Databricks Architect

Location : Remote Work, DC, United States

Schedule : Full-time

Shift : Day Job

Travel : No

Minimum Clearance : None

Clearance Level : Public Trust

Potential for Remote Work : Remote

SAIC accepts applications on an ongoing basis and there is no deadline.

Job Description

We are seeking an experienced and versatile Databricks Architect to lead the architectural design and implementation of Databricks-based solutions within a broader AI / ML platform environment. This role is part of the core platform team enabling scalable, secure, and reusable data science and GenAI workflows across federal mission use cases. The ideal candidate will have strong data architecture skills, a deep understanding of the AI / ML lifecycle, and familiarity with both traditional and emerging GenAI technologies.

This architect plays a vital role in enabling the full lifecycle of AI / ML model development for IRS data scientists—from data ingestion and feature engineering to model training, deployment, and monitoring. As the platform team serves data science users directly, the architect must ensure Databricks capabilities are accessible, extensible, and aligned with user workflows.

You will collaborate with infrastructure, security, compliance, and AI engineering teams to ensure Databricks capabilities are integrated seamlessly with supporting services such as S3, Amazon SageMaker, Bedrock, and shared pipeline frameworks. You will also work closely with the Product Manager and Chief Architect to inform roadmap evolution and ensure technical feasibility, performance, and alignment with broader architectural direction. As a hands‑on architect, you will guide the design of workspaces, cluster policies, CI / CD integration, and governance structures that enable secure and efficient AI / ML model development and deployment.

Key Responsibilities :

• Lead the architecture and design of Databricks environments (multi‑tenant, secure, scalable) to support diverse AI / ML and GenAI workloads.
• Define and maintain workspace patterns, access policies, cluster configurations, and notebook orchestration aligned to platform governance.
• Collaborate with AI / ML engineers, data scientists, and platform SMEs to optimize data pipelines, feature stores, and model training processes.
• Drive integration of Databricks with enterprise data sources and services including AWS S3, IAM, SageMaker, Bedrock, and Terraform‑managed infrastructure.
• Support development of reusable accelerators, templates, and onboarding patterns to reduce friction for mission teams.
• Provide architectural input into CI / CD pipelines for notebook deployment, model packaging, and automation of data workflows.
• Work with architects from adjacent platform areas (infrastructure, security, LLM, CSx) to ensure end‑to‑end solution alignment.
• Participate in planning and estimation activities with service delivery and product leadership.

Qualifications

Required Qualifications :

Desired Skills :

Target salary range : $200,001 – $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC is an Equal Opportunity Employer. For more information, visit saic.com . For ongoing news, please visit our newsroom.

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