This role involves providing expert guidance on complex data engineering functions like data modeling, quality, acquisition, ETL, and metadata management. The Senior Data Engineer will lead or provide expertise to data analysts, collaborate with architecture and technology teams to define system designs for data integration and data warehouse environments, ensuring adherence to standards. They will also manage data requirements, implement data governance policies, support data warehouse processes, and ensure data privacy and security. The role requires leading complex data analysis, contributing to data dictionary management, coordinating with project and resource managers, and fostering a positive team environment.
Provide guidance and advice across complex data engineering functions (data modeling, data quality, data profiling, data acquisition and ingestion, ETL/ELT, metadata enrichment and management, data provenance and lineage).,Lead or provide expertise to Data Analysts/Specialists in defining and managing detailed system design for data integration or data warehouse builds.,Interface with the architecture group to determine overall solutions and ensure conformance to data management standards.,Work closely with technology teams, business systems analysis, development, and project teams in creating detailed system requirements and resolving information flow issues.,Coordinate with infrastructure teams for assessing project impacts on storage, network, database infrastructure.,Create development estimates and review/approve business/system specification requirements, author system design specifications and deployment plans.,Collaborate with testing services and approve test strategy and plans.,Coordinate with project managers and resource manager to establish project plans and allocate resources.,Lead implementation and support of data warehouse/big data environments.,Support data warehouse (ETL) data management processes.,Extract data from sources and transform it for analysis.,Load data into target databases, operational data stores, data marts, or data warehouses.,Ensure metadata and data lineage is captured and compatible with enterprise tools.,Provide data management expertise to development and testing teams.,Implement, maintain, and enhance Data Governance, Data Quality, and related policies.,Oversee privacy and security of data, data governance, and access controls.,Comply with enterprise technology delivery practices and project management disciplines.,Lead coordination efforts with other technology work teams (ITS, Architecture, TRMIS).,Perform or lead complex data analysis, gather, analyze, document, and maintain data requirements in data maps.,Apply standards and best practices for data accuracy, completeness, currency, understandability, and accessibility.,Define, build, and manage data dictionary/catalog.,Manage and coordinate data modelers, data warehouse/data integration developers, and ETL conformance to standards.,Support a positive work environment, participate in knowledge transfer, and continuously enhance expertise.,Identify and recommend opportunities to enhance productivity and efficiency.,Lead coordination and manage expectations with technology work teams.,Perform or lead data analysis/investigations for UAT/PAT testing.,Escalation points for post-implementation activities during the warranty period.,Approve code check-in/check-out into source code repository.,Lead coordination with ITS/ARE teams for code packaging & deployment.,Lead participant in design & architecture reviews.,Escalation points for service-now requests & release management.,Lead data engineering initiatives and capabilities, data governance principles.,Lead design and implementation of enterprise/segment metadata management initiatives.,Adhere and lead standard security coding practices.,Oversight responsibility for technical decisions, risks, and lessons learned.,Protect organizational interests, identify and manage risks.,Adhere to internal policies/procedures and regulatory guidelines.,May act as lead data engineer and technology asset owner.,Lead initiatives on emerging trends/developments.,Actively mentors and enables team members.,Supports the team by providing guidance and proactively identifying and resolving issues.,Lead, motivate, and develop relationships with internal and external business partners.,Contribute to a fair, positive, and equitable environment.,Act as a brand ambassador.
Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g., Computer Science, Engineering), or equivalent practical experience.,Graduate degree nice to have.,7-10 years of relevant experience.,Expert knowledge of the technical environment/tools for own area.,Expert knowledge of business processes and procedures, as well as broader organizational issues and technology.,Advanced knowledge of business/organization, Bank standards infrastructure, architecture and technology in related areas from a design/support/solutions perspective.,Data-centric position, focus is broader than application development.,Requires a blend of skills in big data technologies, database management, data integration tools, system administration, and business acumen.
Bachelor's Degree or Technical Certificate
37.5 hours/week
Accessible meeting rooms,Captioning for virtual interviews,Diversity, Equity, and Inclusion commitment
The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group, one of the largest banks in North America. TD provides a wide range of personal, commercial, and investment banking products and services to over 27 million customers globally. Headquartered in Toronto, Canada, the bank operates through key segments including Canadian Retail, U.S. Retail, and Wholesale Banking.
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