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