Senior Azure Data Engineer

Analytica•Bethesda, MD

About The Position

Analytica is seeking a Senior Data Engineer (Azure) to support one or more dynamic, long-term federal government enterprise data programs. The role will lead the architecture and engineering of Azure cloud big data solutions as part of enterprise data modernization. The successful candidate will join a high-impact team driving the evolution of cloud-native analytics, regulatory science, and mission-critical data systems. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable laws When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Requirements

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.
Leadership Track Record: Proven experience leading cross-functional technical teams and mentoring junior engineers within an Agile framework.
Modern Data Stack: Mastery of Azure Synapse Analytics, ADLS Gen2, and Azure Data Factory for complex ETL/ELT orchestration and data lakehouse design.
Data Modeling & Strategy: Expert-level knowledge of conceptual, logical, and physical data modeling (e.g., Star/Snowflake schemas) and modern paradigms like Data Mesh or Data Fabric.
Automation & DevOps: Deep proficiency in YAML-based CI/CD pipelines and Infrastructure as Code (IaC) using tools like Terraform, Bicep, or ARM templates.
Microsoft Purview and similar data governance technologies
Security & Compliance: 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

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.