Especialista de Plataforma de Dados I

New
J
JobgetherData Platform
Based in BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
Apache AirflowCloud ComputingETLApache KafkaData engineeringSparkDatabricks

Requirements

  • Proven experience leading highly complex projects involving the development or evolution of data platforms.
  • Strong technical background in Data Engineering, with hands-on experience designing and operating large-scale ETL/ELT ingestion and processing pipelines.
  • Practical experience with technologies such as Databricks, Spark, Kafka, and Mage/Airflow.
  • Strong knowledge of modern analytical architecture paradigms (lakehouse, data warehouse, streaming, batch processing).
  • Familiarity with open data formats such as Parquet, Iceberg, and Delta, and analytical data modeling patterns.
  • Ability to make and communicate sound technical decisions in ambiguous environments while aligning multiple stakeholders.
  • Experience designing observability strategies, including metrics, alerts, dashboards, and monitoring for complex systems.
  • Excellent written and verbal technical communication skills.
  • Strong understanding of cloud analytics infrastructure costs, processing optimization, and trade-offs.
  • Experience with SaaS B2B businesses is a plus.

Responsibilities

  • Act as a technical reference across multiple Data teams, promoting engineering consistency and technical excellence.
  • Lead end-to-end data architecture decisions covering lakehouse, data warehouse, streaming, and batch processing.
  • Drive the evolution of large-scale ingestion, processing, data-quality, and data-delivery pipelines.
  • Ensure the operational health of critical pipelines through observability, logging, metrics, and troubleshooting practices.
  • Evolve the Data Platform as an internal product by expanding self-service capabilities and standardizing engineering practices.
  • Identify and address structural bottlenecks involving infrastructure costs, ingestion times, and technical debt.
  • Mentor engineers and developers to encourage technical growth and knowledge sharing.
  • Serve as a technical point of contact for Product, Software Engineering, Infrastructure/SRE, Security, and Commercial teams.
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