Manager – Business Intelligence Data Infrastructure

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.

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.

Experience managing large-scale data infrastructure teams, with proven ability to scale teams effectively.
Experience building the backend layer of data-intensive products.
Familiarity with multi-petabyte data models and TB-scale ingestion workflows.
Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
Passion for learning new technologies and staying current with industry trends.
History of running POCs on emerging technologies and driving adoption where applicable.
Demonstrated ability to proactively mentor team members and foster professional growth.
Deep understanding of the software development lifecycle in an agile environment.