Presales Data Architect & Solutions Lead

NCS Philippines

Taguig

Hybrid

PHP 2,520,000 - 4,411,000

Full time

2 days ago
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Job summary

NCS Philippines is seeking a Data Architect – Presales to design data architecture solutions addressing client business and technical requirements. The role blends data architecture expertise with presales, solution consulting, client engagement, and technical presentations to support opportunities from discovery through proposal development.

You'll develop logical and physical data models for data warehouses, data lakes, BI, ETL, and related platforms, while guiding delivery teams.

Qualifications

  • Minimum 5+ years in data architecture, data engineering, or related roles.
  • Strong presales or solution consulting experience required.
  • Experience leading client-facing presales engagements and RFP/RFI responses.
  • Experience designing data warehouses/data lakes/enterprise data platforms.
  • Experience with cloud data platforms and modern data technologies is a plus.

Responsibilities

  • Lead or support presales activities including client discovery sessions and demonstrations.
  • Translate business requirements into data architecture and solution proposals.
  • Present architecture diagrams, data models, and recommendations to diverse audiences.
  • Provide inputs for effort estimation, scope, risks, and implementations.
  • Collaborate with Sales, Solution Architects, and Delivery teams.

Skills

Presales experience
Client-facing communication
Data architecture
Solution consulting
Presentation skills

Education

Bachelor's Degree in IT/CS or related field

Tools

Oracle
SQL Server
MongoDB
Hadoop

Job description

NCS Philippines is seeking a Data Architect – Presales to design data architecture solutions addressing client business and technical requirements. The role blends data architecture expertise with presales, solution consulting, client engagement, and technical presentations to support opportunities from discovery through proposal development.

You'll develop logical and physical data models for data warehouses, data lakes, BI, ETL, and related platforms, while guiding delivery teams.

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