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Lead Solution Architect

đź•’ July 25

🇺🇸 United States – Remote

⏰ Full Time

đźź  Senior

đź’» Solutions Engineer

đź‘» Ghost score 10%

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Logo of Capitalize Analytics

Capitalize Analytics

51 - 200 employees

đź’Ľ Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capitalize Analytics is a data analytics and technology consulting firm that helps organizations implement, integrate, and operationalize business intelligence, automation, and data platforms. They provide services including custom report development, data integration, cloud data warehousing, software selection and implementation, Alteryx governance and managed services, RPA (UiPath) automation, training/mentoring, and project management. Capitalize partners with vendors like Alteryx, UiPath, Snowflake, Databricks, Power BI, Tableau, Cognos and serves enterprise clients across sectors—especially energy (midstream/plant accounting), healthcare, education, and public sector—delivering analytics, reporting, and workflow automation solutions.

đź“‹ Description

• Lead the design of end-to-end analytics and data solutions for clients • Manage a team that builds these solutions • Lead discovery and requirements sessions • Translate business objectives into technical architecture • Guide delivery teams through implementation • Produce architecture diagrams and technical design documents • Partner with project managers and engagement leads • Guide and review work of data engineers, analysts, and BI developers • Contribute to internal capability building: reusable frameworks and architecture standards • Support pre-sales activity, including solution scoping and RFP responses • Directly manage a team including staffing, workload balancing, and performance management.

🎯 Requirements

• 7+ years of experience designing and delivering end-to-end data and analytics solutions, from source systems through to reporting and consumption layers • Hands-on experience in at least one major cloud data platform (e.g., Snowflake, Databricks, AWS, Azure, or GCP) • Strong SQL skills and working knowledge of data modeling approaches (dimensional modeling, data vault, or similar) • Bachelor's or master’s degree in computer science, Information Systems, or a related field, or equivalent experience • Willingness to travel to client sites as engagements require • Candidates must be legally authorized to work in the United States without sponsorship.

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