What are the responsibilities and job description for the Sr. Data Operations Engineer, Business Intelligence position at Klaviyo Inc.?
Data is at the heart of every decision made at Klaviyo, and we’re looking for a Senior Data Operations Engineer to join our Business Intelligence (BI) team. BI at Klaviyo collaborates across all departments to provide a platform that powers all internal data, analytic, and reporting needs. Our mission is to champion data-driven value creation, and you will play an essential role in creating and maintaining the data infrastructure that powers Klaviyo’s business. This role in particular will oversee the infrastructure, pipelines, and security / compliance aspect of our internal analytics platform.
Develop and maintain the “source of truth” data environment used by everyone at Klaviyo to measure the health of the business.
Develop data models that power predictive recommendations, marketing attribution, and financial forecasts to support decision-making within the organization.
Work with petabyte scale databases optimized for business analytics.
Collaborate on a regular basis with the following teams at Klaviyo : Finance, Go-To-Market, Engineering, Customer Success, Support, Product, Sales, and Marketing.
Work with a team of data engineers and analysts to build a world-class, self-service data environment that everyone at the company can use.
Build cloud-native data infrastructure with a focus on security, scalability, and maintainability.
Who You Are :
You are a creator at heart who understands the importance of a well-designed data environment. You have a deep understanding of business problems within the company and how to create, transform, and store the data needed to solve these problems. You are a systematic thinker and enjoy finding creative technical solutions to hard problems by collaborating closely with your team. You are curious and constantly seeking the best solutions to what makes a business / operation successful and want to contribute to that success.
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.
Comfortable with massive amounts of semi-structured data.
Has knowledge of data engineering best practices (data discovery, data documentation, infrastructure development / deployment, and information security).
Experience working with docker and container orchestration services (ECS, Kubernetes).
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