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Fivetran

Moves business data into cloud analytics systems

Customer Solutions Architect

Implementation & Technical Account ManagementUpdated on Nov 10
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 2 years of experience in a post-sales, customer-facing technical role such as Solution Architect, Technical Account Manager, or Customer Success Engineer.
  • Ability to own and drive customer outcomes after the sale, including adoption, renewal, and expansion.
  • Technical background that includes designing scalable data architectures, understanding modern data warehousing and the analytics stack, and proficiency in SQL.
  • Ability to translate business objectives into technical solutions and measurable outcomes.
  • Ability to manage stakeholders across technical and non-technical audiences and present to diverse audiences.
  • A proactive, self-sufficient, and highly organized approach to managing multiple accounts.
  • Ability to operate strategically while engaging in deep technical discussions.
  • Ability to operate in an ambiguous, fast-paced environment and think on one's feet in customer conversations.
  • Openness to travel to events as needed.

Responsibilities

  • Own post-sales technical engagement across a portfolio of assigned Commercial and Enterprise accounts.
  • Drive platform adoption, optimization, and ongoing usage, moving customers from initial deployment to sustained, scalable success.
  • Educate customers on new products and features and on existing capabilities they may not be using.
  • Deliver enablement sessions, workshops, and best-practice guidance.
  • Monitor account health signals, including usage, performance, and support trends, and proactively address churn or contraction risks through implementation reviews and healthcheck sessions.
  • Identify, validate, and execute expansion opportunities across business units, regions, and use cases, including opportunities to bring both Fivetran and dbt into an account.
  • Translate customer initiatives into scalable data workloads and technical solutions.
  • Partner with account teams to drive incremental annual recurring revenue through expansion plays.
  • Replicate successful use cases across the organization to accelerate growth.
  • Provide strategic input on the customer lifecycle and renewals process.
  • Define and maintain Enterprise Reference Architectures aligned to customer environments, ensuring architectural consistency and scalability across implementations.
  • Guide customers on best practices for data pipelines, transformation, automation, and platform adoption.
  • Maintain technical artifacts such as architecture documentation, design patterns, and knowledge bases.
  • Build and maintain relationships with technical, operational, and executive stakeholders using stakeholder maps and multi-threaded engagement strategies.
  • Run regular technical cadence calls, business reviews, and roadmap sessions.
  • Contribute to Mutual Account Plans and own Mutual Success Plans, mapping whitespace opportunities across business units, subsidiaries, and use cases.
  • Align customer technical strategy with business objectives and commercial plans.
  • Orchestrate technical collaboration across Sales, Professional Services, Product, and Engineering, keeping delivery teams aligned with long-term expansion strategy.
  • Advocate for customer needs internally and influence the product roadmap and priorities.
  • Collaborate with technology partners, including Snowflake, Databricks, AWS, and GCP, to drive joint value.
  • Improve team processes, refine assets, and enable teammates through knowledge sharing.
  • Contribute to and deliver external-facing content through live events, speaking engagements, blog posts, recorded tutorials, or other educational resources.
  • Work with Regional and Product Marketing teams to support field and industry events.
  • Support senior leadership in aligning field and industry requirements with the product roadmap, collaborating with Product and Product Marketing under their guidance.

Desired Qualifications

  • Hands-on experience with dbt and/or Fivetran; dbt certification is a bonus.
  • SQL knowledge and a working understanding of AI architecture, including large language models, Knowledge Graphs, and retrieval-augmented generation.
  • Experience with cloud data platforms such as Snowflake, Databricks, AWS, Azure, and GCP.
  • Background in data integration, ETL/ELT, or replication technologies, plus experience with ancillary tools, APIs, and managing data infrastructure.
  • Experience with workload-based or consumption-based sales models.
  • Familiarity with enterprise architecture frameworks and design patterns.
  • Experience working with system integrators or technology partners.

About the Company

Fivetran

Moves business data into cloud analytics systems

Fivetran moves data from business applications and databases into cloud analytics systems so data teams can work with reliable records instead of building pipelines by hand. Its ready-made connectors handle changes in source tables and software interfaces, reducing the maintenance needed to keep information up to date. Teams also use its transformation tools to turn raw records into datasets for reporting, operations and AI applications. Fivetran charges for usage, measuring the distinct records changed each month and the data models run, with plans for different security and operational needs. Founded in 2012, Fivetran is headquartered in Oakland, California.

Company size
1,001-5,000
Company stage
Debt Financing
Total funding
$852.7M
Headquarters
Oakland, CA
Founded
2012

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