{"id":1683523,"url":"https://alion.io/job/scotiabank-manager-data-quality-engineering","title":"Manager, Data Quality Engineering","company":{"id":1754303,"name":"Scotiabank","domain":"scotiabank.com","url":"https://alion.io/company/scotiabank-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Management","role_family":"Management","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":193000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1378},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Incident Management","optional":false},{"name":"Platform Engineering","optional":false},{"name":"SLI/SLO/SLA","optional":false}],"status":"live","first_seen_at":"2026-09-25T02:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-03T18:27:50Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Requisition ID: 271992\nSalary Range: -\nPlease note that the Salary Range shown is a guideline only. Salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.\nJoin a purpose driven winning team, committed to results, in an inclusive and high-performing culture.\nGlobal Banking and Markets\nGlobal 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. Scotiabank’s 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.\nGlobal 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.\nBe 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!\nPurpose\nThe 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.\nYou 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.\nWhat You'll Do\nData Quality Strategy & Engineering Execution:\nDeliver the enterprise data quality engineering solution aligned to Lakehouse architecture, including Databricks, Delta Lake, Unity Catalog, and the Enterprise Data Catalog.\nEstablish scalable data quality capabilities for:\no Data profiling, quality rule authoring, and rules lifecycle management\no Completeness, accuracy, validity, uniqueness, timeliness, consistency, and freshness checks\no Quality thresholds, SLOs, scorecards, and certification criteria for critical data assets\no Data quality issue detection, triage, ownership, remediation, and evidence capture\nEmbed 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.\nPartner with data owners, stewards, engineers, platform teams, and risk stakeholders to define quality expectations for critical data elements and data products.\nDrive adoption of reusable data quality patterns, templates, and APIs that make quality controls easy for engineering teams to implement at scale.\nEnsure data quality controls are measurable, auditable, and aligned with regulatory, reporting, and operational risk requirements.\nData Observability, Monitoring & Trust:\nBuild and operate data observability capabilities that provide visibility into freshness, volume, schema drift, distribution changes, completeness, and reliability across critical pipelines.\nImplement automated profiling, anomaly detection, alerting, and monitoring to identify quality issues before they impact analytics, AI, reporting, or downstream business processes.\nCreate quality dashboards, scorecards, and service-level indicators that help business and technology stakeholders understand data health, trends, and risk exposure.\nLead 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.\nData Quality Productization & Adoption\nProductize data quality capabilities as reusable platform services, including rule libraries, validation templates, metadata-driven controls, and self-service onboarding patterns.\nEnsure data contracts include explicit quality expectations such as schema, SLA/SLO, freshness, completeness, and acceptance criteria.\nPromote trusted, certified, and fit-for-purpose data assets by integrating quality signals into catalog, marketplace, and stewardship workflows.\nWhat You'll Bring\nBachelor’s degree in computer science, engineering, information technology, data management, or a related discipline.\n7+ years of experience in data engineering, data quality, data management, or platform engineering, with 5+ years in a people leadership role.\nExperience in financial services or other highly regulated industries, including familiarity with auditability, controls, regulatory reporting, and operational risk expectations.\nHands-on experience with:\no Databricks, Delta Lake, Unity Catalog, workflows, and Lakehouse data engineering patterns\no Data quality platforms, profiling tools, observability frameworks, rule engines, and monitoring capabilities\no Metadata-driven controls, catalog integration, lineage-aware quality monitoring, and data contract implementation\no Strong understanding of data quality dimensions, critical data elements, quality scorecards, SLAs/SLOs, and issue management workflows\no Practical experience embedding quality controls into batch, streaming, and orchestration workflows\no Cloud platform experience, with Azure preferred\nDeep expertise in data quality engineering, observability, profiling, rule management, monitoring, and remediation at enterprise scale.\nStrong understanding of data governance, metadata, lineage, security, privacy, and regulatory compliance as they relate to data quality controls.\nProven ability to work directly with engineers, data engineers, architects, data owners, stewards, and risk partners to deliver measurable improvements in data trust.\nExceptional written communication skills with strong attention to technical accuracy, operational discipline, and executive-ready reporting.\nInterested?\nIf your experience is closely related but doesn’t align perfectly with every qualification, we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank!\nAt Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That’s why we work to grow and diversify talent and engage employees in a performance-oriented culture.\nWhat's in it for you?\nScotiabank 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.\nLocation(s): United States : Texas : Dallas\nScotiabank 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.\nAt 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.\nScotiabank 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.","description_format":"text","description_chars":8575,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services"],"lifecycle":[{"event":"open","at":"2026-10-02T09:53:50Z"}],"visa":[],"liveness":{"score":71,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.784,"p_room":0.9,"age_days":8,"expected_fill_days":20,"reasons":["conf:4","win:mid","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/scotiabank-manager-data-quality-engineering","json_url":"https://alion.io/job/scotiabank-manager-data-quality-engineering.json","meta":{"generated_at":"2026-10-04T00:23:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":373,"day_limit":5000,"remaining_today":4627,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}