Data Solutions Architect

Job Title: Associate Director – Data Presales Architect Location: Greater Noida
Experience Required: 10-15 years
Role Overview:
We are seeking a highly skilled and experienced professional to lead and support our data warehousing and data center architecture initiatives.

The ideal candidate will have deep expertise in Data Warehousing, Data Lakes, Data Integration, and Data Governance , with hands-on experience in ETL tools and cloud platforms such as AWS, Azure, GCP, and Snowflake .

This role demands strong presales experience , technical leadership, and the ability to manage complex enterprise deals across multiple geographies.
Key Responsibilities:
Architect and design scalable Data Warehousing and Data Lake solutions
Lead presales engagements, including RFP/RFI/RFQ lifecycle management
Create and present compelling proposals and solution designs to clients
Collaborate with cross-functional teams to deliver end-to-end solutions
Estimate efforts and resources for customer requirements
Drive Managed Services opportunities and enterprise deal closures
Engage with clients across MEA, APAC, US, and UK regions
Ensure alignment of solutions with business goals and technical requirements
Maintain high standards of documentation and presentation for client-facing materials
Must-Have:
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
Certifications in AWS, Azure, GCP, or Snowflake are a plus
Experience working in consulting or system integrator environments
Strong knowledge of Data Warehousing, Data Lakes, Data Integration, and Data Governance
Hands-on experience with ETL tools (e.G., Informatica, Talend, etc.)
Exposure to c loud environments: AWS, Azure, GCP, Snowflake
Minimum 2 years of presales experience with understanding of presales operating processes
Experience in enterprise-level deals and Managed Services
Proven ability to handle multi-geo engagements
Excellent presentation and communication skills
Strong understanding of effort estimation techniques for customer requirements