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Engineering Manager, Data Transformation

US💼 Full-time🗓 2026-05-20 → 2026-09-26

Core

Lead a team of engineers building and operating batch and real-time transformation pipelines and platforms for 400+ product teams to produce high-quality datasets for critical analytics, dashboards, and workflows.

Role type

Engineering Manager, Data Transformation

Builds

Scalable, reliable data transformation pipelines and platforms (including Sigma and Radar) serving data users and AI agents.

Domain

Financial infrastructure / Data Engineering

Deliverable

production ML models | product features | infrastructure

Required skills

Team leadership, distributed system infrastructure management, data pipeline operations, cross-functional collaboration, technical architecture strategy, project execution, hiring strategy

Preferred skills

Large-scale high-availability pipeline expertise, Kafka/Flink/Spark/Airflow/Python/SQL/API design, architectural decision-making

Technologies

Spark, Airflow, Iceberg, Hive, S3, SQL, Python, Scala, GRPC, Kafka, FlinkSQL

Responsibilities

Deliver scalable infrastructure services, lead and mentor engineering teams, collaborate with stakeholders on key initiatives, prioritize work based on user needs, oversee project lifecycles, provide hands-on technical leadership, drive long-term roadmap vision, foster inclusive environment, define hiring strategies

Seniority

Manager, hands-on technical leadership

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