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Senior Pre-Sales Solutions Data Architect
Smartavya
Senior Pre-Sales Solutions Data Architect
Smartavya's logo

Senior Pre-Sales Solutions Data Architect

at Smartavya

Agency job
12 - 16 yrs
₹32L - ₹35L / yr
Mumbai
Skills
skill iconData Analytics
Data Visualization
PowerBI
Tableau
Qlikview
Spotfire
Big Data
Google Cloud Platform (GCP)
Windows Azure
databricks
Apache Synapse
Cloudera
  • Lead pre-sales activities, including requirements gathering, solution design, and presentation to prospective clients.
  • Understand and decipher customer requirements, including hidden and unhidden needs.
  • Conduct requirements gathering meetings, workshops, and discussions with clients.
  • Develop and present data solutions using cloud platforms such as GCP Big Query, Azure Synapse / ADF / Azure Cloud, Snowflake, Databricks, and Cloudera Big Data CDP platform.
  • Create and deliver compelling presentations and demonstrations to clients using PowerPoint and other similar tools.
  • Collaborate with sales, engineering, and product teams to develop tailored solutions for clients.
  • Maintain strong client relationships and ensure customer satisfaction through effective communication and engagement.
  • Stay updated with the latest trends and advancements in big data and cloud technologies.
  • Provide technical expertise and guidance to clients and internal teams.
  • Participate in industry events, conferences, and seminars to showcase the company’s capabilities and solutions.


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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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