PERSOL SINGAPORE PTE. LTD. Hiring! Full Time Principal Data Solution Architect in , Earn up to SGD 15,000 - Ricebowl

Join our dynamic team as a Lead Data Architecture Consultant, where you will play a crucial role in guiding our digital transformation journey towards becoming an AI-enabled enterprise. This position offers an exciting opportunity to shape data strategies and frameworks that drive innovation across the organization.

Responsibilities:

• Serve as the primary consultant for data architecture, delivering strategic guidance across various teams.
  
• Review existing system data architectures to ensure they align with the enterprise’s AI roadmap.
  
• Drive standardization initiatives for seamless integration and intelligent capabilities.
  
• Collaborate with business stakeholders, technology vendors, and cross-functional teams to assess current data landscapes and identify transformation opportunities.
  
• Establish architectural principles that facilitate the adoption of advanced analytics, machine learning, and artificial intelligence.
  
Develop enterprise-wide data strategies and governance frameworks, promoting best practices for AI readiness.
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Requirements:

• Degree in Computer Engineering, Computer Science, Data Science, or a related technical field.
  
• Minimum of 8 years of experience in enterprise data architecture consulting, demonstrating the ability to assess and align diverse system architectures.
  
• Proven experience conducting enterprise-wide data architecture reviews.
  
• Strong understanding of enterprise architecture frameworks and methodologies for large-scale system integration.
  
• Advanced proficiency in evaluating and standardizing data architectures across cloud platforms (AWS, Microsoft Azure, Google Cloud Platform).
  
• Familiarity with architectural assessment tools and frameworks for analyzing enterprise data landscapes.
  
• Hands-on experience with various data technologies, including relational databases (PostgreSQL, MySQL, SQL Server), NoSQL databases (MongoDB, Cassandra), and in-memory databases (Redis).
  
• Understanding of AI/ML architectural patterns, data pipeline designs, and requirements for integrating intelligent systems.
  
• Experience in establishing enterprise-wide data standards and governance policies.
  
Strong analytical skills to evaluate complex, heterogeneous data environments and influence architectural decisions across multiple business units and technology teams.

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