Manager, Business Intelligence Data Infrastructure

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

Data is at the heart of every decision made at Klaviyo, and we’re looking for an Engineering Manager, Data Engineering to lead our Business Intelligence (BI) infrastructure 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 own creating and maintaining the internal data infrastructure that powers Klaviyo’s business. This role in particular will oversee the infrastructure, pipelines, and security/compliance aspects of our internal analytics platform while driving architectural innovation and fostering team growth.

 Technologies We Use (Not Exhaustive):

• Amazon Web Services (EC2, EMR, S3, Lambda, Athena, DynamoDB, CodeBuild, etc.)
• Infrastructure such as Terraform, Kubernetes, Docker
• Compute engines like Snowflake, Spark, Trino, and Clickhouse built on top of cloud storage (Iceberg/Parquet)
• Orchestration tools (Airflow, dbt, etc.)
• Streaming platforms (Kafka) and ETLs Fivetran, and Airbyte

How You Will Make a Difference:

• Lead, mentor, and grow a high-performing team of data engineers, setting clear objectives, providing regular feedback, and fostering career development.
• Contribute to the development of long-term data strategies and roadmaps, influencing the technical direction of data engineering practices within the organization.
• Ensure the reliability, scalability, and performance of our “source of truth” data environment used by everyone at Klaviyo to measure the health of the business.
• Architect and productionize batch and real-time data systems to support various product and business needs.
• Build ETLs that can ingest multiple terabytes of data per day and support multi-petabyte data models.
• Ensure the quality, performance, and stability of data systems through robust quality systems and monitoring practices.
• Collaborate with cross-functional teams, including Platform Engineering, Security, Product, Finance, Go-To-Market, Customer Success, Support, Sales, and Marketing.
• Build data governance solutions into every part of the platform, ensuring compliance and security standards.
• Mentor and coach team members, providing guidance and support to enhance their skills and performance.

Who You Are:

You are a thoughtful engineering leader who understands the critical role a well-designed data infrastructure plays in organizational success. You possess strong technical judgment, strategic thinking capabilities, and the ability to manage complex projects through your team. You value collaboration, foster an environment of continuous learning, and actively support your team's growth and development. You are curious, constantly seeking the best solutions, and passionate about contributing to the success of a data-driven organization.

Required Skills and Experience:

• Proven experience leading and managing teams, with a track record of developing talent and delivering impactful results.
• Strong technical foundation in cloud infrastructure (AWS preferred), Infrastructure as Code (Terraform), and modern data engineering practices.
• At least 7 years of hands-on data engineering experience with SQL and at least 3 years using object-oriented programming languages (e.g., Python).
• Deep expertise in database architecture, including dimensional modeling, data vault, star schemas, or 3NF.
• Demonstrated experience with Big Data technologies such as Snowflake, Databricks/Spark, and Trino.
• Solid experience designing and maintaining real-time data pipelines and managing high-volume semi-structured data.
• Knowledge of data engineering best practices, including data discovery, documentation, security, and compliance.
• Experience working with Docker and container orchestration (ECS, Kubernetes).
• Experience building data products with a security first mindset.

Desired Skills:

• Experience managing large-scale data infrastructure teams, with proven ability to scale teams effectively.
• Experience building the