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Senior Data Engineer; Data Architecture & Governance

Job in 400001, Mumbai, Maharashtra, India
Listing for: Cherry Bekaert
Full Time position
Listed on 2026-08-30
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Job Description & How to Apply Below
Position: Senior Data Engineer (Data Architecture & Governance)
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 Power Shell.
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 Fin Ops 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 Power Shell.
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 Fin Ops 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
Position Requirements
10+ Years work experience
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