Staff Data Engineer – Data Modeling

Cloudinary
Israel
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 7+ yearsSkills: ["SQL","Python","Airflow","Data modeling","Data pipelines"]

Lead end-to-end data modeling initiatives for a data-intensive organization. Design bronze-to-gold datasets, build SQL-heavy pipelines, and own data correctness for key metrics. Collaborate with product, analysts, and BI teams, optimize queries for performance and cost, and develop AI-enabled data analysis tools to accelerate insights.

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FursaFursa
Cloudinary
Cloudinary
2 months ago

Staff Data Engineer – Data Modeling

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Lead end-to-end data modeling initiatives for a data-intensive organization. Design bronze-to-gold datasets, build SQL-heavy pipelines, and own data correctness for key metrics. Collaborate with product, analysts, and BI teams, optimize queries for performance and cost, and develop AI-enabled data analysis tools to accelerate insights.
Location: Israel
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Sr. Manager level

Key Responsibilities

  • •Translate business and product requirements into scalable data models, transformations, and pipelines.
  • •Design and own datasets across bronze, silver, and gold layers, including grain, aggregations, and data contracts.
  • •Develop and maintain SQL-heavy data pipelines and Airflow DAGs (workflow logic, dependencies, backfills, Python, and SQL).
  • •Own data correctness for key business metrics (e.g., ARR), including root-cause analysis and resolution of data issues.
  • •Define and drive best practices for SQL, data modeling, and pipeline design across the team.

Key Requirements

  • •7+ years of experience as a Data Engineer or Architect or in a similar data-focused role with ownership of end-to-end data solutions.
  • •Strong expertise in writing and optimizing complex SQL queries (advanced joins, aggregations, performance tuning).
  • •Proven experience building and maintaining Airflow DAGs (or similar orchestration tools) with a focus on workflow logic and SQL rather than infrastructure.
  • •Deep understanding of data modeling principles, including designing datasets at the correct grain and preventing data inconsistencies; use of the medallion model.
  • •Proficient in Python for orchestration and data workflows; comfortable reading and reasoning about JSON, schemas, and input data formats
Experience:7+ yearsData engineeringData modelingCloud data platformsSQLAirflow
Skills:SQLPythonAirflowData modelingData pipelines
Languages:English
Tech Stack:SQLPythonAirflowSnowflakeBigQueryDatabricksAWSIcebergSpark

Company Brief

Cloudinary
Provides a cloud-based image and video management platform with APIs and tools for uploading, storing, transforming, optimizing and delivering rich media at scale for developers, marketers, and digital teams.
Industry: Developer Tools
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Santa Clara, United States
Founded: 2012
WebsiteLinkedIn