Cloud Data Architect

We are seeking a Cloud Data Architect / Administratorto 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 amedallion 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 architecturebased onAWS S3,Apache Iceberg,Polaris, andTrino (or similar query engine)— while maintaining and optimizing our existingSnowflakeenvironment during the transition.

• Design and govern data modelsthat support both analytical and operational workloads, balancing cost, performance, and scalability.

• Collaborate with developers and analyststo 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 codeusingTerraformand CI/CD pipelines to automate deployment, configuration and management of data resources.

• Evaluate and implement data cataloging, governance, and lineage tools, with an emphasis onPolarisfor metadata and discovery.

• Perform ongoing analysis of data storage and query performanceto improve efficiency, cost, and maintainability.

What You Need

• 5+ years of experience indata architecture, warehousing, or administration.

• 3+ years of hands-on experience withSnowflake, including performance tuning, cost optimization, and security.

• Strong experience withquery enginessuch asTrino,Athena, orPresto, andmetadata catalogssuch asPolarisorAWS Glue Catalog.

• Experience designing and maintainingdata lakesandopen table formats(e.g.,Iceberg,Delta, orHudi).

• Expertise inAWS data services— particularlyS3, Glue, IAM, Lambda, SQS, SNS, andSecrets Manager.

• Strong understanding ofdata modeling, schema design, and ELT/ETL best practices.

• Hands-on experience withPythonorJavafor automation and data pipeline development.

• Experience withstreaming data ingestion(Kafka, Kinesis, or equivalent).

• Strong communication and collaboration skills to work across data engineering, DevOps, and analytics teams.

• Experience withTerraform,CI/CD pipelines, and moderndata orchestration tools(e.g., Airbyte, Matillion, or Airflow).

Nice to Have

• AWS or Snowflake certifications (SnowPro, AWS Data Analytics, or Solutions Architect).

• Experience implementingdata governance and lineagesolutions.

• Understanding ofdata meshandfederated data architectureprinciples.

• Experience infederal or regulated environmentswhere compliance, traceability, and data security are paramount.

#LI-Hybrid

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