Associate Director – Data Presales Architect

Job Title : Associate Director – Data Presales ArchitectLocation : Greater NoidaExperience Required : 10-15 yearsRole 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 solutionsLead presales engagements, including RFP / RFI / RFQ lifecycle managementCreate and present compelling proposals and solution designs to clientsCollaborate with cross-functional teams to deliver end-to-end solutionsEstimate efforts and resources for customer requirementsDrive Managed Services opportunities and enterprise deal closuresEngage with clients across MEA, APAC, US, and UK regionsEnsure alignment of solutions with business goals and technical requirementsMaintain high standards of documentation and presentation for client-facing materialsMust-Have : Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fieldCertifications in AWS, Azure, GCP, or Snowflake are a plusExperience working in consulting or system integrator environmentsStrong knowledge of Data Warehousing, Data Lakes, Data Integration, and Data GovernanceHands-on experience with ETL tools (e.g., Informatica, Talend, etc.)Exposure to c loud environments : AWS, Azure, GCP, SnowflakeMinimum 2 years of presales experience with understanding of presales operating processesExperience in enterprise-level deals and Managed ServicesProven ability to handle multi-geo engagementsExcellent presentation and communication skillsStrong understanding of effort estimation techniques for customer requirements