Lakehouse Architect – Databricks SME

CACI International Inc

. Lead the design and implementation of a secure, scalable enterprise data lakehouse using Azure Databricks, Azure Data Lake Storage, Delta Lake, and Unity Catalog .

Posted 9/23/2026full-timeUnited StatesSeniorLead💰 $114,600 - $252,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in designing and implementing secure, scalable enterprise data lakehouse solutions using Azure Databricks, Delta Lake, and Unity Catalog. Proficient in architecting data platforms that support SQL analytics, machine learning, and data governance in compliance with federal security requirements.

Highest-signal resume keywords

Azure DatabricksDelta LakeUnity CatalogData Lakehouse ArchitectureSQL Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData EngineeringDimensional ModelingRelational DatabasesGraph DatabasesPySparkMachine LearningPerformance OptimizationCompute ConfigurationData Governance

Soft Skills

CollaborationTechnical ExpertiseTraining Development

Tools & Technologies

Azure Data Lake StorageMLflowFeature StoresAI/ML Model PipelinesCloud Analytics

Certifications & Qualifications

Active DHS/EOD Clearance

Industry Keywords

Federal Security RequirementsFedRAMPNIST 800-53Government CloudInvestigative Analytics

Tech Stack

Tools & technologies

AzureCloudPySparkPythonScalaSQLUnity

About the role

Key responsibilities & impact

Lead the design and implementation of a secure, scalable enterprise data lakehouse using Azure Databricks, Azure Data Lake Storage, Delta Lake, and Unity Catalog
Architect tiered raw/bronze, curated/silver, and analytics-ready/gold storage zones with data quality, transformation, and governance controls
Design workspace architecture, compute cluster strategies, autoscaling policies, job orchestration, and cost optimization approaches
Design data catalog integration, metadata management, SQL-accessible tables/views, governed data discovery, and lineage tracking
Support relational warehousing, graph/network analysis, geospatial analytics, and machine learning feature engineering
Modernize analyst and data scientist workflows from local workstation processing to collaborative cloud-based notebooks, SQL analytics, and platform-native tools
Provide technical expertise and surge support for data architecture, analytical database design, performance optimization, and specialized data analysis
Design and implement ML engineering infrastructure, including MLflow, feature stores, model training environments, and Databricks/AI platform integrations
Develop training content, best-practices guidance, workflow documentation, and user enablement materials
Collaborate with Government stakeholders, data engineers, AI engineers, and governance specialists on mission analytics, governance, and Agile delivery

Requirements

What you’ll need

Bachelor's degree + 15 years of experience in data architecture, data engineering, analytics engineering, or related field; equivalencies considered (Master's + 12 years; 21 years with no degree; AA + 17 years)
Must be able to obtain an Active DHS/EOD Clearance as required
Deep expertise in Azure Databricks, Delta Lake, Unity Catalog, and medallion architecture patterns
Experience architecting and implementing lakehouse solutions
Experience designing enterprise data platforms supporting SQL analytics, Python/R/Scala data science notebooks, machine learning, and visualization integration
Strong background in dimensional modeling, relational databases, graph databases, and data lake/lakehouse architectures
Hands-on experience with Azure Data Lake Storage, PySpark, SQL, performance optimization, compute configuration, and cloud analytics cost management
Experience with Azure Government or other secure government cloud environments, FedRAMP, NIST 800-53, and federal security requirements
Experience integrating Databricks with Azure AI services, MLflow, feature engineering frameworks, MLOps, and AI/ML model pipelines
Background in federal government, law enforcement, investigative analytics, or national security data environments

Benefits

Comp & perks

Flexible time off benefit
Robust learning resources
Healthcare benefits
Wellness benefits
Financial benefits
Retirement benefits
Family support benefits
Continuing education benefits
Time off benefits
Competitive compensation
Learning and development opportunities