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Senior Data Engineer (Data Architecture & Governance)

12-14 Years
  • Posted 9 hours ago
  • Be among the first 10 applicants

Job Description

About the Role

We are seeking an experienced Senior Data Engineer with strong data architecture expertise to design, build, and govern enterprise-scale cloud data platforms. This role requires deep experience in modern data technologies, data modeling, integration architecture, governance frameworks, and leading cross-functional teams to deliver scalable data solutions.

Role & responsibilities

  • Design and implement modern cloud-based data platforms using Databricks, Snowflake, or Microsoft Fabric.
  • Define and maintain enterprise data architecture, dimensional models, and semantic layers.
  • Lead the design of scalable data integration solutions, including API-based integrations.
  • Develop and automate data engineering processes using Python, C#, and PowerShell.
  • Establish and enforce Data Governance, Data Quality, Data Catalog, and Data Stewardship practices.
  • Drive Master Data Management (MDM) initiatives and data classification standards.
  • Collaborate with business stakeholders to translate requirements into scalable data solutions.
  • Provide technical leadership, mentoring, and guidance to engineering teams.
  • Implement FinOps best practices to optimize cloud platform costs and resource utilization.
  • Ensure data security, compliance, reliability, and operational excellence across data ecosystems

Required Skills & Experience

Must Have

  • 12+ years of experience in Data Engineering, Data Architecture, or related roles.
  • Hands-on expertise with Databricks, Snowflake, and/or Microsoft Fabric.
  • Strong experience in dimensional data modeling and semantic layer design.
  • Deep understanding of data integration patterns and API-based integrations.
  • Proficiency in Python, C#, and PowerShell.
  • Experience implementing Data Governance, Data Quality, Data Catalog, and Data Stewardship frameworks.
  • Strong knowledge of Master Data Management (MDM) and data classification.
  • Experience leading technical teams and working directly with business stakeholders.
  • Knowledge of cloud cost optimization and FinOps principles.

Preferred candidate profile

  • Experience with Azure cloud ecosystem.
  • Familiarity with enterprise-scale analytics and reporting solutions.
  • Certifications in Databricks, Snowflake, Azure, or Microsoft Fabric

More Info

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About Company

Job ID: 151871585

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