DATA ARCHITECT – ADFS

Earnmodes; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Earnmodes in Bengaluru is seeking an experienced Lead Data Architect/Data Engineering Manager with 12+ years in IT and 10+ years in Data Engineering. You will design scalable data solutions on Azure, lead end-to-end data integration and analytics initiatives, and mentor a team of data engineers while working closely with clients to deliver enterprise-grade data platforms.

The role requires strong leadership, governance, and collaboration across business and technology teams to ensure successful

Qualifications

• 12-15 years of overall IT experience.

Responsibilities

• Design scalable data engineering solutions on Azure Cloud.
• Lead end-to-end data integration, data migration, and analytics initiatives.
• Architect and optimize large-scale data processing pipelines using PySpark and Python.
• Engage directly with clients to gather requirements and drive delivery.
• Lead and mentor a team of data engineers and establish technical standards.
• Drive data governance, security, and performance optimization strategies.
• Collaborate with stakeholders and project managers to ensure project success.
• Provide estimation, planning, and risk management for data projects.

Skills

IT Leadership

Data Engineering

Client facing

Stakeholder management

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

PySpark

Python

SQL Server / T-SQL

Delta Lake

ETL/ELT Frameworks

Data Warehousing

CI/CD & Azure DevOps

Git

Data Quality & Validation

Job description

Job Description

We are seeking an experienced and highly motivated Lead Data Architect / Data Engineering Manager with 10+ years of experience in Data Engineering and Cloud Technologies. The ideal candidate will possess strong expertise in Azure Cloud, PySpark, Python, and modern data platforms, with proven experience leading teams and working directly with clients to deliver scalable enterprise data solutions.

Key Responsibilities

• Design, develop, and implement scalable data engineering solutions on Azure Cloud.
• Lead end-to-end data integration, data migration, and analytics initiatives.
• Architect and optimize large-scale data processing pipelines using PySpark and Python.
• Engage directly with clients to gather requirements, provide technical guidance, and drive solution delivery.
• Lead and mentor a team of data engineers, fostering technical excellence and best practices.
• Define data governance, security, and performance optimization strategies.
• Drive architectural decisions and establish technical standards for enterprise data platforms.
• Work closely with stakeholders, business teams, and project managers to ensure successful project execution.
• Provide estimation, planning, and risk management for data engineering projects.

Required Skills & Experience

• 12-15 years of overall IT experience.
• 10 + years of experience in Data Engineering.
• Experience leading technical teams and managing project delivery.
• Strong client-facing and stakeholder management experience.

Technical Skills

• Azure Data Factory (ADF)
• Azure Databricks
• Azure Data Lake Storage (ADLS)
• PySpark
• Python
• SQL Server / T-SQL
• Delta Lake
• ETL/ELT Frameworks
• Data Warehousing Concepts
• CI/CD and Azure DevOps
• Git Version Control
• Data Quality and Data Validation Frameworks

Leadership Responsibilities

• Manage and mentor a team of Data Engineers.
• Conduct code reviews and architecture reviews.
• Support resource planning and team growth initiatives.
• Collaborate with cross-functional teams across business and technology domains.

Client Engagement

• Act as a trusted advisor to clients.
• Lead solution workshops and requirement gathering sessions.
• Present technical solutions to business and executive stakeholders.
• Manage escalations and ensure successful project delivery.
• Build strong client relationships and identify opportunities for enhancement and value creation.

Reference Number

PEPPGS01-169-1

Source: Company Career page