Company
Technology
SolutionsArchitect,Enterprise/Majors(PNW)
Neural analysis suggests this role is
optimal for Mid candidates.
“Solutions Architect, Enterprise/Majors (PNW). Skills: Data pipelines, Analytics engineering, Solution design. Lead technical discovery. Design enterprise-grade data pipelines”
What You'll Achieve.
Drive successful customer evaluations; Drive successful customer proof-of-concepts; Ensure best practices; Enable joint customer success; Enable solution integration; Improve enterprise capabilities
Industry & Context.
Translate requirements into solutions
What They're Looking For.
Must Have
4+ years experience, Technical foundation in SQL, ETL processes experience, Data modeling concepts experience, Modern data warehouse architectures experience, Translate requirements into solutions, Engage technical stakeholders, Engage non-technical stakeholders, Experience in ambiguous environments, Experience with enterprise customers, Familiarity with modern data stack, Familiarity with cloud data platforms, Familiarity with transformation workflows
Nice to Have
Data modeling approaches experience, Dimensional modeling experience, Kimball experience, Data Vault experience, 3NF experience, ETL/ELT tools exposure, Analytics platforms exposure
What You'll Do.
Lead technical discovery
Design enterprise-grade data pipelines
Implement enterprise-grade data pipelines
Partner with sales teams
Articulate technical value
Support pre-sales cycles
Drive customer evaluations
Drive customer proof-of-concepts
Guide customers through deployment
Guide customers through adoption
Guide customers through expansion
Ensure data modeling best practices
Ensure data transformation best practices
Ensure data governance best practices
Collaborate with engineering teams
Support advanced deployments
Build relationships with partners
Build relationships with cloud providers
Enable joint customer success
Enable solution integration
Act as technical advisor
Contribute feedback to product teams
Contribute feedback to engineering teams
Influence roadmap priorities
Improve enterprise capabilities
How You'll Work.
Team & Collaboration
Partner with sales teams; Collaborate with engineering teams; Build relationships with partners; Build relationships with cloud providers
Communication Scope
Technical value articulation; Engage stakeholders
Full Job Description
## Accountabilities Lead technical discovery, solution design, and implementation of enterprise-grade data pipelines using modern analytics engineering practices. Partner with sales teams to articulate technical value, support pre-sales cycles, and drive successful customer evaluations and proof-of-concepts. Guide customers through deployment, adoption, and expansion phases while ensuring best practices in data modeling, transformation, and governance. Collaborate with engineering teams to support advanced deployments, including private cloud and enterprise-scale configurations. Build strong relationships with key technology partners and cloud providers, enabling joint customer success and solution integration. Act as a trusted technical advisor throughout the customer lifecycle, from initial evaluation through long-term platform adoption. Contribute feedback to product and engineering teams to influence roadmap priorities and improve enterprise capabilities. Requirements: 4+ years of experience in solutions architecture, sales engineering, consulting, or similar roles within data, analytics, BI, or data engineering domains. Strong technical foundation in SQL, ETL processes, and data modeling concepts, with experience in modern data warehouse architectures. Ability to translate complex technical and business requirements into scalable and practical solutions. Excellent communication skills, with the ability to engage both technical and non-technical stakeholders effectively. Experience working in fast-paced, ambiguous environments with enterprise customers. Familiarity with modern data stack tools and concepts, including cloud data platforms and transformation workflows. Preferred experience with data modeling approaches such as dimensional modeling, Kimball, Data Vault, or 3NF. Exposure to ETL/ELT tools or analytics platforms such as Informatica, Boomi, Talend, or similar technologies is a plus. Benefits: Competitive compensation package including base salary, vari
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