Engineering Manager, Data Platform

Job details

Work model

Hybrid

Salary

Not listed by source

Location

San Jose, California

Company website

www.floqast.com

Hiring context

How this role compares at FloQast

FloQast has 29 live roles in MeritLog’s catalog across 7 job families, and 4 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

As Engineering Manager for the Data Platform team, you'll lead a team of engineers building and operating the infrastructure that powers data ingestion, governance, storage, processing, and access across FloQast's product and analytics systems. This is a deeply technical role - roughly half your time is writing code, designing systems, and making architecture calls alongside your team. The other half is growing the people doing that work: hiring, developing, unblocking, and setting direction. You've spent years in data infrastructure and you still love the work. You can reason through a Spark shuffle problem, pick apart a slow Iceberg compaction job, and make a principled call between PySpark and Scala Spark on a real workload. You've run Structured Streaming pipelines, operated Kafka at scale, and debugged the Spark UI until the stage times made sense. But you've also learned that technical impact compounds through people - that the systems you architect matter less than the engineers you develop. You've managed before, or you've been the informal lead that everyone went to, and you're ready to own it fully. At FloQast, you'll apply that combination across our full lakehouse stack. FloLake runs on Iceberg over S3, orchestrated through MWAA, cataloged in AWS Glue, and queried via Trino and Athena. Kafka on MSK moves data through the hot path. The platform serves 30,000+ tenants. You'll hold technical authority on data compute and architecture decisions while building the team that executes them - and you'll do both at the same time, not in phases.

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