griddable.io · 12 hours ago
Lead Data Engineer
San Francisco, CA
Full-time
Onsite
Lead/Staff
10+ years expGriddable.io is seeking a Lead AI Data Engineer to support Salesforce's Digital Transformation by building a strong data foundation for marketing needs. In this role, you will architect and develop data pipelines, work with business partners to translate technical requirements, and automate data collection processes to enable effective marketing strategies.
Cloud ComputingSaaSBig DataSoftwareInformation TechnologyAnalyticsCloud Data ServicesData Integration
Responsibilities
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)
Qualification
Required
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
Preferred
Experience working with globally distributed engineering teams
Experience with data visualization tools (e.g., Tableau)
Experience with Marketing technology
Company
griddable.io
Griddable.io is a San Jose, CA based SaaS startup that closed Series A funding in 2017 from August Capital, Artiman Ventures, and Carsten Thoma, founding CEO of Hybris (acquired by SAP).
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$8MKey Investors
Artiman Ventures,August Capital
2019-01-28Acquired
2018-02-28Series A· $8M
Leadership Team
Burton Hipp
VP of Engineering/Founder
Company data provided by crunchbase