Responsibilities:

Develop and maintain the overall data lake architecture, ensuring it meets the current and future business needs
Collaborate with stakeholders to identify data sources, define data ingestion pipelines and implement data governance policies
Design and implement data lake security and access controls to ensure data privacy and compliance with regulatory requirements
Develop data models and data structures for efficient storage, retrieval and analysis of data
Work with data engineers to build and maintain data pipelines for data ingestion, processing and transformation
Monitor and optimize data lake performance, identifying and resolving any issues or bottlenecks
Develop and maintain data lake documentation, including data dictionaries, data lineage and data flow diagrams
Stay updated on industry trends and best practices in data lake architecture, and make recommendations for continuous improvement
Train and mentor team members on data lake architecture, data governance and data management best practices

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
Minimum of 5 years of experience in data lake architecture, with a strong understanding of data lake concepts, methodologies, and tools
Proven experience in designing and implementing large-scale data lakes, preferably in a cloud environment
Extensive knowledge of data management and data governance principles, as well as data security and privacy regulations
Experience with data modeling and data integration tools, such as Hadoop, Spark, or Kafka
Strong programming skills in SQL, Python, or Java
Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions
Proven experience in leading and mentoring a team in a fast-paced and dynamic environment
Excellent communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders at all levels of the organization

Join our team and be part of a dynamic and innovative organization that is transforming the way we manage and use data.

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