Senior Software Engineer

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.

From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients' success.

Job Overview

• Design, build, and optimize Snowflake-based data platforms and ELT pipelines
• Own pipeline reliability, performance, and cost optimization
• Deliver scalable, high-quality data for analytics and business decision-making
• Ensure SLAs and reliability for production pipelines
• Implement solutions aligned to defined architecture and engineering standards

How you will add value

• Design and build end-to-end data pipelines: Source Raw Standard Consumption
• Implement robust incremental frameworks (append-only, CDC, watermark-based)
• Develop ELT pipelines using Snowflake SQL, Stored Procedures, Tasks, and orchestration patterns
• Design and manage ingestion pipelines (API ADF Blob Snowflake), handling real-world challenges (pagination, retries, schema changes)
• Build and optimize complex transformations within Snowflake
• Design and maintain dimensional models (fact tables, SCD Type 1/2)
• Implement data quality, monitoring, logging, and alerting mechanisms
• Drive query performance tuning (Query Profile, clustering, pruning)
• Optimize warehouse usage, concurrency, and cost efficiency
• Implement RBAC, masking, and governance standards
• Lead code reviews, best practices, and reusable frameworks
• Collaborate with architects, analysts, and business stakeholders to translate requirements into solutions
• Ensure SLA adherence for production pipelines

AI Fluency - AI-first mindset

• Uses AI tools (Copilot, Cortex) to accelerate development, troubleshoot pipelines, and improve code quality
• Uses AI to assist in designing pipelines, transformations, and improving existing solutions
• Reviews and refines AI-generated outputs to ensure accuracy, efficiency, and alignment with data models and standards
• Identifies where AI can help reduce manual effort (testing, documentation, repetitive tasks)
• Uses AI to learn new Snowflake features and improve development practices
• Uses AI to improve personal development productivity and solution quality

Technical Environment

• Core Stack: Snowflake (SQL, Stored Procedures, Tasks), Python, Azure Data Factory (ADF), APIs, Blob Storage
• Operating Environment: Cloud-based (Azure + Snowflake ecosystem)
• Workflow: Agile delivery, CI/CD (GitLab, Jenkins, Liquibase), ticketing via standard tools (e.g., Jira)
• Quality & Reliability: Data quality, monitoring, observability, alerting, incident handling

What will help you be successful in this role

• Strong hands-on experience with Snowflake, including:

• Solid understanding of Snowflake architecture (storage, compute, cloud services)

• Virtual warehouses, workload isolation, and concurrency handling

• Strong query performance tuning and cost optimization

• Stored Procedures, Tasks, and orchestration patterns

• Exposure to or experience with Dynamic Tables

• Strong expertise in:

• ELT frameworks (incremental processing, CDC, auditing, error handling)

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

• Strong SQL and query optimization skills

• Python for orchestration and integrations

• Experience building and operating production-grade data pipelines

• Familiarity with Medallion Architecture (Bronze/Silver/Gold)

Nice to have skills

• Advanced clustering and performance optimization
• Data governance (RBAC, masking)
• Experience with ADF, APIs, Blob storage
• CI/CD tools (GitLab, Jenkins, Liquibase)
• Exposure to Snowflake Cortex / AI capabilities
• GitHub Copilot and AI-assisted development tools

Work Schedule & Location

• This role will work a hybrid schedule 3 days per 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 $122,000 - $158,300, depending on location and level of relevant experience, plus discretionary bonus....

At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That's why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.

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.

Artificial intelligence or automated tools may be used to assist in the screening, assessment, or selection of applicants for this position.