Principal Data Architect

Method is seeking an experienced Principal Data Architect to join our Data & AI team. The role will help shape modern data and AI architecture strategies and work closely with senior stakeholders to define architectural direction and guide implementation approaches.

Requirements

• 8+ years of experience in data engineering, with 3+ years in a technical leadership role
• Strong background in distributed systems and data-intensive applications
• Experience building and operating large-scale data platforms
• Expertise in data modeling, data platform operations, observability, and reliability engineering for data systems
• Proficiency with modern data and distributed technologies such as Spark, Kafka, Flink, Trino/Presto, Iceberg/Delta/Hudi, and distributed storage systems
• Experience designing streaming and low-latency architectures
• Experience designing and deploying AI/ML platforms
• Strong experience working with cloud platforms (AWS, Azure, or GCP) and cloud-native data services
• Experience with modern data platforms such as Snowflake, Databricks, or similar analytics environments
• Understanding of data governance frameworks, data cataloging, lineage, and privacy controls

Benefits

• Continuing education opportunities
• Flexible PTO and work-from-home policies
• Pension
• Health and dental benefits
• Company lunches, company outings, along with a lot of snacks
• Health and wellness programs