Databricks Architect Expert

**Summary:**

We are seeking an experienced Databricks Architect Expert with 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.

The successful candidate will join our platform team, which provides capabilities, tools, guardrails, and various patterns for our customers within a federal agency. Our goal is to support customers as they bring their applications/models into our environment, facilitating the training, building, tweaking, and productionalization of their data and models.

**Key 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.

**Qualifications**

**Qualifications:**

+ Bachelors or masters degree in computer science, Data Science, Engineering, or a related field with 8 years of 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).

**Desired Skills:**

+ 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.

Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

REQNUMBER: 2507298

SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability