Implementation Engineer, MotherDuck
Data Platform
$150-210k
Offers Equity
Data analytics platform
Open for applications
Data analytics platform
21-100 employees
Open for applications
$150-210k
Offers Equity
21-100 employees
Company mission
To radically transform the data analyst user experience.
Role
Who you are
- 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
What the job involves
- We are seeking a highly capable Solutions Data Architect to join MotherDuck and guide 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the agency to drive engagements forward, the thoughtfulness to simplify complex decisions, the unorthodoxy to challenge outdated patterns, and the flexibility to adapt to customers' realities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
- 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
Our take
In the increasingly complex landscape of data analytics, the challenges faced in managing and extracting meaningful insights from large datasets are on the rise. Conventional approaches, often involving distributed architectures and petabyte-scale data solutions, can be cumbersome, expensive, and less user-friendly for the majority of users who do not operate at such a large scale.
MotherDuck, recognizing this issue, has emerged as a solution provider with its serverless, user-friendly data analytics platform. Leveraging the power of the open-source database DuckDB, MotherDuck aims to simplify the scale-up approach to SQL analytics, offering a faster, more cost-effective alternative for the 95% of analysts who do not require petabyte-scale data solutions.
Having secured funding in 2023, the company is now well-positioned to further enhance its platform and expand its user base. As MotherDuck continues to collaborate closely with the DuckDB team and integrate user feedback for enhancements, the company is also poised to play a pivotal role in the evolution of serverless data analytics.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2023
$52.5m
SERIES B
Nov 2022
$35m
SERIES A
Total funding: $100m
Company benefits
- Unlimited Paid Time Off
- 401k plan
- Regular offsites in hub or exotic locations
- 100% paid medical, dental, and vision for employees (plus 80% paid medical, dental, and vision for dependents)
Company HQ
Central Business District, Seattle, WA
Leadership
Jordan Tigani
(Co-Founder & CEO)Previously the CPO at SingleStore. Prior to that, they were a Product Leader, Engineering Leader, and Founding Engineer on Google BigQuery.
Ryan Boyd
(Co-Founder)Currently a Partner at HyperGrowth as well as an Advisor at SparrowLabs. With a background in Coding, Leadership, and Management working at Google, Flux, and Databricks.
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