Hiring: Data Architect - Managed Services Company: 3Cloud Location: United States Job Posted Time: 2026-09-10 14:53:10 Employment Type: Remote Target Skills & Keywords : Azure, Data Lake, Data Pipeline, Data Warehouse, Databricks, Delta Lake, EHR, Epic Systems, HIPAA, SAP, SQL, Spark About the job Experience: •3+ years working with data and business intelligence solutions on the Microsoft tool stack for Business Intelligence, or other vendor Business Intelligence tools (Business Objects, MicroStrategy, Qlik, SAP) Required Skills: •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. Qualifications: •Strong familiarity with multi-source healthcare environments: Epic Clarity, Caboodle, Health Catalyst, claims, EHR, scheduling, etc. •Understanding of data quality issues common in clinical and operational systems. •Demonstrated capacity to understand the Health Catalyst Power Platform accelerator at an architectural level. •Define extension patterns and integration approaches between Databricks and Power Platform. •Bachelor’s degree in Computer Science, Mathematics, or related field, or equivalent certification and experience. •Strong verbal and written communication skills •A passion for problem solving and learning new technologies. •Client relationship skills and experience managing vendors. •Demonstrated capacity 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. Compensation: •$110,000 - $165,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!