
Chief Data Innovator
1 day ago
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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