Senior Data Engineer (Data Architecture & Governance)

Cherry Bekaert; India; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Cherry Bekaert in India seeks an experienced Senior Data Engineer to design and govern enterprise-scale cloud data platforms, leveraging Databricks, Snowflake, or Microsoft Fabric. You will define data architecture, modeling, and semantic layers, and lead data integration initiatives.

You will provide technical leadership, mentor engineering teams, implement Data Governance, Data Quality, Data Catalog, and Data Stewardship, and optimize cloud costs through FinOps.

Qualifications

• 12+ years of experience in Data Engineering or Data Architecture.
• Hands-on with Databricks, Snowflake, and/or Microsoft Fabric.
• Strong data modeling and semantic layer design.
• Deep knowledge of data integration patterns.
• Proficiency in Python, C#, and PowerShell.
• Experience implementing data governance, data quality, and data catalog frameworks.
• MDM knowledge and data classification.
• Experience leading technical teams and engaging with stakeholders.
• Knowledge of cloud cost optimization (FinOps).

Responsibilities

• Design and implement cloud data platforms at scale.
• Define enterprise data architecture and semantic layers.
• Lead data integration patterns including APIs.
• Develop data pipelines using Python, C#, and PowerShell.
• Establish Data Governance, Data Quality, and Data Catalog.
• Drive Master Data Management (MDM) initiatives and data classification.
• Provide technical leadership and mentorship.
• Optimize cloud costs following FinOps practices.
• Ensure data security, reliability, and compliance.
• Collaborate with stakeholders to translate requirements into solutions.

Skills

Data architecture

Data modeling

Cloud data platforms

Python

C#

PowerShell

Data governance

MDM

APIs & integrations

Leadership

FinOps

Tools

Databricks

Snowflake

Microsoft Fabric

Azure

Job description

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