Head of Network Data Platform & Graph Engineering

Darwoft

Quilmes

Remote

ARS 4.000.000 - 8.000.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

JPMorgan Chase in Buenos Aires seeks an Executive Director, Data Engineering to lead a 25-person network data team and drive a foundational data platform. You will own sourcing, modelling, and serving data, while aligning governance and regional strategy with global priorities.

The role partners with automation, SRE, and Product Engineering to ensure data quality, AI-readiness, and scalable pipelines across the organization. Strong leadership and regional impact are essential.

Qualifikationen

  • 10+ years in data engineering or data platform engineering, including leadership roles.
  • Production data platform ownership: pipelines, modelling, storage, serving with freshness and availability.
  • Data governance exposure: ownership models, contracts, quality measurement, lineage, schema evolution.

Aufgaben

  • Define and execute the network data strategy, including data modelling and authoritative sources.
  • Build and operate the data platform with ingestion, streaming, storage, modelling, and serving APIs.
  • Establish consistent data models and identity standards for network entities.
  • Drive data quality through validation, testing, monitoring, and QA targets.
  • Establish data contracts and SLOs for data freshness and availability.

Kenntnisse

Data engineering leadership
Production data platform
Data governance
Python
SQL
APIs
Streaming pipelines
AI readiness

Ausbildung

BS/BA degree in technology or related field

Tools

Python
SQL
APIs
Cloud platforms
CI/CD

Jobbeschreibung

JPMorgan Chase in Buenos Aires seeks an Executive Director, Data Engineering to lead a 25-person network data team and drive a foundational data platform. You will own sourcing, modelling, and serving data, while aligning governance and regional strategy with global priorities.

The role partners with automation, SRE, and Product Engineering to ensure data quality, AI-readiness, and scalable pipelines across the organization. Strong leadership and regional impact are essential.

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