Posted Apr 30, 2026
We are seeking a highly capable Implementation Solutions Engineer to lead and guide MotherDuck customers through their most important data warehouse initiatives. This is an opportunity to be an early member of the Technical Engagement function and shape how customers adopt, scale, and succeed with MotherDuck. The ideal candidate brings depth in database architecture, data modeling, and data integration, paired with the agency to drive engagements forward, the thoughtfulness to simplify complex decisions, the unorthodoxy to challenge outdated patterns, and the flexibility to adapt to customers' realities. You will design architectures that make good data work feel easy, remove blockers with clarity, and help customers reach production with confidence
This role can be based in our Seattle, San Francisco or New York offices. Key Responsibilities:
Architecture Design and Scoping: Design and scope end-to-end architectures with a thoughtful approach to trade-offs. Define success metrics and craft pragmatic, flexible implementation roadmaps. - Technical Leadership with Customers: Lead technical discussions with customer data and engineering teams. Apply unorthodox thinking when standard approaches fall short, and help teams rethink assumptions around warehouse design, schema decisions, and optimization strategies. - Customer Success Ownership: Exercise agency by owning the customer journey from proof of concept to production. Anticipate risks, drive alignment, and allocate internal resources to keep momentum. - Diagnose technical blockers with precision and thoughtfulness. Navigate ambiguity with flexibility, and escalate nuanced architectural questions to MotherDuck engineering when needed. - Advise customers on ETL and ELT patterns, modeling choices, and integration practices. Use creativity and unorthodox perspectives to simplify complex data flows. - Collaborate with Sales, Customer Engineering, and Support to deliver cohesive, high-quality customer experiences. Demonstrate flexibility as customer needs evolve across the engagement lifecycle. - Create reusable artifacts, best practices, and reference architectures that reflect MotherDuck’s values of simplicity, clarity, and unorthodox efficiency. - Communicate complex technical concepts with clarity, empathy, and thoughtfulness for both technical and non-technical audiences. # What you bring
5+ years designing, building, or implementing modern data warehouses such as Snowflake, BigQuery, Redshift, or Databricks
Mastery of SQL and data modeling, with the judgment to select the simplest viable approach
Experience translating business requirements into architectural decisions that balance flexibility with long-term scalability
Background in a customer-facing or solutions-oriented role such as solutions engineer or consulting data architect
Evidence of agency in past roles. You proactively drive structure, unblock teams, and make progress without waiting for direction
A thoughtful approach to ambiguity, bringing order where needed and staying flexible where it matters
Willingness to challenge conventional approaches when they don't serve the customer or the mission
Nice to have: experience with DuckDB or MotherDuck; familiarity with Fivetran, dbt, or Airflow; experience in consulting or professional services
Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified? Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
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