Lead Data Engineer, Salesforce

• * Bachelor's in Computer Science or related field with 10+ years of progressive experience in data engineering, modeling, automation, and analytics
• * Solid, hands-on expertise in AI/ML, specifically with Large Language Models (LLMs), including fine-tuning, RAG, Context Engineering, Prompt Engineering, and deployment
• * Robust understanding and clear articulation of data engineering principles, database design, tools, and architecture
• * Proven ability to manage multiple high-priority projects and meet deadlines
• * Proactive capacity to identify and implement operational improvements
• * Experience with Web analytics platforms and data sets (Google Analytics preferred)
• * Proficient in Snowflake, Google Big Query, Redshift, or CDP
• * Solid experience with ETL technologies: DBT, IICS, and FiveTran
• * 10+ years of proficiency in SQL, Bash, and Python scripting
• * 7+ years of hands-on experience with Airflow, CI/CD (Jenkins/similar), and GitHub
• * Substantial experience with AWS technologies: ECS, CloudWatch, and Lambda
• * Prior experience mentoring junior team members in a customer-focused environment
• * Experience collaborating closely with Analytics/Data Science teams
• * Essential team-first mentality and excellent interpersonal skills
• * Must proactively communicate status, identify risks, and drive results with minimal supervision
• * Highly motivated self-starter, agile in adapting to shifting priorities, and a critical thinker for innovative solutions under stringent deadlines

Desirable

• We are seeking a seasoned and committed Lead AI Data Engineer to architect and build next-generation data pipelines and a central knowledge base for our Marketing organization at Salesforce
• In this critical technical leadership role, you will work closely with business partners to translate complex sales and marketing needs into technical requirements, wrangle vast, real-time data from various systems, and design automated, large-scale pipelines
• Your work will be instrumental in measuring the success of autonomous agents and enabling their global scale
• This position requires an experienced professional who thrives in ambiguous, "0-to-1" environments and is passionate about building novel, high-impact AI systems
• You will collaborate with internal technology groups to automate the entire data collection and definition process
• * AI/ML Systems at Scale: Design, build, and deploy production-grade AI/ML systems, with a preference for expertise in agentic systems, search/recommendation platforms, or data-intensive applications
• * LLM & Foundation Model Expertise: Extensive hands-on experience with LLMs, including fine-tuning, RAG, Context Engineering, Prompt Engineering, and deployment
• * Agent & Tooling: Develop systems enabling AI agents to reason, plan, and utilize external tools (APIs, databases)
• * Technical Skills: Expert in Python and large-scale data processing technologies
• * Partner with marketing to define data requirements, build rapid POCs, and document specs
• * Automate ETL in Snowflake and Big Query
• * Construct DBT ETL pipelines for data ingestion and transformation
• * Implement GIT CI/CD for DevOps
• * Analyze metrics with business stakeholders to generate actionable insights
• * Develop POC solutions for new marketing metrics to aid decision-making
• * Design simple, repeatable, and reusable automation data frameworks
• * Oversee BI and data warehouse initiatives for Marketing
• * Review and validate designs against solution architecture and standards
• * Collaborate internally and externally on data collection, analysis, and reporting
• * Provide data support to Data Science teams for model production
• * Work effectively with global teams (North America, EMEA, APAC)
• * Manage technical consultant(s)