[Hiring] Lead Data Engineer @Elastic

Role Description

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.

What You Will Be Doing

• Design, maintain, and improve the pipelines and infrastructure that power our data platform.
• Work 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.
• Spend meaningful time with stakeholders to understand their needs and help define how data should flow across systems.
• Co-create data contracts, write clear documentation, and guide teammates on how to get the most out of the platform.
• 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.

Qualifications

• 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.

Requirements

• Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
• The typical starting salary range for new hires in this role is $113,100 — $178,900 USD.
• The typical starting salary range for this role in select locations is $135,900 — $215,100 USD.
• Factors influencing salary include relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
• Eligible to participate in Elastic's stock program.
• Company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings.

Benefits

• 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 with flexible locations and schedules for many roles.
• Generous number of vacation days each year.
• We match up to $2000 (or local currency equivalent) for financial donations and service.
• Up to 40 hours each year to use toward volunteer projects you love.
• Minimum of 16 weeks of parental leave.