Senior Solutions Architect, Enterprise
New
F
FivetranData analytics
This is a full-time position based remotely from Texas.Full-TimeSenior
Salary$197,512 — $260,607 USD
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Job Details
- Experience
- 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI
- Required Skills
- SQLSnowflakeData modelingBigQuerydbtDatabricks
Requirements
- Have 4+ years of experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical role within data, analytics, or BI.
- Bring a strong technical foundation in SQL, data transformation, ETL/ELT, and data modeling.
- Understand modern cloud data warehouse, lakehouse, and analytics architectures.
- Translate technical and business requirements into concrete solutions and measurable outcomes.
- Explain complex technical concepts to technical and non-technical audiences.
- Build credibility and trusted relationships with data practitioners, senior executives, and other stakeholders.
- Collaborate across Sales, Product, Engineering, and Customer teams in a fast-paced, evolving environment.
- Experience with dbt or analytics engineering is a bonus.
- Experience with Snowflake, Databricks, BigQuery, or other modern cloud data platforms is a bonus.
- Experience with dimensional modeling, Kimball, Data Vault, or 3NF is a bonus.
- Experience with Informatica, Boomi, Talend, or other enterprise data integration or ETL platforms is a bonus.
- Experience supporting complex enterprise technical evaluations, migrations, or transformation initiatives is a bonus.
Responsibilities
- Lead technical discovery with enterprise customers, connecting technical requirements to business outcomes and measurable success criteria.
- Design enterprise-grade data transformation and analytics architectures using dbt.
- Partner with Sales to communicate the technical and business value of the dbt platform.
- Lead customer evaluations and technical validation, including trials and proof-of-value engagements when appropriate.
- Build trusted relationships with technical practitioners, data leaders, and executive stakeholders.
- Guide customers through technical architecture, security, governance, and deployment considerations.
- Support successful adoption across the customer lifecycle and identify opportunities for expansion.
- Bring customer and field insights to Product and Engineering to help influence product strategy and roadmap.
- Build relationships with technology and consulting partners, including Snowflake, Databricks, and AWS.
- Contribute technical expertise, reusable best practices, and thought leadership to Field Engineering and the dbt community.
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