The SpyGlass Group, LLC

Cloud Engineer

• Design, develop, and support Azure Durable Functions utilizing orchestrator and activity patterns.
• Build and maintain solutions using .NET 8 (Isolated Worker) and distributed processing architectures.
• Modernize existing automation processes by converting legacy PowerShell-based workloads into scalable, stateless Azure Functions.
• Implement event-driven architectures leveraging Azure Event Hubs and related Azure services.
• Develop high-performance data ingestion pipelines utilizing watermark-based change detection, parallel processing, and scalable ingestion patterns.
• Support the migration of legacy data processing systems to Azure-based cloud infrastructure.
• Contribute to the design and implementation of modern cloud-native data processing solutions.
• Analyze and optimize existing workflows to improve scalability, reliability, and operational efficiency.
• Collaborate with architects, engineers, and stakeholders to define future-state cloud data platform capabilities.
• Design and implement data validation, reconciliation, and quality assurance frameworks.
• Develop parallel-run validation strategies to ensure accuracy during modernization efforts.
• Build comprehensive observability solutions including logging, monitoring, telemetry, and alerting.
• Implement robust error handling, retry mechanisms, and operational support processes using Azure Application Insights and related monitoring tools.
• Design, optimize, and maintain SQL Server solutions including stored procedures, queries, and database performance tuning.
• Troubleshoot complex database performance issues and implement scalable solutions.
• Ensure data integrity, consistency, and reliability across integrated systems.
• Evaluate downstream dependencies including reports, integrations, data feeds, and business applications.
• Partner with technical and business teams to ensure successful solution delivery.
• Participate in architecture discussions, code reviews, and technical design sessions.
• Document solutions, processes, and technical standards.
• Provide technical leadership and mentorship to engineering resources, including offshore development teams when applicable.
• Coordinate development activities across distributed teams and promote engineering best practices, code quality standards, and knowledge sharing.
• Encourage the effective use of AI-assisted development tools such as GitHub Copilot (or similar) to accelerate code generation, documentation, testing, and engineering productivity.

Senior Data Engineer, Azure

IT Support

• Define end-to-end enterprise data and AI architectures across Data platforms (Fabric, Databricks)
• Lead discovery sessions, strategy workshops, and innovation hubs
• Transition from pre-sales into delivery oversight
• Serve as a technical program lead across multiple accounts
• Drive customer adoption and satisfaction
• Represent the company in strategic client interactions

Senior Data Engineer, Azure

Enterprise Architect