AI agents that automate reconciliations, close workflows, and journal entries — fully auditable, human-approved every step. Trusted by 3,500+ teams worldwide. Backed by Insight, Norwest and ICONIQ.
About the role
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.
What they're looking for
- Write production code and lead architectural design on the data platform — pipelines, storage layers, access APIs, and observability infrastructure
- Own technical decisions on Spark job structure, Iceberg table management, and streaming architecture on MSK/Kafka
- Review code at a level that raises the bar, not just catches bugs — you shape how the team thinks about distributed systems
- Drive modernization and tooling choices (Snowflake, dbt, Airflow, Trino, and what comes next) with a bias toward operational simplicity and long-term maintainability
- Contribute to data governance: quality frameworks, lineage, access control, and compliance (GDPR, SOC2)
- Work shoulder-to-shoulder with engineers on the hardest problems — you're in the design docs, the code reviews, and the incident calls, not observing from the side
More about this role
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...
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