Senior Data Platform Engineer — Lakehouse & Self-Service

Aircall; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 200,000; Full time

Job summary

Aircall is seeking a senior data platform engineer to own ingestion, storage, compute, access control, observability, and the platform frameworks that power analytics teams. You’ll lead the migration to an Apache Iceberg lakehouse, manage end-to-end data ingestion with Flink, Kafka, and Snowflake-style pipelines, and build self‑service tooling for analytics engineers and data scientists.

You’ll collaborate with analytics stakeholders while driving reliability, security, and scalable, codified

Qualifications

• 4+ years in data engineering, data platform or infrastructure engineering

Responsibilities

• Build and operate the lakehouse: Apache Iceberg on S3, table design and maintenance, partitioning and compaction

Skills

Python

SQL

Cross-functional communication

AI coding tools

Reliability mindset

Data-driven

Tools

Airflow

Dagster

Prefect

Apache Spark

Apache Iceberg

S3

EKS

Kubernetes

Docker

Terraform

Fivetran

DMS

Kafka

MSK

Job description

Aircall is seeking a senior data platform engineer to own ingestion, storage, compute, access control, observability, and the platform frameworks that power analytics teams. You’ll lead the migration to an Apache Iceberg lakehouse, manage end-to-end data ingestion with Flink, Kafka, and Snowflake-style pipelines, and build self‑service tooling for analytics engineers and data scientists.

You’ll collaborate with analytics stakeholders while driving reliability, security, and scalable, codified