Data & AI Architect
Core
Design and maintain enterprise data architecture principles, scalable cloud data platforms, and data foundations for AI/ML workloads.
Role type
Senior IC data & AI architect
Builds
Enterprise data platforms, Lakehouse solutions, data warehouses, and AI/ML infrastructure
Domain
Enterprise data engineering and AI/ML platform architecture
Deliverable
production ML models
Required skills
Enterprise architecture, cloud data platform design, data modeling, data governance, CI/CD, infrastructure as code, data integration, cost optimization, real-time streaming, AI/ML enablement
Preferred skills
Enterprise cloud migrations, data modernization, Lakehouse implementations, multi-cloud environments, insurance/healthcare/financial services domain knowledge
Technologies
Snowflake, Databricks, Azure Synapse, Microsoft Fabric, AWS Redshift, BigQuery, Azure Data Factory, Apache Airflow, dbt, Kafka, Terraform, Python, PySpark, SQL, Scala
Responsibilities
Define enterprise data architecture principles and roadmaps; design scalable data platforms and Lakehouse solutions; create data models and master/reference data models; establish governance standards and data quality frameworks; optimize query performance and storage costs; design data foundations for machine learning and generative AI; partner with data scientists to support production AI solutions; mentor architects and engineers.
Seniority
Senior, hands-on IC with strategic leadership