APPLICANTS SHOULD BE ABLE TO OBTAIN AND MAINTAIN A US PUBLIC TRUST CLEARANCE

Zachary Piper Solutions is seeking a Sr. Data Scientist to support a longstanding Department of Treasury program. This is a fully remote position. a strong data engineering background to support the design and delivery of secure, monitored, cloud-hosted environments. The ideal candidate will possess hands-on experience with data science and analytics, extensive use of AI/ML and LLM models, AI/MLOps, DevSecOps, and GenAI tools and technologies, with expertise in deploying solutions to high-stakes production environments.

QUALIFICATIONS:

• 7+ years of experience with Bachelors Degree
• Proven experience in cloud engineering and architecture, with a focus on event-driven solutions
• Proficiency with Databricks and understanding of big data ecosystems
• Experience with Infrastructure as Code (IaC) using tools like Terraform, AWS CloudFormation, etc.
• Strong understanding of deployment pipelines and automated testing frameworks
• Clear understanding of microservices architecture and containerization technologies (e.g., Docker, Kubernetes)

• Design and implement event-driven architecture to support scalable, resilient, and dynamic GenAI applications.
• Refactor and rehost existing applications onto cloud platforms, optimizing for performance and scalability.
• Collaborate on the development of Platform Architecture, ensuring seamless integration and efficient operation of cloud services.
• Develop and optimize Databricks Solution Architectures to handle large-scale data processing and analytics workloads.
• Engineer robust Bedrock Solution Architectures to support infrastructure provisioning and management at scale.
• Define and execute Deployment Architectures that allow for automated and reliable deployments of applications and services.
• Establish and enforce Security Architectures to protect data and maintain compliance with industry and regulatory standards.
• Proactively identify and address technical issues and challenges to improve the efficiency and reliability of cloud-based systems.
• Document architectural decisions and create best practice guidelines for cloud development and deployment.
• Coach and provide direction to junior engineers in the Databricks and data engineering areas.
• Lead efforts to integrate various data sources, ensuring seamless data flow and transformation. Develop strategies for data ingestion, cleansing, normalization, and integration.
• Leverage experience with MLFlow and general CI/CD principles for automating model deployment.
• Collaborate with customers and critical resources in an SME program to come up with solutions that align with long-term roadmaps and strategy.
• Execute Databricks upgrades, particularly in the federal space.