Senior Data Engineer - Managed Services

Bachelor’s degree in Computer Science, Mathematics, or related field, or equivalent certification and experience. Experience working in a support role and understanding standard support processes (i.e., ITIL) 3+ years working with data and business intelligence solutions on the Microsoft tool stack for Business Intelligence (ADF, SQL DW, Synapse, Databricks, Power BI, etc.), or other vendor Business Intelligence tools (Business Objects, MicroStrategy, Qlik, SAP) Strong verbal and written communication skills A passion for problem solving and learning new technologies. Client relationship skills and experience managing vendors. Ability to work in a fast paced, rapidly changing environment. Strong desire for personal development and learning, including commitment to continuously upgrading your technical skills as the data landscape change. Advanced experience with Databricks: Delta Lake, Unity Catalog, jobs, clusters, notebook development. Strong hands-on PySpark development; optimization of distributed jobs; handling large datasets. Spark SQL: complex query writing, performance tuning, incremental loads, and ETL frameworks. Python: production-grade scripting, data pipelines, modular code, testing, orchestration. Azure Data Ecosystem: Azure Data Lake, Key Vault, ADF or Fabric pipelines, DevOps repos, CI/CD familiarity. Experience with Epic Clarity, Caboodle, ServiceNow, or other healthcare operational systems. Ability to navigate large schemas (10k+ tables/views) and complex healthcare data models. Understanding of PHI, HIPAA, access control, and secure data handling. Ability to configure, extend, and troubleshoot basic Power Apps/Power Platform components. Light UI customization skills (adding fields, updating screens, configuring logic). Strong ETL/ELT development patterns and best practices. Experience supporting production pipelines, monitoring, troubleshooting, and resolving data quality issues. Ability to quickly learn new accelerators/frameworks (e.g., Health Catalyst accelerator on Power Platform). Strong debugging across distributed systems (cluster logs, lineage, job failures). Excellent communication with both project and support teams. Ability to learn new client environments quickly. Comfortable working in a fast-paced environment with evolving requirements. Strong documentation habits and handoff practices.

Lead support of client’s Azure Data platform and Power BI Environment, including response to any escalations while helping to analyze and resolve incidents for customers environment. Consult, develop, and advise on solutions in Microsoft Azure with tools such as Synapse, Data Factory, Databricks, Azure ML, Data Lake, Data Warehouse, and Power BI. Consult, develop, and advise on Power BI, including governance, strategy, report development, performance. Consistently learn, apply, and refine skills around data engineering and data analytics. Proactively mentors junior team members and actively gives feedback on their work and performance. Design and deploy data pipelines, models, and AI-driven solutions for clients in various industries. Understand and work with customers on licensing involving Microsoft data solutions and understand the limits/advantages of each licensing platform. Takes responsibility for the quality of deliverables and solutions. Supports and participates in the estimating of work to be done by self and others. Communicate ticket status information to all associated parties and escalate cases as appropriate. Interact with clients to identify issues, troubleshoot expediently, and follow up on issues via e-mail, ticketing system, and phone calls. Communicate technical issues and solutions with clients in business terms. Intentionally builds relationships with client teams. Prioritizes work appropriately, asks questions when priorities are unclear, and completes work accordingly. Quickly recognizes when escalation is needed and promptly acts. Create and maintain updated documentation for each client’s environment. Promote best practices for clients and internally to enhance and improve organizational processes. Periodically contributes to one or more 3Cloud internal communities.