Solution Architect

WillWare Technologies; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

WillWare Technologies in Bengaluru seeks an experienced Data / Solution Architect with deep Azure Data expertise to architect and deliver scalable enterprise-grade data platforms and data products.

You will lead data architecture discussions, stay hands-on with Spark, ETL, and data lakehouse technologies, and mentor engineering teams while guiding cloud migration and DevOps for data platforms.

Qualifications

• 12+ years of overall IT experience.
• 5+ years in Data Architecture / Solution Architecture roles.
• Hands-on background in Data Engineering and Data Platform implementation.

Responsibilities

• Design and implement scalable, secure, and high-performance Azure-based data platforms.
• Define enterprise data architecture, data integration patterns, and data governance frameworks.
• Architect and deliver modern Data Lake, Lakehouse, and Data Product solutions.
• Translate business requirements into scalable technical solutions with stakeholders.
• Develop data models (Conceptual, Logical, Physical) for analytics and operational use cases.
• Lead architecture reviews, solution planning, and technical decision-making.
• Establish best practices for data ingestion, transformation, storage, security, metadata management, and data quality.
• Provide technical leadership and mentoring to engineering teams.
• Support DevOps, CI/CD, and deployment strategies for data platforms.
• Drive data modernization initiatives and cloud migration programs.

Skills

Data Architecture

Azure Data

Spark / PySpark

ETL / ELT

Data Lakehouse

Data Modeling

Data Governance

CI/CD

Mentoring

Cloud Architecture

Education

Bachelor's or Master's in CS/Engineering/IS

Tools

Azure Data Factory

Azure Synapse Analytics

Apache Spark

Terraform

Job description

We are seeking an experienced Data / Solution Architect with deep expertise in the Azure Data ecosystem to architect, design, and deliver scalable enterprise-grade data platforms and data products. The ideal candidate should possess a strong data engineering background, hands‑on experience with Azure data technologies, and the ability to define end‑to‑end data architecture aligned with business objectives.

This role requires a strategic thinker who can lead architecture discussions while remaining hands‑on with modern data engineering and cloud-native solutions.

Experience

• 12+ years of overall IT experience
• 5+ years of experience in Data Architecture / Solution Architecture roles
• Strong hands‑on background in Data Engineering and Data Platform implementation

Key Responsibilities

• Design and implement scalable, secure, and high-performance Azure-based data platforms.
• Define enterprise data architecture, data integration patterns, and data governance frameworks.
• Architect and deliver modern Data Lake, Lakehouse, and Data Product solutions.
• Work closely with business stakeholders, product owners, and engineering teams to translate business requirements into scalable technical solutions.
• Develop data models (Conceptual, Logical, and Physical) supporting enterprise analytics and operational use cases.
• Lead architecture reviews, solution planning, and technical decision-making.
• Establish best practices for data ingestion, transformation, storage, security, metadata management, and data quality.
• Provide technical leadership and mentoring to engineering teams.
• Support DevOps, CI/CD, and deployment strategies for data platforms.
• Drive data modernization initiatives and cloud migration programs.

Mandatory Technical Skills

• Strong hands-on experience with Spark / PySpark
• ETL / ELT architecture and implementation
• Data Lakehouse Architecture
• Data Pipeline Design and Optimization
• Performance Tuning and Scalability
• Dimensional Modeling (Star/Snowflake)
• Data Warehouse Architecture
• Metadata Management
• Data Governance and Data Quality Frameworks
• Master Data Management concepts

Deployment & Data Products

• Experience designing and deploying enterprise data products
• Understanding of data product lifecycle and operationalization
• CI/CD and DevOps for data platforms
• Infrastructure-as-Code concepts

Good to Have

• Experience with Azure AI Services
• Generative AI use cases on Azure
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• AI-powered data and analytics solutions
• Microsoft Fabric exposure

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related discipline.