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Lead Data Architect

2 weeks ago

Hyderabad, Telangana, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Data Architecture Leader

We are seeking an experienced and visionary Data Architect to lead the design and implementation of our digital platform's data infrastructure. This role will be instrumental in ensuring the data ecosystem is scalable, secure, and reliable, with a strong focus on leveraging cloud services and big data platforms.

Key Responsibilities:

  • Platform Architecture Design: Lead the design and architecture of the digital platform, ensuring the data infrastructure is scalable, secure, and reliable. Focus on utilizing cloud-native solutions and big data platforms to build a robust, cloud-based data architecture.
  • Data Integration & ETL Pipelines: Architect and implement ETL/ELT pipelines to integrate data from multiple sources into the platform, using data integration tools and big data platforms for efficient data processing.
  • Cloud Strategy & Deployment: Implement cloud-native solutions, leveraging cloud tools and big data platforms for data storage, real-time processing, machine learning, and analytics. Design the platform to be cost-efficient, highly available, and easily scalable.
  • Data Modelling: Develop and maintain comprehensive data models for the platform that support business intelligence, reporting, and analytics. Ensure data model design aligns with business requirements and the overall platform architecture.
  • Data Security & Governance: Implement robust data governance frameworks to ensure data privacy, compliance, and security in the digital platform. Utilize cloud security tools and best practices to safeguard sensitive data and manage access control.
  • Platform Performance & Optimization: Monitor and optimize platform performance, including the efficiency of data processing, data retrieval, and analytics workloads. Ensure low-latency and high-throughput data pipelines.
  • Collaboration & Stakeholder Management: Collaborate closely with stakeholders across data engineering, data science, and business teams to align the platform architecture with business needs and evolving technological requirements.