Lead Data Engineer

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter.

By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

We're looking for a Lead Data Engineer to join our Data Engineering & Architecture team. In this role, you'll help grow a Data Platform that makes it easier for teams across our company to work with data confidently and effectively. Your work will directly support our business goals not just by keeping data flowing, but by turning it into something people can actually use and trust.

This is a great opportunity for someone who enjoys both the technical craft of data engineering and the human side of it: collaborating with partners, sharing knowledge, and helping others get more out of the tools and systems you build together.

You'll design, maintain, and improve the pipelines and infrastructure that power our data platform. Day to day, that means working across the full data lifecycle — from ingestion and streaming to transformation and delivery — using tools like Apache Airflow, Spark, Iceberg, Kafka, Flink, and dbt Labs.

Beyond the technical work, you'll spend meaningful time with stakeholders to understand what they need and help define how data should flow across systems. That includes co-creating data contracts, writing clear documentation, and guiding teammates on how to get the most out of the platform.

A few other things you'll take on:

• Monitor and refine pipeline performance and refine processes to keep things running smoothly.
• Use Terraform to provision and manage resources on Google Cloud Platform (GCP).
• Help steward the platform by reviewing code and ensuring good practices and standard processes are followed.
• Process access requests and support compliance with platform policies.

• 8+ years of experience in data engineering or related roles
• Experience with Apache Airflow for orchestrating data workflows
• Experience with Spark, Flink, Kafka, and dbt Labs for data processing and transformation
• Understanding of Apache Iceberg for data table formats and data warehouse and lakehouse strategies
• Skilled in using Terraform for infrastructure-as-code deployments
• Proficient in programming languages, particularly Bash, Python, and SQL
• Knowledge of database systems, including OLAP, OLTP, Document, and Vector databases
• Experience with Google Cloud Platform (GCP) for cloud resource management
• Bonus:
  Proven experience with data security and access controls for SOX Compliant data
• Bonus:
  Experience and knowledge of the Elastic stack

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar…