Data Engineer supporting and evolving data environment in cloud migration. Maintain and optimize existing databases while designing modern data solutions with cross - functional collaboration.
About the role
- Lead AI Data Engineer to architect and build data pipelines for Salesforce's Marketing organization. Responsible for translating business needs into technical specifications and developing production-grade AI/ML systems.
Responsibilities
- Design, build, and deploy production-grade AI/ML systems, with a preference for expertise in agentic systems, search/recommendation platforms, or data-intensive applications.
- Extensive hands-on experience with LLMs, including fine-tuning, RAG, Context Engineering, Prompt Engineering, and deployment.
- Develop systems enabling AI agents to reason, plan, and utilize external tools (APIs, databases).
- 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).
Requirements
- 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.
Benefits
- time off programs
- medical
- dental
- vision
- mental health support
- paid parental leave
- life and disability insurance
- 401(k)
- employee stock purchasing program
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