Data Architect

3 days ago

Lahore, Punjab, Pakistan beBee Careers Full time

Job Title: Cloud Data Architect

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  • Data Architects design and build data architectures that meet client requirements.
Responsibilities
  1. Technical Presentations: Prepare and deliver detailed technical presentations to showcase product strengths, capabilities, and benefits.
  2. Solution Architecture Design: Architect and design solutions using cloud computing and machine learning technologies.
  3. RFP Responses: Analyze and respond to RFPs with comprehensive solutions including technical specifications, budget estimates, and cost models.
  4. Proof of Concept Management: Lead and manage proof of concept projects to demonstrate technical feasibility and business value.
  5. Cloud and Machine Learning Expertise: Apply in-depth knowledge of cloud services and machine learning algorithms to advocate and design cutting-edge solutions.
  6. Research and Development: Engage in ongoing research and development to stay at the forefront of cloud and machine learning technologies.
  7. Technical Support: Provide expert technical support throughout the sales process.

Qualifications

  1. Bachelor's degree in computer science, engineering, or a related field; advanced degree preferred.
  2. Proven experience in presales engineering or technical sales roles, with a focus on data architecture.
  3. Deep understanding of data architecture principles, data modeling techniques, and data integration technologies.
  4. Strong analytical and problem-solving skills.
  5. Excellent communication, presentation, and interpersonal skills.
  6. Demonstrated ability to work collaboratively in a team environment.
  7. Experience with cloud platforms and modern data architecture patterns is highly desirable.
  8. Certifications in relevant technologies are a plus.

Benefits:

  • Opportunity to work with cutting-edge cloud and machine learning technologies.
  • Collaborative team environment.
  • Chance to enhance product offerings and customer solutions.

Others:

  • Familiarity with modern data architecture patterns and best practices is desired.

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