{"id":168389,"url":"https://alion.io/job/td-bank-data-platform-engineering-manager","title":"Data Platform Engineering Manager","company":{"id":3167,"name":"TD Bank Group","domain":"td.com","url":"https://alion.io/company/td-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":620,"ghost_share":0.005,"stale_share":0.132,"repost_share":0.037,"time_to_fill_p50_days":13,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":165000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":42},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"ITIL","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-08-26T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-24T17:33:57Z","board_verified":true,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":59},"description":"Work Location:\nToronto, Ontario, CanadaHours:\n37.5Line of Business:\nTechnology SolutionsPay Details:\n$115,600 - $163,200 CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.\nAs a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.\nJob Description:\nThe Data Platform Engineering Manager role is responsible for designing, building, and operating the enterprise technology reference data platform that serves as the foundation for technology governance, reporting, analytics, metrics, and decision-making. Reporting to the Head of Technology DataManagement, this role leads the onboarding, integration, transformation, and delivery of technology data from infrastructure, cyber, cloud, AI, and enterprise systems into a Databricks-based data fabric.\nThe role is accountable for establishing scalable data ingestion patterns, integration frameworks, platform engineering standards, and operational controls that ensure technology data is accurate, accessible, reliable, secure, and consumable. This position plays a critical leadership role in enabling enterprise-wide data products, dashboards, KPIs, risk reporting, and operational insights through modern data engineering and platform capabilities.\nKEY ACOUNTABILITIES\nData Platform Strategy & Enablement\nLead the design, implementation, and evolution of the Databricks-based technology reference data platform.\n\nDevelop platform standards, engineering patterns, and operating procedures that support enterprise scalability and sustainability.\n\nEstablish a modern data ecosystem capable of supporting governance, reporting, analytics, and AI-driven use cases.\n\nDrive platform modernization initiatives that improve performance, automation, resilience, and user experience.\n\nData Ingestion & System Onboarding\nLead onboarding of technology systems of record into the enterprise data platform.\n\nDesign and implement scalable integration patterns including APIs, event-drivenarchitectures, data streaming, and zero-copy data sharing.\n\nEstablish standards for source system connectivity, transformation, validation, and data movement.\n\nPartner with source system owners to ensure data is delivered accurately, securely, and efficiently.\n\nData Engineering & Transformation\nDesign, build, and manage data pipelines that transform disparate source data into standardized enterprise data assets.\n\nDevelop reusable ingestion and transformation frameworks that accelerate onboarding of new data sources.\n\nImplement automated controls to ensure data quality, integrity, completeness, and consistency.\n\nOptimize data processing and storage solutions to support large-scale technology data domains.\n\nData Operations & Reliability\nEstablish monitoring and observability capabilities to ensure platform health and data reliability.\n\nDefine operational support processes, service-level agreements, and issue management procedures.\n\nLead remediation efforts for data delivery issues, performance bottlenecks, and platform incidents.\n\nEnsure platform availability, resiliency, and business continuity requirements are met.\n\nData Security, Controls & Compliance\nEnsure compliance with enterprise security, data protection, and regulatory requirements.\n\nImplement access controls, encryption standards, audit logging, and monitoring capabilities.\n\nPartner with Risk, Security, and Compliance teams to support governance objectives.\n\nEnsure adherence to enterprise technology and data management standards.\n\nEnablement of Data Products\nSupport development and operationalization of technology data products.\n\nEnsure data products are sourced from authoritative systems and delivered through governed engineering processes.\n\nBuild reusable data services supporting reporting, analytics, APIs, and business intelligence platforms.\n\nEnable self-service access to trusted enterprise technology data where appropriate.\n\nPartnership & Stakeholder Engagement\nPartner with Data Architecture, Governance, Reporting, and Business Intelligence teams to deliver integrated solutions.\n\nCollaborate with Infrastructure, Cybersecurity, Cloud, Engineering, and Enterprise Architecture teams.\n\nParticipate in enterprise governance forums and provide technical leadership on platform capabilities and integration approaches.\n\nInfluence platform and engineering decisions that improve enterprise data maturity.\n\nEmployee / Team Accountabilities\nBuild and lead a high-performing team of data engineers, platform engineers, integration specialists, andDataOpsprofessionals.\n\nEstablish clear team objectives, performance measures, and development plans.\n\nFoster a culture of accountability, innovation, automation, and continuous improvement.\n\nManage team capacity, prioritization, resource allocation, and delivery commitments.\n\nEnsure engineering teams follow enterprise standards, controls, and best practices.\n\nDevelop technical talent and mentoring programs to strengthen engineering capabilities.\n\nPromote collaboration across architecture, governance, analytics, and technology teams.\n\nEDUCATION & EXPERIENCE\nBachelor's Degree in Computer Science, Engineering, Information Systems, Software Engineering, Data Science, or a related discipline.\n\nMaster's Degree preferred in Computer Science, Data Engineering, Information Technology, or a related field.\n\nRelevant certifications preferred:\n\nDatabricks Data Engineer Professional\n\nAzure Data Engineer Associate\n\nAWS Data Analytics or Data Engineering Certification\n\nGoogle Professional Data Engineer\n\nSnowflake, Kafka, or Streaming Technology Certifications\n\nITIL Foundation\n\n8-12+ years of experience in data engineering, data platform delivery, software engineering, cloud data platforms, or related technology roles.\n\n5+ years leading engineering or platform teams in large enterprise environments.\n\nProven experience designing and implementing enterprise data lakes, data fabrics, or cloud-native data platforms such as Databricks.\n\nStrong experience building APIs, event-driven architectures, streaming platforms, and modern integration solutions.\n\nHands-on experience developing scalable ETL/ELT pipelines and data transformation frameworks.\n\nExperience with cloud ecosystems including Azure, AWS, or Google Cloud.\n\nStrong understanding ofDataOps, observability, monitoring, automation, and platform operations.\n\nExperience supporting enterprise reporting, analytics, AI, and machine learning use cases through modern data platforms.\n\nExperience working in highly regulated organizations with strong governance, security, and compliance requirements.\n\nExcellent stakeholder management, communication, and leadership skills.\n\nWho We Are:\nTD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.\nOur Total Rewards Package\nOur Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more\nAdditional Information:\nWe’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.\nPlease be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.\nColleague Development\nIf you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.\nIf you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.\nWe're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.\nTraining & Onboarding\nWe will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.\nInterview Process\nWe’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.\n Accommodation\nYour accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.\nWe look forward to hearing from you!\nLanguage Requirement (Quebec only):\nSans Objet","description_format":"text","description_chars":10459,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities","Mentoring programs"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Investment Banking & M&A Advisory","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-08-26T00:00:00Z"},{"event":"close","at":"2026-09-11T06:30:51Z"},{"event":"reopen","at":"2026-09-14T21:36:02Z"},{"event":"close","at":"2026-09-29T21:21:23Z"},{"event":"reopen","at":"2026-10-02T11:33:08Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.327,"p_room":0.28,"age_days":59,"expected_fill_days":13,"reasons":["conf:0","repost:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/td-bank-data-platform-engineering-manager","json_url":"https://alion.io/job/td-bank-data-platform-engineering-manager.json","meta":{"generated_at":"2026-10-25T04:35:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6083,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3167},"rest":"https://alion.io/mcp/rest/get_company?id=3167"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftd-bank-data-platform-engineering-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftd-bank-data-platform-engineering-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftd-bank-data-platform-engineering-manager"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/td-bank-data-platform-engineering-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftd-bank-data-platform-engineering-manager"}]}