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Associate Director – Data Presales Architect

10 - 15 years

0 Lacs

Noida Uttar Pradesh India

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

data support architecture integration etl aws azure gcp leadership design estimate drive documentation presentation technology certifications consulting integrator informatica talend communication estimation

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Location:

Experience Required:


Role Overview:


Data Warehousing, Data Lakes, Data Integration, and Data Governance


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

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