Salary
≈ $136k – $255k per year (Estimated)
Location
Remote (United States)
Seniority
Architect · 5+ years exp
Visa
H-1B filings in 12 months: 16 · green card filings: 3
Employment
Full-Time
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Jan 8, 2026. Wavicle Data Solutions scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Wavicle Data Solutions is a data and AI engineering consultancy that has been acquired by Deloitte. It advises clients on cloud data architecture, strategy and technology roadmaps and hires solution architects and engagement managers for retail and manufacturing. The company is headquartered in Chicago, Illinois, United States.
Wavicle is seeking a highly motivated Pre-Sales Solution Architect to join our team. In this role, you will partner with our sales and delivery teams to understand client needs, design technical solutions, and drive successful client engagements. You will be a key influencer in shaping proposals, demos, and RFP responses, bridging the gap between business requirements and technical execution.
WHAT YOU WILL GET TO DO
- Partner with sales teams to respond to RFPs, RFIs, and client inquiries.
- Design end-to-end technical solutions that align with client business needs and Wavicle’s offerings.
- Lead technical presentations and solution demonstrations to clients and prospects.
- Collaborate with Delivery, Engineering, and Account teams to ensure proposed solutions are feasible and scalable.
- Provide technical thought leadership on data architecture, cloud platforms, analytics, and AI/ML capabilities.
- Contribute to the development of pre-sales assets, including solution blueprints, case studies, and technical documentation.
- Stay current on emerging technologies and industry trends to inform solution design and client recommendations.
WHAT YOU BRING TO THE TEAM
- 5+ years of experience in pre-sales, solution architecture, or a similar client-facing technical role.
- Strong knowledge of cloud platforms (AWS, Azure, or GCP) and modern data architectures.
- Hands-on experience with data engineering, analytics, BI tools (Power BI, Tableau), and AI/ML pipelines.
- Experience designing enterprise-scale solutions and engaging with business stakeholders.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical audiences.
- Ability to travel as needed (typically 10-25%).
- Experience in consulting or technical services delivery preferred.
- Certifications in AWS/Azure/GCP/Databricks/Snowflake preferred.
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