Job description

Title: Data Architect - Microsoft Fabric & Azure Databricks Location: Atlanta, GA Hybrid - (On-site: Tuesday to Thursday, per manager's discretion) Duration: 6 months+ Interview: Either Web Cam or In Person Job Description: Seeking an experienced Data Architect to design and implement enterprise data solutions using Microsoft Fabric and Azure Databricks for integration with state-level systems. This role will focus on creating scalable data architecture that enables seamless data flow between Gateway and our analytics platform. The ideal candidate will have deep expertise in modern data architecture, with specific experience in Microsoft's data platform and Delta Lake architecture. Required Qualifications: Education: Bachelor's degree in computer science or related field. Experience: 10+ years of experience in data architecture and engineering. 2+ years hands-on experience with Azure Databricks and Spark. Recent experience with Microsoft Fabric platform. Technical Skills: Microsoft Fabric Expertise: Data Integration: Combining and cleansing data from various sources. Data Pipeline Management: Creating, orchestrating, and troubleshooting data pipelines. Analytics Reporting: Building and delivering detailed reports and dashboards to derive meaningful insights from large datasets. Data Visualization Techniques: Representing data graphically in impactful and informative ways. Optimization and Security: Optimizing queries, improving performance, and securing data Azure Databricks Experience: Apache Spark Proficiency: Utilizing Spark for large-scale data processing and analytics. Data Engineering: Building and managing data pipelines, including ETL (Extract, Transform, Load) processes. Delta Lake: Implementing Delta Lake for data versioning, ACID transactions, and schema enforcement. Data Analysis and Visualization: Using Databricks notebooks for exploratory data analysis (EDA) and creating visualizations. Cluster Management: Configuring and managing Databricks clusters for optimized performance. (Ex: autoscaling and automatic termination) Integration with Azure Services: Integrating Databricks with other Azure services like Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics. Machine Learning: Developing and deploying machine learning models using Databricks MLflow and other tools. Data Governance: Implementing data governance practices using Unity Catalog and Microsoft Purview Programming & Query Languages: SQL: Proficiency in SQL for querying and managing databases, including skills in SELECT statements, JOINs, subqueries, and window functions12. Python: Using Python for data manipulation, analysis, and scripting, including libraries like Pandas, NumPy, and PySpark Data Modeling: Dimensional modeling Real-time data modeling patterns Soft Skills: Strong analytical and problem-solving abilities Excellent communication skills for technical and non-technical audiences Experience working with government stakeholders Preferred Experience: Azure DevOps Infrastructure as Code (Terraform) CI/CD for data pipelines Data mesh architecture Certifications (preferred): Microsoft Azure Data Engineer Associate Databricks Data Engineer Professional Microsoft Fabric certifications (as they become available) Project-Specific Requirements: Experience designing data architectures for grant management systems Knowledge of federal/state compliance requirements for data handling Understanding of financial data processing requirements Experience with real-time integration patterns

Requirements