Associate Director

14 hours ago

uttar pradesh, India XCUTIVES INC. Full time

EXPERIENCE - 10-15 years Job SummaryWe 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 materialsROLE COMPETENCY • 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 cloud 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

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