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Data Engineering Manager (ID:3417)

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Job Description - Data Engineering Manager (ID:3417)

As a Data Engineering Manager , you will:
  • Work closely with Product Owners, Engineering teams, and Architecture communities to ensure data solutions align with business requirements and strategic objectives.
  • Triage new data and analytics requirements, assess architectural and modelling impacts, and provide delivery estimates.
  • Oversee the development and enhancement of business and physical data models, ensuring consistency and alignment across delivery teams.
  • Act as the custodian of data models, owning modelling standards, principles, and governance.
  • Define and enforce data architecture and modelling best practices, including 3NF, Dimensional, and Data Vault methodologies.
  • Design and guide end -to -end data warehousing and analytics architectures.
  • Ensure data solutions align with the target -state architecture, supported by clear documentation and centralized model management.
  • Drive adoption of modern data design practices, incorporating industry advancements such as machine learning and scalable analytical techniques.
  • Influence and guide Engineering and Product Management stakeholders on architectural decisions and priorities.
What You Bring to the Table:
  • 10+ years of experience in data engineering leadership, data architecture, or data modelling roles.
  • Strong background in program management within data and analytics initiatives.
  • Deep expertise in data architecture, data warehousing, and analytic end -to -end design.
  • Strong experience working with large, complex data environments.
  • Proficiency with Snowflake and modern cloud data platforms.
  • Solid understanding of Data Vault architecture and scalable analytics patterns.
  • Awareness of modern data trends, including machine learning and algorithmic techniques at scale.
You Should Possess the Ability to:
  • Balance strategic architectural vision with delivery -focused execution.
  • Evaluate changing requirements and guide teams toward optimal design decisions.
  • Foster collaboration across engineering, product, and architecture communities.
  • Drive continuous improvement in data design, quality, and scalability.
  • Translate business needs into structured data solutions that enable analytics and insights.
What We Bring to the Table:
  • Opportunity to lead large -scale, high -impact data programs.
  • Exposure to modern data platforms and advanced modelling techniques.
  • A collaborative environment that values architectural excellence and governance.
  • The ability to influence enterprise data strategy and long -term architecture.
  • A role combining technical leadership, program management, and strategic decision -making.
Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Hema Murali
Phone: +31 20 369 0609 ; Extn :132

Original job Data Engineering Manager (ID:3417) posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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