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Fivetran

Moves business data into cloud analytics systems

Lead Full Stack Engineer

Backend EngineeringUpdated on Nov 10
Full-timeNovi Sad, SerbiaIn-person

About the Job

Requirements

  • At least 8 years of experience building and operating production software, with technical leadership on large, cross-team projects.
  • Deep experience designing distributed systems and backend services, especially correctness, idempotency, and data integrity.
  • Hands-on experience with event-driven architectures and high-volume streaming or messaging systems such as Kafka.
  • Strong knowledge of relational databases and data modeling, plus experience with cloud data warehouses such as Snowflake.
  • Ability to design, build, and consume APIs and integrate with third-party systems.
  • Production experience with at least one major cloud provider, preferably AWS, as well as containers and orchestration such as Docker and Kubernetes, and infrastructure as code such as Terraform.
  • Operational experience with observability tools such as Datadog, SLOs, on-call, incident management, and leading migrations without downtime.
  • Ability to identify design flaws in existing systems and lead incremental improvements while continuing to deliver.
  • Ability to write clear design documents, align stakeholders with different priorities, and explain technical trade-offs to non-technical partners.
  • Fluency using AI coding assistants and agents to build features, fix bugs, test, and investigate, and conversational AI to research, write, and review SDLC artifacts such as TDDs, PRDs, postmortems, test plans, and proposals.

Responsibilities

  • Own technical direction for Cloud Signals systems by setting architecture, writing and socializing design documents, and turning ambiguous business goals into clear, staged technical plans.
  • Lead design and delivery of the Fivetran and dbt billing integration, including data models, usage pipelines, reconciliation, and migration strategy, to ensure customers are billed correctly and on time.
  • Evolve Vortex into a reliable, cost-efficient, scalable event platform by onboarding event types, reducing operational dependencies and cost, and ensuring data lands correctly and observably in the warehouse.
  • Develop the Notification System into a dependable shared service that other teams can adopt easily.
  • Work with Product, Finance, RevOps, Data, and partner engineering teams across both companies, filling gaps in specifications and prototyping ideas before committing to a direction.
  • Improve operational excellence by defining SLOs, improving alerting and runbooks, participating in on-call, and leading incident response and blameless postmortems for business-critical systems.
  • Mentor engineers, provide code and design reviews, and set engineering-practice examples, including responsible use of AI tools in the SDLC.
  • Partner across teams, departments, and time zones with engineering leadership on roadmap, staffing, and build-versus-buy decisions.

Desired Qualifications

  • Experience with billing, metering, or usage-based pricing systems such as Metronome, Stripe, or in-house rating and invoicing.
  • Experience building telemetry or analytics pipelines, including tools or architectures such as Snowplow, Iceberg, or lakehouse architectures.
  • Experience building notification or messaging platforms such as email, in-app notifications, or webhooks at scale.
  • Experience with data processing such as ETL/ELT, dbt, or other modern data stack tools.
  • Experience leading platform consolidation or system integration after a merger or acquisition.

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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