Senior Data Platform Engineer
Core
Design and operate end-to-end data and AI platforms for client engagements, ensuring reliable production infrastructure for marketing, operations, and finance decision-makers.
Role type
Senior individual contributor data platform engineer (AI/ML infrastructure)
Builds
Production data platforms and AI application infrastructure (model serving, RAG pipelines, vector stores) for clients
Domain
Data engineering, AI/ML infrastructure, Cloud services
Deliverable
production ML models | infrastructure
Required skills
Cloud platform architecture (AWS/Azure/GCP), Modern data stack (Databricks, Snowflake, dbt, Airflow), AI/ML platform components (model deployment, feature stores, RAG, vector databases), SQL, Python, Infrastructure as Code (Terraform), Data modeling patterns, Security and governance
Preferred skills
Coaching mid-level engineers, Translating business intent to technical design, Proposals and scoping discussions, Technical writing and standards setting
Technologies
AWS, Azure, GCP, Databricks, Snowflake, Microsoft Fabric, dbt, Airflow, Terraform, Vector databases, LLM frameworks
Responsibilities
Own architecture of data and AI platforms (ingestion to serving), Set up and harden production environments, Design and implement AI Platform layer components, Act as senior technical support (code reviews, troubleshooting), Coach the team and raise engineering bar, Engage with client tech leads and CTOs
Seniority
Senior, hands-on IC with mentorship responsibilities
