Solution Architect Lead

Capitalize Analytics; United States; Remoto; USD 140.000 - 200.000; Tempo pieno

Descrizione del lavoro

Capitalize Analytics is seeking a seasoned Data Architect to design end-to-end data and analytics solutions across ingestion, modeling, warehousing, transformation, and reporting layers. You will produce architecture diagrams and roadmaps that are clear to both technical and non-technical stakeholders.

You will lead and mentor a team of data engineers, analysts, and BI developers to ensure solutions align with the architected design and firm quality standards.

Competenze

• 7+ years designing and delivering end-to-end data and analytics solutions.
• Hands-on experience with at least one major cloud data platform (Snowflake, Databricks, AWS, Azure, or GCP).
• Strong SQL and data modeling knowledge (dimensional modeling, data vault, or similar).
• Willingness to travel to client sites as engagements require.
• Legal authorization to work in the United States without sponsorship.

Mansioni

• Design end-to-end solution architectures spanning data ingestion, modeling, warehousing, transformation, and reporting layers.
• Produce architecture diagrams, technical design documents, and roadmaps clear to technical and non-technical stakeholders.
• Partner with project managers and engagement leads as the primary technical contact for client stakeholders.
• Guide and review the work of data engineers, analysts, and BI developers to ensure quality standards.
• Contribute to internal capability building with reusable frameworks, accelerators, and architecture standards.
• Support pre-sales activities including solution scoping, effort estimation, and RFP responses.
• Directly manage a team including staffing, workload balancing, and day-to-day performance, mentoring on best practices.

Conoscenze

Data architecture

Cloud data platforms

SQL skills

Formazione

Bachelor’s or Master’s in CS/IS

Descrizione del lavoro

The role

• 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)
• 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