Senior AI Engineer Manager
Core
Lead enterprise data platform capabilities enabling analytics, AI, and business decision-making across Databricks, Snowflake, and Azure.
Role type
Senior Manager, Data Engineering Platform
Builds
Secure, scalable, reliable, and cost-efficient foundation for ingestion, ETL/ELT, orchestration, governance, and production support.
Domain
Enterprise Data & AI Platform Engineering
Required skills
Databricks administration, Snowflake administration, Azure cloud platform operations, CI/CD, Infrastructure-as-Code, ETL/ELT patterns, data security and access governance, team leadership, observability standards.
Preferred skills
Databricks/SnowPro certifications, AI/ML platform tooling (LangGraph, MLflow), lakehouse architecture, FinOps, streaming patterns, governance platforms.
Technologies
Databricks, Snowflake, Unity Catalog, Azure Data Lake, Azure Data Factory, dbt, Kafka, Event Hubs, Terraform, Airflow, Spark, Delta Lake.
Responsibilities
Lead enterprise data engineering platform operating model; Own platform administration and governance; Define observability and monitoring standards; Drive automation through self-service provisioning and IaC; Define integration patterns; Drive semantic and ontology layer capabilities; Set ETL/ELT standards; Improve production readiness; Own data security and access governance; Lead a high-performing platform engineering team.
Seniority
Senior, hands-on IC with management responsibilities
