Software Engineer III
Lead software engineer in TD Bank's Enterprise Data Management Office, delivering data catalog services as a product: designing relational and graph data models, ingestion pipelines, and cloud architecture on PostgreSQL, Python, Kafka and Azure, while mentoring the team, governing AI-assisted workflows, and owning end-to-end delivery.
- Compensation
- CA$125.5K–CA$154K / yr
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- Exceptional problem-solving skills diagnosing complex system failures
- Hands-on experience designing normalized, extensible relational data models
- Knowledge graph / graph database engineering (nodes, edges, traversal, query patterns)
- Strong hands-on experience with PostgreSQL, SQL, Python and data engineering
- Experience designing reusable ingestion/extraction patterns (REST/Graph APIs, batch, Kafka/event-driven)
- Understanding of SQL vs NoSQL trade-offs
- Ability to contribute to data lake design (raw, standardized, curated layers)
- Advanced CI/CD and DevOps practices (automated testing, release strategies, IaC)
- Expert knowledge of cloud infrastructure and scalable architecture patterns
- Strong data troubleshooting and quality skills (reconciliation, schema changes, ingestion failures)
- Experience designing curated datasets, APIs, extracts and event-based interfaces for data consumption
- AI tooling fluency: practical experience with coding copilots / LLM agents
- Senior technical leadership with hands-on mentoring of junior developers
- Strong communication and stakeholder management
- 5-7+ years relevant experience
- Undergraduate or postgraduate degree or technical certificate; strong CS/engineering academic background
Nice to have
- Experience in data management, data governance, data cataloging or metadata platforms
- Familiarity with DataHub, OpenMetadata, Collibra or comparable catalog platforms
- Knowledge of lineage and provenance concepts (OpenLineage, W3C PROV)
- Practical experience with Elasticsearch or OpenSearch, Kafka or comparable message queues
- Knowledge of security/compliance engineering (RBAC, ABAC, SSO/MFA, secrets management, audit logging)
- Pandas experience for data analysis, profiling and transformation
- Deep experience across Azure, AWS or hybrid cloud environments
- Familiarity with responsible use of coding copilots / AI-assisted developer workflows
- Graduate degree
Full description
Software Engineer IIIApply:
Onsite:
Toronto, Ontario:
Full time:
Posted Today:
End Date: November 28, 2026 (30 days left to apply):
R\_1519353Work Location:Toronto, Ontario, CanadaHours:37.5Line of Business:Technology SolutionsPay Details:$125,500 - $154,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.TD 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.As 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.Job Description:## Role Summary
As a lead software engineer, you are accountable for shaping and delivering end-to-end solutions for enterprise-grade platforms and complex initiatives. You set technical direction, define and govern architecture, and lead delivery execution for a specific solution area while influencing adjacent domains. You operate confidently across diverse cloud environments, applying deep knowledge of cloud infrastructure, architecture patterns, and engineering practices to design solutions that scale securely and reliably across enterprise platforms. You are hands-on and outcome-driven: designing and building critical path components, raising engineering standards, and scaling team effectiveness through mentorship, patterns, and automation.
You partner closely with Architecture, Security, Infrastructure, and Product to ensure solutions are resilient, secure-by-design, scalable, observable, and compliant with enterprise standards. You also pioneer responsible AI-assisted engineering by establishing guardrails, validations, and governance that enable speed without compromising quality.
This opportunity is with the Enterprise Data Management Office (EDMO), where you will deliver Data Catalog services as a product, driving enterprise-wide data discovery, governance, and self-service access to trusted data assets.
Key Outcomes
- An end-to-end technical solution is delivered predictably with strong SDLC discipline, from design to build, test, deploy and operate.* Architecture decisions are documented, traceable and aligned with enterprise standards; trade-offs are explicit and risk-managed* Cloud architecture and infrastructure decisions support scalable, resilient, secure and cost-effective platform growth across diverse deployment environments* Engineering quality improves quarter-over-quarter through standards, automation and coaching across security, performance and maintainability* Production stability is strong, with high availability, clear SLOs / SLAs, fast incident recovery and actionable observability* Teams ship faster with confidence due to reusable patterns, platform capabilities and AI-enabled workflows with robust guardrails.