Solution Architect
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Job Description
Solution Architect providing technical advice during sales cycles at WhereScape. Collaborating with customers to optimize their data architectures and drive business success.
Responsibilities:
- Act as a trusted technical advisor to prospects and customers, supporting the sales cycle from discovery through proof of concept, demonstration, and technical close
- Design and articulate data warehouse and analytics architectures using WhereScape products across cloud, on-prem, and hybrid environments
- Lead technical discovery to understand customer data platforms, business requirements, and architectural constraints
- Deliver compelling product demonstrations, workshops, and proof-of-value engagements tailored to customer use cases
- Translate business and technical requirements into scalable data warehouse designs, including dimensional, Data Vault, and hybrid approaches
- Advise customers on best practices for data modeling, data integration, automation, and performance optimization
- Collaborate closely with Sales, Product Management, and Marketing to ensure accurate positioning, feedback loops, and field enablement
- Support RFP and technical evaluation responses, including architecture descriptions and solution designs
- Assist with customer onboarding activities and early-stage implementations as needed to ensure successful outcomes
- Stay current on WhereScape capabilities, supported platforms, and broader data warehousing and analytics trends
Requirements:
- 5+ years of experience in data warehousing, analytics engineering, or data platform architecture
- 3+ years of experience in a pre-sales, solution architect, or customer-facing technical role within a software or data platform organization
- Strong understanding of data warehouse concepts, including dimensional modeling, Data Vault, ELT/ETL patterns, and metadata-driven automation
- Hands-on experience working with modern data platforms and targets, such as: Cloud data warehouses (Snowflake, Azure Synapse, BigQuery, Redshift) or Relational databases (SQL Server, PostgreSQL, Oracle, etc.)
- Solid SQL skills and the ability to reason about query performance, data structures, and optimization
- Experience designing and explaining data architectures to both technical and business audiences
- Comfort working in cloud and hybrid environments, including security, connectivity, and deployment considerations
- Strong presentation and communication skills, with the ability to explain complex technical concepts clearly
- Ability to work independently, manage multiple opportunities, and prioritize effectively in a fast-moving sales environment
Benefits:
- Health insurance
- 401(k) matching
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