DATA ARCHITECT

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Responsibilities:

• Data Analytics & Strategy
  • Design and deploy robust data analytics frameworks to unlock actionable insights.
  • Partner with business units to translate data into strategic initiatives (e.g., customer retention, network optimization).
  • Develop predictive models and AI-driven solutions to enhance business outcomes.
• Data Platform Modernization
  • Assess, upgrade, and scale data infrastructure (data warehouses, lakes, big data ecosystems).
  • Integrate advanced technologies (e.g., cloud services, real-time processing) to streamline data pipelines.
  • Ensure data integrity, security, and compliance with global standards (GDPR, CCPA, etc.).
• Service Platform Architecture
  • Architect scalable, user-centric service platforms and APIs.
  • Lead cloud integration (Azure/AWS) to boost service delivery and operational efficiency.
  • Collaborate with cross-functional teams to define and implement microservices architecture.
• Innovation & Strategic Leadership
  • Align IT architecture with business objectives to ensure financial sustainability.
  • Identify and mitigate risks in IT infrastructure and data governance.
  • Pioneer adoption of emerging technologies (e.g., Gen AI, RPA, advanced analytics).

Requirements:

• Bachelor’s degree in Computer Science, Data Science, IT, Electronic Engineering, or related field.
• 3–5 years of hands-on experience designing and implementing:
  • Enterprise data platforms (data warehouses/lakes, big data solutions).
  • Cloud-based systems (Azure or AWS preferred).
  • AI/ML and Gen AI solutions (a strong plus).
• Big Data Technologies: Kafka, Hadoop, Spark, and related open-source tools.
• Cloud/DevOps: PaaS, VM, Unix/Linux environments.
• Programming: Proficiency in Python, Java, or similar languages.
• Data Pipeline Tools: MS CI, Confluence, and workflow automation.