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# Senior Software Engineer

- **Company:** Franklin Templeton Investor Services, LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $122,000.0 - $158,300.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, ARM Architecture, JIRA, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Continuous Integration, Data Governance, Data Warehousing, Dimensional Modeling, Python (Programming Language), Liquibase, Performance Tuning, Query Optimization, Role-Based Access Control, Cloud Services, Microsoft Copilot, Standard Sql, SQL Stored Procedures, SQL Databases, Systems Integration, Data Logging, Data Ingestion, Azure Data Factory, GitHub Copilot, Snowflake, Concurrency, Gitlab, Build Management, Data Management, Pagination, Data Pipelines, Jenkins
- **Published:** October 27, 2026
- **Apply:** https://www.careerjet.com/job/us981e20932cf612286f8db16b12b11a75/eaa

## About the Role

* 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

## Description

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