Senior Data Architect (Databricks, Azure, AWS)

Happiest Minds Technologies; Bengaluru; Presencial; INR 4.500.000 - 7.000.000; Jornada completa

Descripción de la vacante

Happiest Minds Technologies in Bengaluru is seeking an accomplished Data Architect to design and implement cloud-based data platforms using Databricks, Azure and AWS. The role requires hands-on expertise and leadership to build scalable data pipelines and enterprise analytics solutions.

You will define data governance, lineage, and modeling standards while guiding migration and modernization initiatives. Collaboration with analytics and AI teams is essential to deliver data-driven insights at

Formación

• 15+ years of experience in Data Engineering or Data Architecture.
• Hands-on expertise in Databricks, Azure, and AWS is mandatory.
• Experience with ETL/ELT, Data Pipelines, and Lakehouse Architecture.
• Knowledge of Data Governance, Data Lineage, and Data Modelling.
• Experience with Spark/PySpark, SQL, and Python.
• Experience building enterprise analytics and reporting platforms.
• Strong stakeholder management and communication skills.

Responsabilidades

• Design and implement enterprise-scale data architectures and cloud data platforms.
• Build scalable data pipelines and data integration frameworks.
• Architect and implement Data Lakehouse solutions using Databricks, Azure, and AWS.
• Define data governance, data quality, security, and lineage standards.
• Design logical and physical data models for reporting, analytics, and AI use cases.
• Lead cloud migration and data modernization initiatives.
• Collaborate with business, engineering, analytics, and AI teams to deliver enterprise data solutions.
• Provide technical leadership and mentor data engineering teams.

Conocimientos

Databricks

Microsoft Azure

Amazon Web Services

Data Architecture

ETL / ELT

Data Pipeline

Data Lakehouse

Data Modelling

Data Governance

Spark / PySpark

SQL

Reporting & Analytics

Descripción del empleo

Data Architect Databricks, Azure & AWS

Location: Bengaluru

About the Role

We are looking for an experienced Data Architect to lead the design and implementation of modern cloud-based data platforms. The ideal candidate should have strong hands-on expertise in Databricks, Azure, and AWS and experience building scalable data architectures, data pipelines, and enterprise analytics solutions.

Mandatory Skills

• Databricks (Mandatory)
• Microsoft Azure (Mandatory)
• Amazon Web Services (AWS) (Mandatory)
• Data Architecture & Solution Design
• ETL / ELT
• Data Pipeline Design & Development
• Data Lakehouse Architecture
• Data Modelling
• Data Governance & Data Lineage
• Apache Spark / PySpark
• SQL & Python
• Reporting & Analytics

Key Responsibilities

• Design and implement enterprise-scale data architectures and cloud data platforms.
• Build scalable data pipelines and data integration frameworks.
• Architect and implement Data Lakehouse solutions using Databricks, Azure, and AWS.
• Define data governance, data quality, security, and lineage standards.
• Design logical and physical data models for reporting, analytics, and AI use cases.
• Lead cloud migration and data modernization initiatives.
• Collaborate with business, engineering, analytics, and AI teams to deliver enterprise data solutions.
• Provide technical leadership and mentor data engineering teams.

Required Experience

• 15+ years of experience in Data Engineering or Data Architecture.
• Hands-on expertise in Databricks, Azure, and AWS is mandatory.
• Strong experience in ETL/ELT, Data Pipelines, and Lakehouse Architecture.
• Deep understanding of Data Governance, Data Lineage, and Data Modelling.
• Hands-on experience with Spark/PySpark, SQL, and Python.
• Experience building enterprise analytics and reporting platforms.
• Strong stakeholder management and communication skills.

Preferred Skills

• Experience with Generative AI, Agentic AI, or AI-enabled data platforms.
• Exposure to cloud-native architecture and enterprise data modernization programs.
• Azure, AWS, or Databricks certifications.