Chief Data Innovator

1 day ago


Dindigul, Tamil Nadu, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Architect

The ideal candidate will have experience with cloud-native technologies, big data platforms, and AWS services. They should be able to design and implement large-scale data solutions that meet business requirements.

Key Responsibilities:

  • Design and strategy: Define data architecture blueprints for products, including data flow diagrams, system integrations, and storage solutions.
  • Cloud data platform development: Develop cloud-based data platforms on AWS, implementing data pipelines and warehouses using AWS services.
  • Big data & legacy integration: Ingest large-scale datasets from various sources and optimize processing of big data using Spark, integrating legacy Hadoop-based data into the AWS environment.
  • Data modeling: Develop and maintain data models (conceptual, logical, physical) for databases and data lakes.
  • Advanced analytics enablement: Work closely with data science and analytics teams to enable AI and advanced analytics, providing well-structured data sets and creating pipelines that feed machine learning models.
  • Efficiency and scalability: Design efficient, scalable processes for data handling, optimizing ETL jobs, and implementing incremental data loading strategies.
  • Data governance & security: Embed data governance into the architecture, ensuring compliance with data privacy and security standards and implementing access controls and encryption.
  • Collaboration and leadership: Collaborate with cross-functional teams to ensure data needs are translated into technical solutions and provide technical leadership to data engineers.
  • Innovation and thought leadership: Stay abreast of emerging trends in data architecture, big data, and AI, evaluating and recommending new technologies or approaches.

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