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