Manager I, Engineering - Core Analytics
Leads small team of data engineers building scalable Core Analytics Data Access Platform. Owns technical direction, codes hands-on, ensures security/governance, and partners with AI/analytics teams. Requires data engineering and AWS/Spark experience.
About the job
What You’ll Do
- Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers across Paris and NYC.
- Own Technical Direction and Delivery: Define architecture, engineering priorities, and roadmap for scalable, secure data pipelines and platform services.
- Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components.
- Partner with Internal Stakeholders: Work with Applied AI, Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, and datasets.
- Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails.
- Plan and Scale the Platform: Evolve storage, processing, APIs, and practices for broader adoption.
Who You Are
- Hands-on engineering manager who remains an active contributor.
- Experienced in data pipelines and at-scale data engineering (ETL/ELT, streaming/batch workflows).
- Practical knowledge of AWS, Spark, Iceberg (or equivalents).
- Collaborative partner to data scientists and analysts.
- Operationally strong with SLAs, observability, incident response, data governance.
- Pragmatic architect balancing short-term delivery and long-term goals.
Skills
AWS, Spark, Iceberg, ETL, ELT, Data Pipelines, Streaming, Batch Processing, Data Engineering, Observability, Data Governance
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