Azure Data Engineer

Plateau GRP is seeking an experienced Azure Data Engineer to support a major data modernization initiative for the Federal Deposit Insurance Corporation (FDIC). The selected candidate will play a key role in designing, implementing, and optimizing modern data platforms and analytics solutions in the Microsoft Azure environment.

This position requires a strong blend of technical expertise, consultative ability, and collaboration skills to work across diverse teams supporting data governance, cloud architecture, and advanced analytics efforts., * Design and build scalable Azure-based data pipelines, architectures, and data services to support FDIC's modernization objectives.

• Develop and maintain ETL/ELT workflows, data lake and warehouse structures, and data integration solutions.
• Implement best practices for data governance, data quality, and metadata management within the Azure environment.
• Collaborate with cross-functional teams to ensure secure, efficient, and compliant management of structured and unstructured data.
• Support big data, advanced analytics, and reporting/dashboarding solutions using Azure cloud technologies.
• Contribute to the design of cloud and hybrid infrastructure solutions, including serverless, containerized, and pay-per-use architectures.
• Apply machine learning (ML) and MLOps practices to operationalize and monitor data science models.
• Ensure enterprise-grade data security, access control, and cloud operations in alignment with FDIC standards.
• Collaborate in Agile teams, providing technical insight and clear communication to both technical and non-technical stakeholders.

• BA/BS/MS in Computer Science, Engineering, or an equivalent combination of education and/or experience.
• Minimum of 3 years of experience in technical roles such as developer, systems analyst, or data engineer.
• This position requires US Citizenship and the ability to pass/obtain any required government background check or security clearance. An active security is preferred.
• Strong consultative skills and ability to operate effectively across functional teams.
• Excellent presentation and communication skills with a proven ability to translate complex technical concepts clearly.
• Solid project and team management experience within Agile environments.
• One or more Microsoft Azure Cloud Certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect, or Azure AI Engineer).
• Enterprise-scale experience in:
• Cloud and hybrid infrastructures
• Enterprise solution architecture
• Data pipelines and integration
• Cloud and data security
• Data management and cloud operations
• Hands-on experience with:
• Azure Data Factory, Synapse Analytics, Databricks, Data Lake, and Power BI
• SQL and NoSQL database technologies
• Serverless, container-based, and event-driven architectures
• Big Data and Advanced Analytics in Azure environments
• Data Governance, Data Engineering, and Data Science workflows
• Machine Learning and MLOps best practices, * Prior experience supporting federal data modernization or enterprise transformation programs.
• Familiarity with DevOps and CI/CD pipelines in Azure environments.
• Proficiency in Python, PySpark, SQL, or similar languages for data transformation and analysis.
• Experience integrating AI and analytics solutions with data platforms.