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Data Architect

Data Architect

People Prime Worldwideaurangabad, maharashtra, in
30+ days ago
Job description

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.

Job Title : Data Architect

Location : Hyderabad

Experience : 10+years

Employment Type : Permanent

Notice Period : Immediate Joiners Only

CTC : Up to 30 LPA

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.

Job Description

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 of experience in data architecture with a strong implementation background
  • Deep expertise in data integration technologies (ETL / ELT, pipelines, APIs)
  • Strong experience with data modeling , data governance , and data quality frameworks
  • Solid understanding of enterprise data architecture patterns and best practices
  • Proven ability to work with cross-functional teams and senior stakeholders
  • Excellent communication and presentation skills
  • Bachelor’s degree in Computer Science , Information Technology , or related field
  • 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
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