Senior Data Engineer (Tech Lead)

Cherry Bekaert; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Cherry Bekaert is seeking an experienced Senior Data Engineer to design, build, and govern enterprise-scale cloud data platforms. You will lead data architecture, data modeling, and integration strategies, partnering with cross‑functional teams to deliver scalable data solutions.

You will implement modern tools such as Databricks, Snowflake, and Microsoft Fabric, develop data pipelines with Python, C#, and PowerShell, and drive data governance, MDM, FinOps, security, and reliability across the

Qualifications

• 10+ years of experience in Data Engineering, Data Architecture, or related roles.
• Hands-on experience 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.
• Knowledge of Master Data Management (MDM) and data classification.
• Experience leading technical teams and working with business stakeholders.
• Knowledge of cloud cost optimization and FinOps principles.

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.

Skills

10+ years experience

Databricks

Snowflake

Microsoft Fabric

Data modeling

Data integration

Python

C#

PowerShell

Data Governance

MDM

FinOps

Leadership

Cloud cost optimization

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

• 10+ 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