Lead Data Platform Engineer: AWS & Real‑Time Analytics

Alo

Beverly Hills (CA)

In loco

USD 180.000 - 220.000

Tempo pieno

4 giorni fa
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Descrizione del lavoro

Alo is seeking a Lead Data Engineer to architect, build, and evolve a foundational data platform powering analytics, real-time decisioning, and operational intelligence. This role demands an experienced builder who has designed production-grade data systems end to end and can drive reusable, reliable, scalable data solutions across batch and real-time streams.

You will define the technical backbone for data ingestion, processing, and action across marketing automation, inventory intelligence,

Competenze

  • 6-8+ years in data engineering or platform engineering.
  • Experience with large-scale data platforms, particularly in retail/e‑commerce.
  • Strong experience with event-driven and streaming architectures, batch and real-time pipelines.
  • Proficiency in dbt, SQL, Python; familiarity with CI/CD and infrastructure-as-code.
  • Experience architecting end-to-end data platforms on AWS and with modern warehouses.
  • Ability to design semantic layers, KPI standardization, and data governance.

Mansioni

  • Architect and own the end-to-end data platform, primarily on AWS.
  • Design and scale event-driven architectures using Kinesis, Kafka, or similar.
  • Build and evolve Medallion architecture (Bronze/Silver/Gold).
  • Develop ELT pipelines using dbt and modern warehouses (Redshift, BigQuery, Snowflake).
  • Design systems for inventory intelligence and allocation optimization.
  • Build pipelines for order lifecycle and SLA insights.
  • Establish standards for data modeling, testing, CI/CD, and observability.
  • Enable analytics via Tableau and ThoughtSpot.
  • Partner with cross-functional teams across business domains.
  • Act as technical leader and mentor across engineering teams.

Descrizione del lavoro

Alo is seeking a Lead Data Engineer to architect, build, and evolve a foundational data platform powering analytics, real-time decisioning, and operational intelligence. This role demands an experienced builder who has designed production-grade data systems end to end and can drive reusable, reliable, scalable data solutions across batch and real-time streams.

You will define the technical backbone for data ingestion, processing, and action across marketing automation, inventory intelligence,

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