Databricks Architect

Databricks Architect

SAIC is looking for an experienced Databricks Architect to lead architectural design and implementation of Databricks-based solutions within a broader AI / ML platform environment. The role is part of the core platform team, enabling scalable, secure, and reusable data science and GenAI workflows across federal mission use cases.

Key Information

Location

Remote Work, DC, US

Date Posted

2025-11-04

Category

Engineering and Sciences

Subcategory

Solutions Architect

Schedule

Full-time

Shift

Day Job

Travel

No

Minimum Clearance Required

None

Clearance Level Must Be Able to Obtain

Public Trust

Potential for Remote Work

Yes

Salary Range

$200,001 - $240,000

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

Bachelor's or master's degree in computer science, data engineering, or a related technical field.

8+ years of experience in data architecture, platform engineering, or advanced analytics.

5+ years of hands-on experience designing and implementing Databricks environments in AWS.

Must be a U.S. Citizen with the ability to obtain and maintain a Public Trust security clearance.

Strong working knowledge of Spark, Delta Lake, MLflow, Unity Catalog, and Databricks Runtime for ML.

Solid foundation in data modeling, ETL pipeline design, and modern data lake architecture.

Familiarity with MLOps practices, model lifecycle management, and compliance-aligned deployment patterns.

Desired Skills

Active IRS Security Clearance is highly desired.

Awareness of GenAI integration patterns and experience supporting LLM experimentation or prompt-based workflows.

Experience working with infrastructure-as-code and CI / CD tools (Terraform, Bitbucket, Bamboo).

Understanding of government compliance standards (FedRAMP, NIST, SOC2) and secure boundary design.

Ability to collaborate across multiple engineering teams to support reusable, well-governed platform architecture.

Excellent communication skills and technical documentation ability.

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