This role pays less than
69%
of similar roles. Most pay
$134,725–$204,287
— the shaded band above.
At the midpoint, this role pays about
$146k
versus about
$170k
for comparable roles.
Based on 240 similar postings.
Employer
About Elastic
Elastic is the company behind Elasticsearch and the Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash). It sells search, observability, and security products built on that search engine, primarily through its Elastic Cloud managed service.
Elastic currently has
50 open roles
on FindRole.
Listed pay typically runs
$147,750–$212,650
across 48 roles with salary data.
The Lead Data Engineer will join the Data Engineering & Architecture team to grow a Data Platform that enables internal teams to work with data confidently. You will design, maintain, and improve pipelines and infrastructure across the full data lifecycle, including ingestion, streaming, transformation, and delivery. Key responsibilities include collaborating with stakeholders to define data flows, co-creating data contracts, and managing resources on Google Cloud Platform. You will utilize a technical stack featuring Apache Airflow, Spark, Iceberg, Kafka, Flink, dbt Labs, and Terraform. Proficiency in Bash, Python, and SQL is required, along with knowledge of OLAP, OLTP, Document, and Vector databases. This role solves the technical challenge of turning complex data into trusted, usable assets while ensuring platform performance and compliance.