Senior Solutions Architect, Enterprise
fivetran
Remote, Washington, United States, AMER
Engineering
Systems Analyst
Account Manager
Public Relations
Job Score
100 pts
On-site model (+70)
Engineering (+10)
Systems Analyst (+10)
Account Manager (+10)
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
Location: US - Remote - this candidate must be located in the Seattle, Portland, or San Francisco Bay Area to be considered.
We’re looking to hire a Solutions Architect, to join the Field Engineering team. As a Solutions Architect, you will lead the evaluation, implementation, and adoption of dbt for our largest enterprise and majors customers.
In this role, you can expect to:
- Become an expert in designing enterprise-grade data pipelines with dbt Cloud
- Work hand-in-hand with sales to communicate the technical value of the dbt Labs suite of products
- Guide customers through proof-of-concept implementations and facilitate trials of dbt Cloud
- Work with engineering to deploy dbt Cloud in private clouds for enterprise clients
- Own the full customer lifecycle from pre-sale evaluation to product adoption and expansion
- Work with product to build and maintain the dbt Cloud enterprise roadmap
- Build close relationships with our Partners (including companies like Snowflake, AWS, and Databricks) and enable them to adopt and implement dbt for their clients
- Be an active member of the dbt community
We are looking for someone who has:
- 4+ years of sales engineering, solutions architecture, or consulting in data operations, analytics, or BI
- A solid technical background, with experience in SQL, ETL, and data modeling
- A firm understanding of and ability to discuss modern data warehousing architectures
- Ability to gather and translate technical and business requirements into concrete solutions
- Excellent verbal, written, and in-person communication skills to discuss complex topics with both technical and non-technical audiences
- Ability to operate in an ambiguous and fast-paced work environment
- A passion for being an inclusive teammate and involved member of the community
Nice to haves:
- Prior experience working at an analytics, ETL, BI, and/or open-sourced software
- Knowledge of or prior experience with dbt
- Experience with Data Modeling methods such as dimensional, data vault, Kimball, 3NF
- Experience with traditional Enterprise ETL tooling (Informatica, Boomi, Talend)
What to expect in the hiring process (all video interviews unless accommodations are needed):
Interview with Talent Acquisition Partner
Interview with Hiring Manager
Team Interviews, including mock demo
Benefits at dbt Labs
- Unlimited vacation time with a culture that actively encourages time off
- 401k plan with 3% guaranteed company contribution
- Comprehensive healthcare coverage
- Generous paid parental leave
- Health & wellness stipend
- Flexible stipends for:
- Home office setup
- Learning and development
- Office space
- And more!
Compensation
We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.
- The OTE range for this role in Seattle is $219,458.75 - $274,323.75
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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Key specializations include Data Engineering, Data Science, Business Intelligence, Machine Learning Engineering, and Analytics. Tools like SQL, Python, Spark, dbt, and cloud platforms (AWS, GCP, Azure) are essential.
The data market continues with high demand and salaries among the most competitive in the technology sector, with many remote work opportunities.
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