What are the responsibilities and job description for the Snowflake Architect position at Exiger?
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
Exiger is revolutionizing the way corporations, government agencies and banks manage risk and compliance with a combination of technology-enabled and SaaS solutions. In recognition of the growing volume and complexity of data and regulation, Exiger is committed to creating a more sustainable risk and compliance environment through its holistic and innovative approach to problem solving. Exiger's mission to make the world a safer place to do business drives its award-winning AI technology platform, DDIQ, built to anticipate the market's most pressing needs related to evolving ESG, cyber, financial crime, third-party and supply chain risk. Exiger has won 30 AI, RegTech and Supply Chain partner awards.
Exiger’s core values are courage, excellence, expertise, innovation, integrity, teamwork and trust.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Exiger’s hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.
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.
- 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).
- 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.
Exiger is revolutionizing the way corporations, government agencies and banks manage risk and compliance with a combination of technology-enabled and SaaS solutions. In recognition of the growing volume and complexity of data and regulation, Exiger is committed to creating a more sustainable risk and compliance environment through its holistic and innovative approach to problem solving. Exiger's mission to make the world a safer place to do business drives its award-winning AI technology platform, DDIQ, built to anticipate the market's most pressing needs related to evolving ESG, cyber, financial crime, third-party and supply chain risk. Exiger has won 30 AI, RegTech and Supply Chain partner awards.
Exiger’s core values are courage, excellence, expertise, innovation, integrity, teamwork and trust.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Exiger’s hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.