Capitalize Analytics Logo

Capitalize Analytics

Solution Architect Lead

Reposted One Month Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
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.
The summary above was generated by AI

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

Similar Jobs

5 Days Ago
Remote
USA
180K-240K Annually
Expert/Leader
180K-240K Annually
Expert/Leader
Artificial Intelligence • Information Technology
Leads architecture and delivery of production-ready data science, AI, machine learning, forecasting, optimization, and analytics solutions on Azure. Partners with clients, translates business needs into scalable technical designs, guides modeling and deployment, and manages a Senior Data Scientist. Responsibilities include technical leadership, client engagement, model monitoring, stakeholder communication, solution estimation, mentoring, and delivery oversight across complex and ambiguous data environments.
Top Skills: SparkAPIsArimaAzure Ai FoundryAzure Ai SearchAzure DatabricksAzure Machine LearningAzure OpenaiAzure Synapse AnalyticsC++Data LakesData WarehousesDatabricksGpu AccelerationMicrosoft 365 AgentsNoSQLPower BIProphetPythonPyTorchTbatsTemporal Fusion Transformer
21 Days Ago
Remote
United States
Expert/Leader
Expert/Leader
Information Technology
Provides senior technical leadership for DoD client IT systems, including architecture, DevSecOps, cloud migration, system integration, and modernization. Leads development, cloud engineering, and platform teams; manages technical debt, interfaces, data exchange, security, and cross-team dependencies. Oversees architectural reviews and ensures secure, scalable, maintainable solutions across classified and unclassified environments.
Top Skills: AgileAWSCi/CdCloud OneDevsecopsJavaOracleOracle CloudRmfSafeStigs
29 Days Ago
Remote
United States
140K-175K Annually
Expert/Leader
140K-175K Annually
Expert/Leader
Big Data • Cloud • Hardware • Software • App development
Lead client-facing FinOps engagements from discovery through realization, including cloud cost assessments, tooling implementation, allocation models, optimization, governance, and technical remediation. Advise executive stakeholders, architect solutions across AWS, Azure, or GCP, and support presales proposals. Develop reusable delivery frameworks, playbooks, SOWs, pricing models, and scalable offerings, including emerging AI infrastructure cost-management practices.
Top Skills: AWSAws Cost ExplorerAzureAzure Cost ManagementCloudabilityCloudhealthGCPGcp BillingInfrastructure As Code

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account