Data Quality Engineering Manager, Lakehouse Platform

Scotiabank; Texas; On-site; USD 140,000 - 190,000; Full time

Job summary

Scotiabank in Dallas seeks a Manager, Data Quality Engineering to design, build and scale enterprise data quality on a Databricks Lakehouse. You will embed automated quality checks, observability, and remediation across pipelines, data products, and regulatory reporting.

You will partner with the Head and VP of Data Management Engineering to drive adoption of quality patterns, templates, and API services, while ensuring measurable improvements in data trust and compliance.

Qualifications

• Bachelor’s 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 Databricks, Delta Lake, Unity Catalog, workflows, and Lakehouse data engineering patterns.
• 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.

Responsibilities

• Lead data quality engineering strategy aligned to Lakehouse architecture (Databricks, Delta Lake, Unity Catalog).
• Build scalable data quality capabilities: profiling, rules lifecycle, thresholds, scorecards, and evidence capture.
• Embed quality checks into end-to-end data pipelines across Bronze, Silver, Gold layers.
• Partner with data owners, stewards, engineers, platform teams, and risk stakeholders on quality expectations.
• Promote reusable data quality patterns, templates, and APIs for scale.
• Ensure quality controls are measurable, auditable, and aligned with regulatory and risk requirements.
• Build and operate data observability capabilities for freshness, volume, drift, and reliability.
• Lead root-cause analysis and continuous improvement for recurring data quality issues.

Skills

People leadership

Hands-on engineering

Executive communication

Cross-functional collaboration

Regulatory awareness

Education

Bachelor’s degree in computer science, engineering, information technology, data management

Tools

Databricks

Delta Lake

Unity Catalog

Azure

Data quality platforms

Job description

Scotiabank in Dallas seeks a Manager, Data Quality Engineering to design, build and scale enterprise data quality on a Databricks Lakehouse. You will embed automated quality checks, observability, and remediation across pipelines, data products, and regulatory reporting.

You will partner with the Head and VP of Data Management Engineering to drive adoption of quality patterns, templates, and API services, while ensuring measurable improvements in data trust and compliance.