Zachary Piper Solutions is looking for an Senior Databricks Architect to join a growing team in support of a federal program. This position will be fully remote.

REQUIRED QUALIFICATIONS:

• Must be able to obtain a Public Trust clearance
• Bachelors degree and seven (7) years or more of related experience or Masters and five (5) or more years of related experience.
• Proven experience in cloud engineering and architecture, with a focus on event-driven solutions.
• In-depth knowledge of public cloud platforms (e.g., AWS, Azure, Google Cloud, Oracle).
• 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.
• Demonstrated experience in implementing security practices in cloud architectures.
• Clear understanding of microservices architecture and containerization technologies (e.g., Docker, Kubernetes).
• Excellent verbal and written communication skills, with the ability to document and explain complex architectures to non-technical stakeholders.
• Databricks Certification and any other AI/ML or data engineering certifications (AWS, Azure, GCP).

• 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.
• Create Use Case Solution Architectures, transforming business requirements into technical solutions.
• Proactively identify and address technical issues and challenges to improve the efficiency and reliability of cloud-based systems.
• Work with cross-functional teams to facilitate the smooth deployment of cloud services across various operational environments.
• Document architectural decisions and create best practice guidelines for cloud development and deployment.
• Stay abreast of emerging cloud technologies and recommend adaptations to keep ahead of industry trends.
• Utilize Agile and DevSecOps methodologies and practices.
• 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.