Staff Data Engineer, Enterprise Data Platform & AI
Overview
Own the design and delivery of trusted enterprise data products and AI capabilities at scale. You will shape data ingestion, transformation, governance, and semantic modeling across multiple domains and enable executive analytics through a unified platform. Work hands-on while setting engineering standards that guide cross functional teams and drive adoption of data products. Join a team building a certified data backbone for senior leaders and future AI initiatives.
What You'll Do10
- 1Build scalable ELT pipelines and semantic models using dbt, SQL, and Python on Databricks to deliver enterprise grade datasets
- 2Own end to end data lifecycle including ingestion, transformation, governance, certification, quality and observability for trusted data products
- 3Design and contribute to a unified executive analytics portal built with React delivering embedded analytics and AI assisted insights
- 4Architect and deploy conversational AI agents over enterprise data with RAG, guardrails, and context engineering
- 5Partner with Finance, People, Privacy, and Legal leaders to translate priorities into scalable data products
- 6Define and uphold engineering standards across the Enterprise Insights domain including Terraform, CI/CD, version control and operational SLAs
- 7Provide technical leadership and mentorship to engineers to maintain high standards of reliability and performance
- 8Collaborate with senior stakeholders to turn ambiguous business questions into durable data products and actionable insights
- 9Champion data quality, lineage, and governance to ensure trusted and auditable analytics
- 10Drive experimentation and AI-native design practices across the data platform
Requirements9
- 18+ years of experience in Data or Software Engineering with expert-level SQL and Python skills
- 2Strong system design and architecture expertise for scalable data systems
- 3Deep proficiency with dbt and cloud data platforms (Databricks preferred)
- 4Hands-on experience implementing GenAI systems, LLM agents, or RAG architectures
- 5Experience building production grade interactive applications with React or Streamlit and at least one BI tool (Tableau, Power BI, Qlik)
- 6Experience with infrastructure as code (Terraform)
- 7CI/CD pipelines, and version control practices
- 8Excellent collaboration and ability to partner with both technical and non-technical stakeholders
- 9Bachelor’s or Master’s in Computer Science, Engineering, Mathematics, or related field
Salary Insight
$167 - $230k per year
Location
Required Skills
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