Solution Architect Lead

Reposted One Month Ago
Hiring Remotely in United States
Remote
Senior level
Software • Business Intelligence • Consulting
We help organizations automate processes, and analyze data with Alteryx, UiPath, Tableau, Snowflake, and more!
The Role
Lead design of end-to-end analytics and data solutions, produce architecture diagrams and technical designs, guide delivery teams, run client discovery and requirements sessions, support pre-sales and proposals, build reusable frameworks, and manage and mentor a delivery team to ensure quality and alignment to architecture.
Summary Generated by Built In

Capitalize is on a mission to radically change how organizations make decisions. We exist to help organizations grow smarter — connecting people, data, and technology, so every decision drives meaningful progress. We partner with best-in class technologies like Alteryx, Anthropic, Databricks, Snowflake, Workday, Fabric and UiPath, focusing on simplifying business intelligence and analytics for everyone.


Capitalize offers the chance to build unparalleled networks and the opportunity to work with great people. Our focus is, and always will be, our customers. We lead the way in providing innovative solutions to help companies see and understand their data – allowing them to drive faster, smarter, better business decisions and results.


About the Role:

We are looking for a Solution Architect to lead the design of end-to-end analytics and data solutions for our clients while managing a team that builds them. This is a client-facing role: you will lead discovery and requirements sessions, translate business objectives into technical architecture, and guide delivery teams through implementation. You’ll operate as the technical anchor on engagements, trusted by clients and internal teams to make sound, defensible architecture decisions under real-world constraints of timeline, budget, and legacy systems.

Key Responsibilities:

  • Lead client discovery and requirements-gathering sessions to define business objectives, data sources, and success criteria for analytics engagements
  • Design end-to-end solution architectures spanning data ingestion, modeling, warehousing, transformation, and reporting/visualization layers
  • Produce architecture diagrams, technical design documents, and solution roadmaps that are clear to both technical and non-technical stakeholders
  • Partner with project managers and engagement leads by serving as the primary technical point of contact for client stakeholders throughout the engagement lifecycle
  • Guide and review the work of data engineers, analysts, and BI developers to ensure solutions are built to the architected design and to firm quality standards
  • Contribute to internal capability building: reusable frameworks, accelerators, and architecture standards that improve delivery speed and consistency across engagements
  • Support pre-sales activity, including solution scoping, effort estimation, and proposal or RFP responses
  • Directly manage a team including staffing, workload balancing, and day-to-day performance management, while mentoring them on architecture best practices and client delivery standards


Qualifications:

  • 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) and ability to evaluate and recommend additional tools and systems
  • Support pre-sales activity, including solution scoping, effort estimation, and proposal or RFP responses
  • 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

Skills Required

  • 7+ years of experience designing and delivering end-to-end data and analytics solutions
  • Hands-on experience in at least one major cloud data platform (Snowflake, Databricks, AWS, Azure, or GCP)
  • Strong SQL skills
  • Working knowledge of data modeling approaches (dimensional modeling, data vault, or similar)
  • Bachelor's or master's degree in computer science, Information Systems, or related field, or equivalent experience
  • Willingness to travel to client sites as engagements require
  • Support pre-sales activity including solution scoping, effort estimation, and proposal/RFP responses
  • Direct management of a team including staffing, workload balancing, and performance management
  • Legally authorized to work in the United States without sponsorship
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The Company
HQ: Dallas, TX
123 Employees

What We Do

Capitalize helps organizations radically change the way they make decisions. Using cutting-edge analytics solutions, we uncover, discover, and extract what’s hidden in your data, so you can understand that data, and make informed decisions to improve performance. We focus on providing a complete analytics solution that allows users to get their hands on the right data, at the right time. We can help acquire, prep, blend, analyze, predict, and visualize your data and results immediately. Our philosophy is that each and every client is unique, therefore, the approach must be also. We don’t adhere to a “one size fits all” or a “blanket approach” to help you solve complex problems or make complex decisions. Our consultants have developed extensive expertise across many types of industries and recognize that no 2 companies are alike. We bring our industry knowledge to the table to solve industry-specific challenges facing business decision-makers and recommend the best solution for your company that fits your situation and needs. Our functional expertise: Accounting Tax & Audit Human Resources Engineering Finance (FP&A) Logistics Quality/Maintenance Sales Marketing Geospatial Our industry specialties: Oil and Gas Manufacturing Healthcare Pharmaceuticals Energy Technology Real Estate Industrial Equipment Marketing Sports Higher Ed & K12 Financial Services Logistics Professional Services Retail Construction Advertising Insurance Media Distribution Hospitality

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