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, new 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:
Solid 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.

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