Loopback Analytics

• Monitor and analyze cloud spend across Azure, Databricks, and Snowflake (if applicable). • Build cost tracking and reporting dashboards using native tools (Azure Cost Management, Databricks Billing APIs & Dashboards, Power BI) and SQL/Python. • Develop tagging and cost-allocation frameworks to support chargeback and forecasting models. • Partner with Engineering and Infrastructure to optimize compute usage, storage tiers, and licensing. • Recommend query tuning, partitioning and caching strategies to improve performance and reduce cost-per-job on Databricks. • Support monthly budget reviews and identify trends, anomalies, and optimization opportunities. • Manage governance policies for resource provisioning and cost alerts. • Partner with Information Security to ensure FinOps practices and cost controls align with SOC2 and HIPAA compliance requirements. • Provide insights into FinOps maturity and recommend process improvements.

• Design and build data pipelines for collecting, processing, and storing healthcare clinical data, and continuously improve them. • Collaborate with data scientists, data integration specialists, analysts, and other stakeholders to understand data requirements and translate them into scalable solutions. • Implement data validation, cleansing, and transformation processes to ensure data accuracy and consistency. • Proactively monitor and troubleshoot pipeline performance, identifying and resolving issues before they become problems. • Ensure data security and compliance with industry regulations, including HIPAA. • Partner with the DevOps team to deploy and manage data pipeline infrastructure in our Azure cloud environment. • Evaluate and adopt emerging tools, frameworks, and techniques that can improve our data platform: bring recommendations, not just questions. • Leverage AI-assisted development tools and modern engineering workflows to accelerate delivery and improve code quality.