Data Architect I

Role Overview We are looking for an experienced Pre-Sales Architect/Solution Consultant with a strong background in Data Engineering & Analytics to support presales activities, customer engagements, and solution development. The candidate will be responsible for understanding customer requirements, responding to RFPs, RFIs, and RFQs, designing end-to-end technical solutions, and developing compelling proposals that address customer business and technology challenges. The role requires a combination of strong technical expertise, solution architecture knowledge, customer-facing communication skills, and the ability to translate complex requirements into practical, scalable, and cost-effective solutions. The candidate should also be familiar with modern data platforms, cloud technologies, reusable engineering frameworks, and AI-enabled approaches to accelerate data engineering and modernization initiatives. Key Responsibilities

• Analyse customer RFPs, RFIs, and RFQs, understand business and technical requirements, and develop comprehensive technical responses and solution proposals.
• Engage directly with customers through discovery workshops, requirement discussions, technical presentations, and solution walkthroughs.
• Design end-to-end Data & Analytics solutions covering data ingestion, integration, transformation, storage, data quality, governance, and analytics.
• Develop high-level solution architectures for cloud data platforms, data warehouses, data lakes, lake houses, and data modernization initiatives.
• Recommend suitable technologies and architecture patterns across AWS, Azure, GCP, Snowflake, Databricks, Snowflake, Microsoft Fabric, and other relevant platforms.
• Define solution approaches for data migration, ETL modernization, legacy transformation, data consolidation, and cloud migration programmes.
• Identify opportunities to leverage Generative AI, intelligent automation, and reusable frameworks to accelerate engineering, migration, testing, and operational activities.
• Prepare solution presentations, technical proposals, architecture diagrams, implementation approaches, and customer-specific capability decks.
• Develop high-level effort estimates, resource plans, delivery timelines, assumptions, dependencies, and cost-effective delivery models, including core-flex and capacity-based models.
• Collaborate with sales, presales, architects, engineering teams, and delivery leadership to develop technically feasible, commercially viable, and differentiated customer solutions. Required Skills & Experience
• Total 15 plus years of Data engineering and analytics project implementation with strong hands-on experience in the Data Engineering and Analytics at least for 10 Years.
• Strong architecture experience in implementing very high-volume data analytics platforms
• Strong experience in legacy data platform modernisation to cloud Azure/AWS/GCP
• Strong knowledge in implementing Agentic AI, Gen AI based automation in the Data Engineering and Analytics
• Strong experience in Data & Analytics, solution architecture, cloud data platforms, data engineering, ETL/ELT, data migration, and modernization, with knowledge of AWS, Azure, GCP, Snowflake, Databricks, or Microsoft Fabric.
• Proven experience in technical presales, RFP/RFI/RFQ responses, customer engagement, solution presentations, effort estimation, and proposal development, with an understanding of Generative AI and automation-led engineering approaches.
• Strong communication, presentation, analytical, and stakeholder management skills.