Associate Director Data Presales Architect

2 - 15 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: You will be responsible for leading and supporting data warehousing and data center architecture initiatives. Your expertise in Data Warehousing, Data Lakes, Data Integration, and Data Governance, along with hands-on experience in ETL tools and cloud platforms such as AWS, Azure, GCP, and Snowflake, will be crucial. This role requires strong presales experience, technical leadership, and the ability to handle complex enterprise deals across multiple geographies. Key Responsibilities: - Architect and design scalable Data Warehousing and Data Lake solutions - Lead presales engagements, including managing the RFP/RFI/RFQ lifecycle - Develop 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 in MEA, APAC, US, and UK regions - Ensure solutions align with business goals and technical requirements - Maintain high standards of documentation and presentation for client-facing materials Qualifications Required: - Bachelor's or Master's degree in Computer Science, Information Technology, or related field - Certifications in AWS, Azure, GCP, or Snowflake are advantageous - Experience in consulting or system integrator environments - Proficiency in Data Warehousing, Data Lakes, Data Integration, and Data Governance - Hands-on experience with ETL tools (e.g., Informatica, Talend, etc.) - Familiarity with cloud environments: AWS, Azure, GCP, Snowflake - Minimum 2 years of presales experience with knowledge of presales operating processes - Experience in enterprise-level deals and Managed Services - Ability to manage multi-geo engagements effectively - Excellent presentation and communication skills - Strong understanding of effort estimation techniques for customer requirements,

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Information Technology

Gurgaon

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