eNcloud Services Immediate requirement Job title: Azure Data Architect
Location: Atlanta, GA Position: Hybrid Type: C2C/W2 While the intent may be a long-term tenure, this position is subject to annual budget restrictions. The initial contract is through the end of this fiscal year and is anticipated to be renewed July 1st. *Key Responsibilities:* *Data Architecture:* · Design end-to-end data architecture leveraging Microsoft Fabric's capabilities. · Design data flows within the Microsoft Fabric environment. · Implement OneLake storage strategies. · Configure Synapse Analytics workspaces. · Establish Power BI integration patterns. I*ntegration Design:* · Architect data integration patterns between IES Gateway and the analytics platform using Azure Databricks and Microsoft Fabric. · Design Delta Lake architecture for IES Gateway data. · Implement medallion architecture (Bronze/Silver/Gold layers). · Create real-time data ingestion patterns. · Establish data quality frameworks. *Lakehouse Architecture:* · Implement modern data lakehouse architecture using Delta Lake, ensuring data reliability and performance. *Data Governance:* · Establish data governance frameworks incorporating Microsoft Purview for data quality, lineage, and compliance. *Implement row-level security.* · Configure Microsoft Purview policies. · Establish data masking for sensitive information. · Design audit logging mechanisms. *Pipeline Development:* · Design scalable data pipelines using Azure Databricks for ETL/ELT processes and real-time data integration. *Performance Optimization*: · Implement performance tuning strategies for large-scale data processing and analytics workloads. · Optimize Spark configurations. · Implement partitioning strategies. · Design caching mechanisms. · Establish monitoring frameworks. *Security Framework:* Design and implement security patterns aligned with federal and state requirements for sensitive data handling. *Required Qualifications:* Education: Bachelor’s degree in computer science or related field. Experience: • 6+ 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 This position requires strong expertise in modern data architecture with specific focus on Microsoft's data platform. The successful candidate will play a crucial role in designing and implementing scalable data solutions that enable efficient data processing and analytics for state-level grant management and reporting systems. -- Thanks & Regards, *JONNALA RAJENDRA* *Associate, Client Relations and Business Development* *P : +1 (281) 595-0972* *E *: rjonn...@encloudservices.com *LINKEDIN:https://www.linkedin.com/in/jonnala-rajendra-a79516282/ <https://www.linkedin.com/in/jonnala-rajendra-a79516282/>* *www.encloudservices.com <http://www.encloudservices.com>* Katy, TX | Westborough, MA. -- You received this message because you are subscribed to "rtc-linux". Membership options at http://groups.google.com/group/rtc-linux . Please read http://groups.google.com/group/rtc-linux/web/checklist before submitting a driver. --- You received this message because you are subscribed to the Google Groups "rtc-linux" group. To unsubscribe from this group and stop receiving emails from it, send an email to rtc-linux+unsubscr...@googlegroups.com. To view this discussion visit https://groups.google.com/d/msgid/rtc-linux/CAG1sA7dK7oUZhpNiPw0B6Bzi%2Bgj4wV-feqOQDm9VOkJomM%2BWzg%40mail.gmail.com.