Analytica · 1 day ago
Senior Azure Data Engineer
Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. They are seeking a Senior Data Engineer (Azure) to lead the architecture and engineering of Azure cloud big data solutions as part of enterprise data modernization.
AnalyticsBig DataBusiness IntelligenceConsulting
Responsibilities
Lead the development and enhancement of a shared enterprise data environment that meets a diverse set of Analytics, Reporting, and Data Science federal requirements
Engage with clients and use a variety of information gathering techniques (e.g., interviews, facilitation, diagrams) to gather complex business data requirements from Business teams
Architect Federal Data Lakes: Design and build secure, enterprise-scale storage and analytics solutions using Azure Synapse and ADLS Gen2 to support critical government missions
Deploy Modern AI & Fabric: Implement Azure Fabric and Azure Machine Learning to transform raw data into predictive, AI-driven insights across the agency
Engineer Real-Time Pipelines: Develop high-performance ETL/ELT workflows using Azure Data Factory and Event Hubs for seamless data orchestration and streaming
Automate with DevOps: Lead the transition to "Data as Code" by building YAML-based CI/CD pipelines in Azure DevOps for rapid, secure, and auditable deployments
Lead Agile Delivery: Drive technical execution within an Agile framework, using Azure Boards to manage complex sprints and mentor engineering teams in a collaborative environment
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Science, or related field
10+ years of experience developing enterprise data warehouse / lake solutions, with at least 5+ years specifically designing and implementing Azure-based Cloud Architectures
Proven experience leading cross-functional technical teams and mentoring junior engineers within an Agile framework
Mastery of Azure Synapse Analytics, ADLS Gen2, and Azure Data Factory for complex ETL/ELT orchestration and data lakehouse design
Expert-level knowledge of conceptual, logical, and physical data modeling (e.g., Star/Snowflake schemas) and modern paradigms like Data Mesh or Data Fabric
Deep proficiency in YAML-based CI/CD pipelines and Infrastructure as Code (IaC) using tools like Terraform, Bicep, or ARM templates
Demonstrated enterprise expertise in Microsoft Purview and similar data governance technologies
Demonstrated ability to architect solutions aligned with FedRAMP High, DoD IL4/IL5, and NIST 800-53 standards, incorporating Zero Trust principles
US citizen with Ability to secure a US Federal Clearance
Benefits
Competitive compensation
Opportunities for bonuses
Employer-paid health care
Training and development funds
401k match