DATA ARCHITECT - ADFS

Happiest Minds Technologies; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Happiest Minds Technologies is seeking an experienced Lead Data Architect / Data Engineering Manager in Bengaluru to lead data engineering teams building scalable enterprise data platforms on Azure. You will architect data pipelines, guide client engagements, and set technical standards while mentoring engineers to deliver end-to-end solutions.

The role requires 12-15 years in IT, 10+ years in data engineering, and strong hands-on expertise with Azure data services, PySpark, Python, and data

Qualifications

• 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.

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.

Skills

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

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

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

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.