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.
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
