Solution Architect

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

Azure Data Platform

• Azure Data Lake Storage (ADLS Gen2)
• Azure Data Factory (ADF)
• Azure Databricks
• Azure Synapse Analytics (preferred)
• Azure SQL / SQL Server

Data Engineering & Big Data

• Strong hands-on experience with Spark / PySpark
• ETL / ELT architecture and implementation
• Data Lakehouse Architecture
• Delta Lake
• Data Pipeline Design and Optimization
• Performance Tuning and Scalability

Data Architecture

• Enterprise Data Modeling
• 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
• Azure OpenAI
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• AI-powered data and analytics solutions
• Microsoft Fabric exposure

Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or related discipline.
• Azure Certifications such as:
  • Azure Solutions Architect Expert
  • Azure Data Engineer Associate
  • Azure AI Engineer Associate (preferred)

Key Competencies

• Solution Architecture & Design
• Stakeholder Management
• Technical Leadership
• Problem Solving & Analytical Thinking
• Communication & Presentation Skills
• Consulting Mindset

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.