We are seeking a Cloud Data Architect to design, evolve, and maintain the data platforms that power our analytics and risk intelligence products. This role blends traditional data administration with modern data architecture — focusing not only on managing data systems, but also on shaping how data is modeled, governed, and integrated across our platforms.

 

What You’ll Do

• Architect the evolution of our data ecosystem, helping to design and implement a medallion architecture (bronze/silver/gold layers) to support scalable, traceable data movement and quality monitoring.
• Plan and coordinate data cadences, ensuring that data ingestion and transformation processes are efficiently synchronized across layers.
• Lead the transition toward a hybrid data architecture based on AWS S3, Apache Iceberg, Polaris, and Trino (or similar query engine) — while maintaining and optimizing our existing Snowflake environment during the transition.
• Design and govern data models that support both analytical and operational workloads, balancing cost, performance, and scalability.
• Collaborate with developers and analysts to define end-to-end data integration processes using ETL/ELT frameworks for structured, semi-structured, and unstructured data.
• Administer and optimize Snowflake environments — including warehouse sizing, data clustering, cost optimization, and user access management — while planning for gradual migration of workloads to open table formats and object storage.
• Develop and maintain data infrastructure as code using Terraform and CI/CD pipelines to automate deployment, configuration and management of data resources.
• Evaluate and implement data cataloging, governance, and lineage tools, with an emphasis on Polaris for metadata and discovery.
• Perform ongoing analysis of data storage and query performance to improve efficiency, cost, and maintainability.

 

What You Need

• 5+ years of experience in data architecture, warehousing, or administration.
• 3+ years of hands-on experience with Snowflake, including performance tuning, cost optimization, and security.
• Strong experience with query engines such as Trino, Athena, or Presto, and metadata catalogs such as Polaris or AWS Glue Catalog.
• Experience designing and maintaining data lakes and open table formats (e.g., Iceberg, Delta, or Hudi).
• Expertise in AWS data services — particularly S3, Glue, IAM, Lambda, SQS, SNS, and Secrets Manager.
• Strong understanding of data modeling, schema design, and ELT/ETL best practices.
• Hands-on experience with Python or Java for automation and data pipeline development.
• Experience with streaming data ingestion (Kafka, Kinesis, or equivalent).
• Strong communication and collaboration skills to work across data engineering, DevOps, and analytics teams.
• Experience with Terraform, CI/CD pipelines, and modern data orchestration tools (e.g., Airbyte, Matillion, or Airflow).

 

Nice to Have

• AWS or Snowflake certifications (SnowPro, AWS Data Analytics, or Solutions Architect).
• Experience implementing data governance and lineage solutions.
• Understanding of data mesh and federated data architecture principles.
• Experience in federal or regulated environments where compliance, traceability, and data security are paramount.

 

 

#LI-Hybrid

This is a full-time hybrid opportunity, requiring 2 days a week in office.