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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, data modeling, and ETL development, with a strong focus on SQL and Python for data-driven solutions. Proven ability to lead data engineering initiatives and ensure compliance with enterprise data standards while fostering collaboration across technical teams.
Highest-signal resume keywords
Data AnalysisSQL DevelopmentData ModelingETL FrameworksData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData ModelingETL DevelopmentData ProfilingData Quality ReportingMetadata ManagementPerformance TuningData LineageData Engineering Frameworks
Soft Skills
Analytical AbilitiesProblem-SolvingCommunicationCollaborationMentoring
Tools & Technologies
SQL ServerSynapse Dedicated PoolOracleUnity CatalogDatabricks LakehouseServiceNowCI/CDSource Code Repositories
Certifications & Qualifications
Degree in Data ManagementPostgraduate Degree PreferredTechnical Certificate in Related Discipline
Industry Keywords
Banking DomainFinancial DomainData GovernanceData Lifecycle ManagementChange Management
Tech Stack
Tools & technologiesETLOraclePythonServiceNowSQLUnity
About the role
Key responsibilities & impact- Perform data analysis and assess data management requirements for platforms or journeys
- Maintain expert knowledge of upstream data through data profiling, data quality reporting, and metadata production
- Support data acquisition and ingestion
- Design and develop data models, including entity relationship diagrams and dimensional data models
- Develop and maintain complex ETL jobs and frameworks using the Bank's standard tools
- Elicit, analyze, and understand business and data requirements to develop complete business solutions
- Ensure data complies with enterprise data standards, policies, and guidelines
- Provide development and testing teams with support to resolve data issues, including escalation support for complex issues
- Support partners and stakeholders in interpreting and analyzing data
- Consult with peers and partners across multiple teams on research, analysis, design, and support
- Coordinate with technology work teams such as ITS, ARE, Architecture, and Enterprise Protect to ensure delivery success
- Support QA with data analysis and investigations during SIT/UAT/PAT testing
- Provide oversight on post-implementation activities during the warranty period
- Execute and approve code check-in/check-out into source code repositories
- Support code packaging and CI/CD deployment into higher environments
- Lead participation in application design and architecture reviews
- Raise ServiceNow requests and support release management activities
- Lead data engineering initiatives and data governance capabilities across the organization
- Ensure metadata and data lineage are captured and compatible with enterprise tools and processes
- Adhere to secure coding practices and identify technical decisions, risks, lessons learned, and enhancements
- Protect organizational interests by identifying, managing, and escalating risks
- Keep current on emerging trends, business knowledge, tools, and techniques
- Enable, mentor, and provide guidance to team members through knowledge sharing and engineering best practices
- Maintain effective working relationships with internal and external business partners and stakeholders
- Keep stakeholders informed of project status and day-to-day activities
- Contribute to a fair, positive, equitable, and diverse work environment
- Act as a brand ambassador for TD and the relevant business area
Requirements
What you’ll need- Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
- Graduate Degree preferred
- 5+ years of relevant experience
- 5+ years of hands-on experience utilizing SQL and Python to develop, analyze, and optimize data-driven solutions
- 5+ years of experience in data modeling
- 5+ years of hands-on experience with enterprise relational database platforms, such as SQL Server, Synapse Dedicated Pool, or Oracle
- 3+ years of experience championing knowledge growth, best practices, and platform support for Unity Catalog and Databricks Lakehouse solutions across technical teams
- Experience analyzing and performance tuning SQL queries
- Experience in Banking/Financial Domain
- Strong analytical and problem-solving abilities to troubleshoot and resolve database-related issues
- Expert knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures
- Expert knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards
- Knowledge of data profiling, data quality reporting, metadata, data lineage, governance, and lifecycle management
- Experience with industry-standard data modeling tools, ETL jobs and frameworks, source code repositories, CI/CD, ServiceNow, and change management
- Ability to perform highly complex technical tasks independently
- Ability to design, develop, analyze, integrate, code, test, debug, and execute to meet business and technical requirements
- Ability to communicate complex technical details to non-technical business partners
- Ability to collaborate with technology, QA, development, testing, architecture, infrastructure, and business teams
- Ability to work in an office-focused environment and perform sedentary work, multiple tasks, and continuous concentration
- Occasional domestic travel; no international travel
Benefits
Comp & perks- Base salary and variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards
- Health and well-being benefits
- Savings and retirement programs
- Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO
- Banking benefits and discounts
- Career development
- Reward and recognition
- Regular development conversations, training programs, and performance conversations
- Access to an online learning platform
- Variety of mentoring programs
- Training and onboarding sessions
- Accommodation support for applicants with disabilities