Data Infrastructure Engineer
3 days ago
At Klaviyo, we believe that first-party data is the key to unlocking business success. We're seeking a talented Data Infrastructure Engineer to join our Business Intelligence team. This role will oversee the development and maintenance of our internal analytics platform, ensuring that it's secure, scalable, and efficient.
About the RoleThe ideal candidate will have a deep understanding of cloud technologies, particularly AWS. Experience with Terraform, Kubernetes, and Docker is also essential. You'll work closely with cross-functional teams to design and implement data pipelines, ensure data quality, and maintain the integrity of our data environment.
Key Responsibilities- Design and develop data models that power predictive recommendations, marketing attribution, and financial forecasts
- Collaborate with the Finance, Go-To-Market, Engineering, Customer Success, Support, Product, Sales, and Marketing teams to ensure data-driven decision-making
- Work with petabyte-scale databases optimized for business analytics
To succeed in this role, you'll need:
- A strong understanding of cloud technologies (AWS preferred)
- Experience with Infrastructure as Code (IaC) tooling such as Terraform
- 3+ years of data development experience in SQL and 3+ years of experience in object-oriented programming languages (i.e. Python)
- Experience in database design, 3NF, dimensional modeling, data vault, or star schema
- Experience with Big Data technologies (Snowflake, Databricks/Spark, Trino)
- Experience ingesting data from REST APIs to a data warehouse or data lake
- Experience with automated testing, test-driven development, and CI/CD pipelines
We estimate the salary for this role to be around $140,000 per year, based on industry standards and the location.
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