong understanding of data quality dimensions critical data elements quality scorecards SLAs/SLOs and issue management workflows
o Practical experience embedding quality controls into batch streaming and orchestration workflows
o Cloud platform experience with Azure preferred
Deep expertise in data quality engineering observability profiling rule management monitoring and remediation at enterprise scale.
Strong understanding of data governance metadata lineage security privacy and regulatory compliance as they relate to data quality controls.
Proven ability to work directly with engineers data engineers architects data owners stewards and risk partners to deliver measurable improvements in data trust.
Exceptional written communication skills with strong attention to technical accuracy operational discipline and executive-ready reporting.

Interested

If your experience is closely related but doesnt align perfectly with every qualification we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank!
At Scotiabank every employee is empowered to reach their fullest potential respected for who they are and embraced for their differences. Thats why we work to grow and diversify talent and engage employees in a performance-oriented culture.

Whats in it for you

Scotiabank wants you to be able to bring your best self to work and life every day. With a focus on holistic well-being our many flexible benefit programs are designed to help support your unique family financial physical mental and social health needs.

#Dallas

Location(s): United States : Texas : Dallas

Scotiabank is a leading bank in the Americas. Guided by our purpose: for every future we help our customers their families and their communities achieve success through a broad range of advice products and services including personal and commercial banking wealth management and private banking corporate and investment banking and capital markets.

At Scotiabank we value the unique skills and experiences each individual brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including but not limited to an accessible interview site alternate format documents ASL Interpreter or Assistive Technology) during the recruitment and selection process please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however only those candidates who are selected for an interview will be contacted.

Scotiabank is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex sexual orientation gender identity national origin disability veteran status or any other characteristic protected by federal state or local law.