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

3 Days Ago
In-Office or Remote
Expert/Leader
Expert/Leader
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
Lead SAP analytics strategy, architecture, and full lifecycle implementations across SAP Analytics Cloud, BW, HANA, Datasphere, and S/4HANA. Design planning models, analytics integrations, data extraction, and migration roadmaps. Gather requirements, configure and test solutions, support deployments, and deliver actionable insights for business stakeholders. Manage and mentor analytics teams while aligning global analytics initiatives with organizational objectives.
Top Skills: Sap Analytics CloudSap BwSap Bw/4HanaSap Data ServicesSap Data Sphere BdcSap Data Warehouse CloudSap DatasphereSap EccSap HanaSap S/4HanaSap Slt
5 Days Ago
Remote
USA
54K-66K Annually
Senior level
54K-66K Annually
Senior level
Information Technology • Consulting
Leads client discovery and requirements gathering for analytics engagements; designs end-to-end data solution architectures covering ingestion, modeling, warehousing, transformation, and reporting. Produces technical documentation, guides engineering and BI teams, supports presales scoping and proposals, develops reusable architecture standards, and manages and mentors technical staff. Requires cloud data platform experience, strong SQL and data modeling skills, and willingness to travel to client sites.
Top Skills: AWSAzureBusiness IntelligenceData ModelingData VisualizationData WarehousingDatabricksGCPSnowflakeSQL
One Month 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 Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account