Data Architect

Important Note (Please Read Before Applying)

🚫 Do NOT apply if:

• You have less than 10 years of experience in data architecture
• You do not have hands-on experience in implementing data integrations
• You come from a purely non-architecture background (e.g., only reporting/analyst roles)

✅ Apply ONLY if you meet ALL the mandatory requirements listed above. Irrelevant applications will not be processed.

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About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

As a Senior Data Architect, you will be responsible for designing and implementing robust, scalable, and secure data architectures. You will work closely with engineering teams and business stakeholders to drive strategic data initiatives, ensuring alignment with business goals and technology standards.

Key Responsibilities

• Design and implement enterprise-grade data architecture strategies
• Develop and enforce standards for data integration, governance, and quality
• Collaborate with cross-functional teams to gather requirements and align data solutions
• Lead the modeling of complex data structures and ensure data consistency across systems
• Advise stakeholders on data-related decisions, leveraging industry best practices
• Mentor teams on architecture patterns, tool usage, and data strategy
• Evaluate and implement new tools and technologies as needed

Mandatory Skills

10–12 years

data integration technologies

data modeling

enterprise data architecture patterns and best practices

cross-functional teams

communication and presentation skills

Computer Science

Nice to Have (Preferred Skills)

• Experience with

  cloud-based data platforms

  (AWS, GCP, or Azure)
• Relevant certifications in

  data architecture

  ,

  cloud platforms

  , or

  data governance

• Familiarity with

  big data technologies

  ,

  data lakes

  , or

  streaming frameworks