Data Architect I

UST; Ernakulam; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

UST in India is seeking an experienced Pre-Sales Architect/Solution Consultant with a strong Data Engineering & Analytics background to support presales activities, customer engagements, and solution development.

You will design end-to-end data solutions, respond to RFPs, and translate complex requirements into scalable, cost-efficient proposals, leveraging AWS/Azure/GCP, Snowflake, Databricks, and Microsoft Fabric.

Qualifications

• Total 15+ years in data engineering and analytics project delivery.
• Hands-on in high-volume analytics platforms.
• Experience modernising data platforms to cloud (Azure/AWS/GCP).

Responsibilities

• Analyse RFPs/RFIs/RFQs and craft technical responses.
• Engage with customers via discovery workshops and presentations.
• Design end-to-end data and analytics solutions.
• Develop high-level cloud data platform architectures.
• Propose technologies and patterns across AWS/Azure/GCP/Snowflake/Databricks.
• Define migration, ETL modernization and cloud migration plans.
• Incorporate Generative AI and reusable frameworks.
• Prepare architecture diagrams, proposals and capability decks.
• Estimate efforts, timelines, and delivery models.
• Collaborate with sales, presales, engineering and delivery teams.

Skills

Data engineering

Analytics

Presales

Solution architecture

RFP/RFI responses

Cloud platforms

Generative AI

AI automation

Stakeholder management

Technical presentations

Tools

AWS

Azure

GCP

Snowflake

Databricks

Microsoft Fabric

Job description

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.
• 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.

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