Role description

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.



•Robust 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.

Skills

Pre-Sales Support, Customer Experience, Stakeholder Management, Data Governance, Agentic AI, Cloud Data Warehousing, Data Engineering, Data Lakes, Data Migration, ETL, Google Cloud Platform

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

📌 Data Architect I (Kerala)
🏢 UST
📍 Kerala