MotherDuck · 10 hours ago
Implementation Architect (Data Platform)
MotherDuck is on a mission to make data warehousing fun and frictionless for developers and data practitioners. The Implementation Architect will guide customers through data warehouse initiatives, design architectures, and lead technical discussions to ensure successful adoption and scaling of MotherDuck's solutions.
AnalyticsDatabaseMachine LearningSoftware
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
Troubleshooting and Blocker Resolution: Diagnose technical blockers with precision and thoughtfulness. Navigate ambiguity with flexibility, and escalate nuanced architectural questions to MotherDuck engineering when needed
Data Integration and Modeling Guidance: Advise customers on ETL and ELT patterns, modeling choices, and integration practices. Use creativity and unorthodox perspectives to simplify complex data flows
Cross-functional Partnership: Collaborate with Sales, Customer Engineering, and Support to deliver cohesive, high-quality customer experiences. Demonstrate flexibility as customer needs evolve across the engagement lifecycle
Program Development: Create reusable artifacts, best practices, and reference architectures that reflect MotherDuck’s values of simplicity, clarity, and unorthodox efficiency
Customer Communication: Communicate complex technical concepts with clarity, empathy, and thoughtfulness for both technical and non-technical audiences
Qualification
Required
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
Preferred
experience with DuckDB or MotherDuck
familiarity with Fivetran, dbt, or Airflow
experience in consulting or professional services
Benefits
100% paid medical, dental, and vision for employees, plus 80% coverage for dependents
Flexible PTO
401k plan
Legendary company events
Flexible work environment
Company
MotherDuck
MotherDuck provides data infrastructure and analytics for both small and big data.
H1B Sponsorship
MotherDuck has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$100MKey Investors
FelicisAndreessen HorowitzRedpoint
2023-09-20Series B· $52.5M
2022-11-15Series A· $35M
2022-11-15Seed· $12.5M
Leadership Team
Recent News
2025-06-01
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