SAIC · 3 hours ago
Databricks Solution Architect
SAIC is seeking an experienced Databricks Architect Expert with a strong data engineering background. The role involves designing and delivering secure, monitored, cloud-hosted environments while supporting customers in deploying applications and models within a federal agency.
Information TechnologySecurityService IndustrySoftware
Responsibilities
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
Qualification
Required
Bachelor's and 18 years or master's and 16 years of experience with a degree in computer science, Data Science, Engineering, or a related field
Must be a U.S. Citizen with the ability to obtain a public trust clearance
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)
Preferred
Previous experience working in a regulated environment, particularly within government agencies like the IRS
Certifications related to AWS or cloud architecture
Experience with AI/ML platforms and understanding of their integration with cloud environments
Prior experience with event-driven architectures and related technologies (e.g., Apache Kafka, RabbitMQ)
Prior experience in a high-stakes production environment where uptime is critical
Company
SAIC
SAIC specializes in IT, enterprise IT, engineering, and professional services.
Funding
Current Stage
Public CompanyTotal Funding
$522.13MKey Investors
U.S. Geothermal
2025-09-22Post Ipo Debt· $500M
2010-09-13Post Ipo Equity· $22M
2006-10-13IPO
Recent News
2025-12-16
2025-12-16
2025-12-05
Company data provided by crunchbase