Related skills
aws spark apis data pipelines observabilityπ Description
- Lead a hands-on engineering team of 2β4 data engineers across Paris and NYC.
- Define architecture, priorities, and roadmap for the Data Access Platform.
- Contribute to design and code; ship critical platform components.
- Partner with Applied AI, Product Analytics, PMs, and platform teams on data contracts, APIs, SLAs, and observability.
- Ensure data security, governance, lineage, monitoring, and compliance guardrails.
- Plan and scale the platform to enable broader adoption and usage.
π― Requirements
- Hands-On Engineering Manager who contributes to design and code.
- Experience with data pipelines and at-scale data engineering (ETL/ELT, streaming and/or batch).
- Practical knowledge of AWS, Spark, and Iceberg (or equivalent table formats).
- Collaborative partner to data scientists/analysts for model training and analytics.
- Operationally strong with SLAs, observability, incident response, and governance.
- Pragmatic architect who balances short-term delivery with long-term platform goals.
π Benefits
- New hire stock equity (RSUs) and ESPP.
- Continuous professional development, product training, and career pathing.
- Intradepartmental mentor and buddy program.
- Inclusive culture with Datadog Community Guilds.
- Inclusion Talks and internal panel discussions.
- Free global mental health benefits for employees and dependents age 6+.
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