Description

You will lead the design, development, and implementation of cloud-based data solutions for key clients.

Responsibilities

• Lead the architecture and design of scalable enterprise-grade data solutions, including data lakes, data warehouses, data mesh, and real-time pipelines.
• Translate client business challenges into technical requirements and present data strategies.
• Support pre-sales activities, including proposal development and solution demonstrations.
• Drive data modernization initiatives using cloud-native services, Big Data technologies, GenAI, and LLMs.
• Apply data architecture best practices across industries such as BFSI, Retail, Supply Chain, and Manufacturing.

Required Skills

• 15+ years of experience in IT with a focus on data architecture, solution architecture, and data engineering.
• Hands-on experience with Azure (Microsoft Fabric, Data Lake, Power BI, Data Factory, Azure Purview).
• Hands-on experience with GCP (BigQuery, Vertex AI, Gemini).
• Experience with AWS cloud platforms.
• Knowledge of integrating AI/ML capabilities, including GenAI and LLMs, into data solutions.
• Experience with Azure Service Foundry, Agentic AI, and Copilot.
• Proven ability to lead technical teams and manage client relationships.
• Bachelor’s or master’s degree in Computer Science, Engineering, IT, or a related field.

Preferred Skills

• Relevant certifications in AWS, Azure, GCP, Snowflake, or Databricks.
• Experience with Agentic AI and hyper-intelligent automation.

Key Skills

Education

Any Graduate