Cloud Engineer

• Develop and implement scalable, secure, cloud-based data platforms, including data lakes, lakehouses, or data warehouses
• Align platforms with federal security requirements, judiciary architecture standards, data governance policies, and modernization initiatives
• Engineer multi-tenant cloud environments supporting hybrid/on-premises systems and multiple database models
• Produce and maintain dimensional data models for data marts and data products
• Develop and maintain downstream data marts, consumable data, ETL/ELT processes, reports, and dashboards
• Create and maintain technical, data model, testing, and design documentation
• Develop, deploy, and maintain data presentation and reporting solutions
• Support data and technology roadmaps for data engineering, analytics, reporting, and AI/ML
• Design and develop ingestion and ETL/ELT pipelines for enterprise data sources
• Implement reusable data services for analytics, reporting, data marts, and gold layers
• Implement logical and physical data models in cloud platforms such as Databricks
• Develop secure, testable, high-quality code
• Support CMM Data Classification Standards, including workshops, security controls, metadata, and training
• Configure metadata structures, workflows, automation, and security settings
• Create training, job aids, and communications for user adoption
• Integrate pipelines with cloud services, messaging, and storage components
• Implement data quality checks, validations, and error handling
• Optimize pipeline performance, scalability, and cost efficiency
• Support CI/CD deployments, automated testing, and environment promotion
• Participate in code reviews, design reviews, and sprint ceremonies
• Resolve incidents and perform root cause analysis for pipeline failures
• Maintain runbooks, workflows, technical documentation, and audit-ready artifacts
• Partner with architecture, governance, and migration teams on migration, archiving, and disaster recovery
• Deliver migration documentation for scripts, transformations, and validation results
• Support failover testing and disaster recovery drills
• Implement operational databases, document storage, indexing services, schemas, and secure data APIs using infrastructure as code
• Operate across multiple Agile scrum teams and collaborate with architects, DBAs, business analysts, and QA personnel
• Ensure code quality, performance, security, governance, audit compliance, and delivery timelines

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