Data Solution Architect

About the role

We are seeking an experienced Data Solution Architect to design and deliver scalable, secure, and cloud‑native data platforms. The role involves direct client interaction to understand business needs, define architecture, and lead end‑to‑end implementations.

Key responsibilities

• Design end‑to‑end data architecture and modern data platforms on Azure (preferred) or AWS.
• Leverage Agentic AI and Large Language Models to build future‑ready data solutions.
• Engage with clients through workshops, gather requirements, and translate them into technical designs.
• Define integration patterns, data models, governance, and security best practices.
• Lead solution design for data warehousing, data lakes, real‑time processing, and analytics.
• Provide technical leadership to delivery teams throughout project execution.
• Prepare architecture documents, solution proposals, and effort estimations.

Required profile

• 12+ years of experience in data engineering and analytics.
• Strong expertise in Microsoft Azure services (Data Factory, Synapse, Databricks, Data Lake Storage) and working knowledge of AWS data services.
• Hands‑on experience with SQL, Python, Spark, ETL/ELT, and data modeling.
• Proven client‑facing experience with excellent communication and consulting skills.
• Experience delivering enterprise data solutions for Banking, Telecom, Retail, Healthcare, or similar large‑scale organizations.

Required skills

• Microsoft Azure (Data Factory, Synapse Analytics, Databricks, Data Lake Storage, Microsoft Fabric)
• AWS (Redshift, Glue, EMR, S3, Athena, Lambda)
• SQL, Python, Spark, ETL/ELT, data modeling
• Data governance, security, scalability, performance optimization
• Agentic AI, Large Language Models (LLMs)