Senior Data Engineer (Data Architecture & Governance)

Cherry Bekaert · Remote, India

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