Senior Solutions Architect, Enterprise

This is a fully remote position, open to applicants in Texas.

📋 Description

• Spearhead technical discovery initiatives with enterprise clients, aligning technical needs with business objectives and measurable success indicators.

• Craft enterprise-level data transformation and analytics frameworks utilizing dbt.

• Collaborate with the Sales team to articulate the technical and business advantages of the dbt platform.

• Oversee customer assessments and technical validations, which may include trials and proof-of-value sessions as needed.

• Foster strong relationships with technical practitioners, data leaders, and executive stakeholders.

• Guide clients through considerations regarding technical architecture, security, governance, and deployment.

• Facilitate the successful adoption of solutions by customers and identify potential for growth throughout the customer lifecycle.

• Convey insights from customers and the field to Product and Engineering to shape product strategy and roadmap.

• Cultivate partnerships with technology and consulting firms, including Snowflake, Databricks, AWS, and other members of the modern data ecosystem.

• Provide technical knowledge, reusable best practices, and thought leadership to the Field Engineering team and the dbt community.

⛳️ Requirements

• Minimum of 4 years’ experience in sales engineering, solutions architecture, consulting, or a similar customer-facing technical position in data, analytics, or BI.

• Solid technical background in SQL, data transformation, ETL/ELT processes, and data modeling.

• Comprehensive understanding of contemporary cloud data warehouses, lakehouses, and analytics architectures.

• Capability to identify and convert technical and business requirements into actionable solutions and measurable results.

• Exceptional written and verbal communication abilities, with the skill to articulate complex technical concepts to both technical and non-technical audiences.

• Proficiency in establishing credibility and fostering trusted relationships with stakeholders, from data practitioners to senior executives.

• Ability to thrive in a fast-paced, dynamic environment while collaborating effectively across Sales, Product, Engineering, and Customer teams.

• Familiarity with dbt or analytics engineering.

• Experience with Snowflake, Databricks, BigQuery, or other advanced cloud data platforms.

• Knowledge of data modeling methodologies such as dimensional modeling, Kimball, Data Vault, or 3NF.

• Experience with enterprise data integration or ETL platforms like Informatica, Boomi, or Talend.

• Proven track record supporting complex enterprise technical evaluations, migrations, or transformation projects.

🏝️ Benefits

• 100% employer-covered medical insurance.

• Generous paid time off, including vacation or flexible/unlimited vacation depending on the role and location, paid sick leave, inclusive parental leave, paid holidays, a year-end Global Week of Rest, and volunteer days off.

• RSU stock grants.

• Opportunities for professional development and training.

• Company-hosted virtual happy hours, complimentary meals, and enjoyable team-building events.

• Monthly stipend for cell phone expenses.

• Access to an innovative mental health support platform providing therapy, coaching, and self-guided mindfulness exercises for covered employees and their dependents.