Senior Data Architect

The Opportunity:

We are seeking an experienced Senior Data Architect to lead the design, modernization, and governance of our enterprise data ecosystem. This role is critical in preparing our data platforms, pipelines, and governance frameworks for large-scale AI and advanced analytics initiatives. The ideal candidate brings deep technical expertise, strong architectural instincts, and a strategic view of how data must evolve to support AI-driven business outcomes.

The right candidate will work with the Data Reporting Team and their customers to facilitate communication and determine software objectives that align with stated and understood business needs.  In this role, you will identify, define, and document business processes and software/integration requirements, test cases, etc.

Responsibilities:

• Lead the architecture, design, and implementation of enterprise data platforms that support analytics, machine learning, and AI workloads.

• Define and drive an enterprise-wide AI data readiness strategy, including data quality, metadata management, lineage, and feature availability.

• Develop and maintain scalable data models, data integration patterns, and data pipelines optimized for AI and real‑time insights.

• Partner with Data Science, Engineering, Security, and Product teams to ensure data accessibility, governance, and reliability.

• Establish and enforce data architecture standards, best practices, and design patterns that enable interoperability across systems.

• Assess current-state data environments and develop target-state architectures to support AI/ML model training, deployment, and monitoring.

• Provide technical leadership on data modernization, including cloud migration, data lakehouse implementation, and event-driven architectures.

• Evaluate emerging technologies, especially around MLOps, vector databases, semantic layers, and LLM integration—to ensure platforms support future AI capabilities.

• Champion the adoption of robust data governance practices, ensuring compliance, privacy, and security across data assets.

• Mentor engineering teams and guide solution architects on data decisions aligned with enterprise strategy.

Qualifications:
Required: 

• 5+ years of experience in data architecture, data engineering, or enterprise architecture roles.

• Proven experience designing large-scale data ecosystems (cloud, distributed systems, lakehouse architectures).

• Strong understanding of AI/ML data needs including:

• data labeling and curation

• feature engineering and feature stores

• vector embeddings and retrieval-augmented architectures

• GPU/ML workload data provisioning

• Expertise with modern data technologies (e.g., Databricks, Snowflake, Synapse, BigQuery, AWS/GCP/Azure data services).

• Advanced SQL and data modeling skills (logical, physical, dimensional, semantic modeling).

• Deep knowledge of data governance tools, metadata management, and lineage frameworks.

• Strong communication skills and the ability to translate complex data concepts into business value.

Desired:

• Bachelor’s Degree in Information Technology, Computer Science, Computer Information Systems, Business, or applicable field. 

• ITIL v3 or ITIL v4 Certification.

• Working knowledge of service delivery frameworks and methodologies including – Agile, PMBOK, ITIL, etc.

• Experience with Cognos, PowerBI and SQL

What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is: