At Franklin Templeton, we believe success is built through powerful partnerships. As a forward thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting edge strategies and deep insights to unlock opportunities for long term wealth creation. Our talented, global teams bring expertise that is both broad and unique.

Lead Software Engineer

About The Department

Delivers reliable, SLA-driven data pipelines (holdings, transactions, positions)

Supports downstream analytics, reporting, and consumption systems in the Investments domain

Agile delivery: sprint-based planning, stand-ups, reviews

Cross-functional collaboration with architects, ingestion teams (ADF/APIs), and business stakeholders

Ownership-driven with aligned data/domain responsibilities

Culture of collaboration, continuous learning, and innovation

Focus on automation, current Snowflake capabilities, and AI-assisted development

Key impact: data accuracy, availability, performance, and cost efficiency

Job Overview

Lead implementation of architecture and translate platform strategy into scalable data solutions

Own end-to-end data pipeline strategy, reliability, performance, and cost optimization

Deliver scalable, enterprise-grade data solutions enabling business and analytics use cases

Drive platform roadmap / architectural direction

How You Will Add Value

Architect and design end-to-end data platforms: Source → Raw → Standard → Consumption

Own and enforce platform-level ELT frameworks and engineering standards (append-only, CDC, watermark, auditing)

Lead development of pipelines using Snowflake SQL, Stored Procedures, Tasks, Dynamic Tables

Design and govern ingestion patterns (API → ADF → Blob → Snowflake) ensuring resiliency and scalability

Drive advanced data modeling (dimensional models, SCD strategies, data marts)

Establish data quality, observability, monitoring, and alerting frameworks

Lead performance engineering and cost optimization (query tuning, clustering, pruning, warehouse usage)

Own warehouse strategy (sizing, concurrency, workload isolation)

Define and implement data governance standards (RBAC, masking, compliance, lineage)

Lead code reviews, engineering standards, and reusable frameworks

Mentor engineers and guide technical problem-solving across the team

Collaborate with architects, product owners, and business stakeholders





Translate enterprise architecture into implementable designs

Design and implement disaster recovery (DR) strategies and validate readiness through RTO/RPO testing

AI Fluency - AI-first mindset

Uses AI tools (Copilot, Cortex) to accelerate development and improve solution quality

Applies AI to optimize pipeline design, transformations, and performance

Validates AI outputs for correctness, efficiency, and architectural alignment

Identifies and implements AI-driven automation across development, testing, and operations

Drives adoption of AI-assisted development practices across the team

What Will Help You Be Successful In This Role

Deep hands-on experience with Snowflake, including:

Strong understanding of Snowflake architecture (storage, compute, cloud services)

Expertise in virtual warehouses, workload isolation, and concurrency management

Advanced query performance tuning and cost optimization

Experience with Stored Procedures, Tasks, Dynamic Tables, and orchestration patterns

Strong expertise in

ELT architecture and frameworks (incremental, CDC, auditing, error handling)

Data warehousing and dimensional modeling (Facts, SCD Type 1/2, data marts)

Strong SQL and performance optimization skills

Python for orchestration and integrations

Proven experience designing and scaling production-grade data platforms

Familiarity with Medallion Architecture (Bronze/Silver/Gold)

Strong data governance (RBAC, masking, lineage)

Technical Environment

Core Stack: Snowflake (SQL, Stored Procedures, Tasks, Dynamic Tables), Python, ADF, APIs, Blob Storage

Operating Environment: Cloud-based (Azure + Snowflake ecosystem)

Workflow: Agile delivery, CI/CD (GitLab, Jenkins, Liquibase), standardized development and release practices

Quality & Reliability: Data quality, observability, monitoring, alerting, SLA adherence and incident management

Nice To Have Skills

Advanced clustering strategies and workload optimization

Experience with ADF, APIs, Blob storage

CI/CD frameworks and deployment automation





Exposure to Snowflake Cortex / AI capabilities and analytics use cases

GitHub Copilot and AI-driven engineering workflows

Work Schedule & Location

This role will work a hybrid schedule 3 days/week in any of our Franklin Templeton locations with a preference to locations in the Eastern time zone and Canada.

Franklin Templeton offers employees a competitive and valuable range of total rewards – monetary and non-monetary – designed to support their well-being and recognize their time, talents, and results. Along with base compensation, employees are eligible for an annual discretionary bonus, a 401(k) plan with a generous match, and recognition rewards. We also offer a comprehensive benefits package, which includes a range of competitive healthcare options, insurance, and disability benefits, employee stock investment program, learning resources, career development programs, reimbursement for certain education expenses, paid time off (vacation / holidays / sick / leave / parental & caregiving leave / bereavement / volunteering / floating holidays) and a motivational wellbeing program.

We expect the annual salary for this position to range between $128,100 – $174,500, depending on location and level of relevant experience, plus discretionary bonus....

Highlights Of Our Benefits Include

Paid Time Off: Three weeks of PTO in your first year

Health Coverage: Competitive medical, dental, and vision insurance to support your well-being

Retirement Savings: 401(k) plan with an 85% company match on pre-tax and/or Roth contributions, up to IRS limits

Equity & Investing: Employee Stock Investment Plan (ESIP) with discounted share purchase opportunities

Learning Education Assistance Program (LEAP): To support your ongoing growth and career advancement

Employee Investment Benefits: Opportunity to purchase company funds with no sales charge

Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.

📌 Lead Software Engineer (Toronto)
🏢 Franklin Templeton
📍 Toronto