Senior Business Intelligence Architect

2 days ago


Malappuram, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

For organizations seeking to drive business value from data, we are looking for a visionary Senior Data Architect to lead the design and implementation of scalable data solutions. This role is ideal for an expert in cloud-native technologies and big data platforms who can collaborate with cross-functional teams to deliver advanced analytics and AI-driven products.

The successful candidate will leverage their expertise in AWS cloud services and big data technologies to build data architectures that support real-time processing and analytics workloads. They will oversee the development of cloud-based data platforms, including data pipelines and warehouses, and ensure seamless integration with existing systems.

This position requires a strong technical foundation, with experience in designing relational schemas, dimensional models, and data governance frameworks. The Senior Data Architect will also be responsible for embedding data science and analytics capabilities into the organization, providing well-structured data sets and creating pipelines that feed machine learning models.

We welcome applications from experienced professionals who possess a unique blend of technical expertise and business acumen. If you have a track record of designing and implementing large-scale data solutions and are passionate about staying ahead of emerging trends in data architecture, we want to hear from you.

Key Responsibilities:

Data Architecture: Design and implement data architectures that support real-time processing and analytics workloads.

Cloud Data Platform Development: Develop and maintain cloud-based data platforms, including data pipelines and warehouses.

Big Data & Legacy Integration: Integrate large-scale datasets from various sources and optimize processing using Spark.

Data Modeling: Design and maintain relational schemas, dimensional models, and data governance frameworks.

Data Science & Analytics Enablement: Embed data science and analytics capabilities into the organization, providing well-structured data sets and creating pipelines that feed machine learning models.

Leadership & Collaboration: Collaborate with cross-functional teams to deliver advanced analytics and AI-driven products.

Tech Skills:

  • AWS Cloud Services
  • Big Data Technologies
  • Relational Schemas
  • Dimensional Models
  • Data Governance Frameworks
  • Data Science & Analytics
  • Machine Learning


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