Description
Salesforce is seeking a Lead Member of Technical Staff (LMTS) to serve as a primary technical execution lead across its core data platform and its application integration interfaces.
This is a hands-on technical leadership role. The successful candidate will own the delivery of high-impact data engineering projects, build resilient pipelines, and ensure data products seamlessly plug into downstream applications, web tools, and agentic workflows.
Core Responsibilities:
- Lead the design, execution, and optimization of end-to-end data pipelines for batch and event-driven workloads.
- Define patterns for data ingestion, transformation, orchestration, and storage using Python, SQL, dbt, Snowflake, and Airflow.
- Design and maintain lightweight API integration components, Node.js services, and middleware that expose data platform capabilities to full-stack applications, web dashboards, and external enterprise platforms.
- Implement enterprise-controlled agentic capabilities and AI-enabled workflows.
- Establish testing strategies, CI/CD pipelines, performance tuning, and operational observability across both data pipelines and app integration services.
- Conduct code and design reviews, and mentor Senior and Associate Engineers.
Technical Profile:
- Deep expertise in Python and advanced SQL, with a strong background in operating production data platforms.
- Extensive experience with data stack technologies: dbt, Apache Airflow, Apache Spark, and Snowflake.
- Practical experience with Node.js and TypeScript/JavaScript for building lightweight backend services, microservices, or integration layers.
- Hands-on knowledge of designing and consuming REST APIs, GraphQL, webhooks, and event queues.
- Practical experience building or integrating AI-enabled workflows using frameworks like LangGraph or LangChain.
Qualifications:
- Typically 10 to 14+ years of hands-on experience in Data Engineering, Software Engineering, or Platform Engineering.
- Proven track record of leading complex data projects from requirements through architecture, deployment, and ongoing operation.
- Ability to serve as the bridge between core data platform engineering and web application developer teams.
- Ability to translate technical implementation choices into business outcomes, work closely with product managers, and communicate effectively across engineering teams.