Lead Systems & Data Architect
Core
Design and lead the next generation of an enterprise data platform supporting analytics, real-time processing, and AI/ML workloads.
Role type
Lead Systems & Data Architect
Builds
Cloud-native data ecosystem for analytics, streaming, and AI/ML
Domain
Enterprise Data Engineering & Cloud Infrastructure
Deliverable
production ML models
Required skills
Data architecture, cloud platform design (AWS/Azure/GCP), distributed systems, data governance, SQL, Python, Spark, real-time streaming, CI/CD, Terraform
Preferred skills
Snowflake, Databricks, data mesh, lakehouse, LLM pipelines, vector databases
Technologies
Snowflake, Databricks, AWS, Azure, GCP, Kafka, Kinesis, Airflow, dbt, Terraform, SQL, Python, Spark
Responsibilities
Define cloud-native data architecture for batch/streaming/AI workloads; Execute multi-year platform modernization roadmap; Drive architectural decisions for Snowflake/Databricks; Partner with data engineering and science teams; Establish data governance and quality frameworks; Lead DevOps/Infrastructure as Code adoption; Design data foundations for ML/LLM workloads; Mentor senior data engineers.
Seniority
Senior, hands-on IC with strategic leadership
