Data Lake Architect

Job Duties and Responsibilities:

As a Data Lake Architect with 10-15+ years of experience in Java and Spring, you will be responsible for designing and implementing data lake architectures for large-scale, complex data environments using Java and Spring technologies. You will collaborate with cross-functional teams to develop and implement solutions that meet the business requirements for data storage, processing, and analysis. You will have a deep understanding of data architecture principles and best practices, as well as strong proficiency in Java and Spring, and be able to lead the development of scalable, efficient, and secure data lake environments.

Key Responsibilities:

• Design and develop Data Lake Architectures that support the storage, processing, and analysis of large-scale, complex data environments using Java and Spring technologies.
• Collaborate with cross-functional teams to gather and analyze requirements and develop data lake solutions that meet business needs.
• Develop and implement data governance policies and procedures to ensure the security, accuracy, and reliability of data within the data lake.
• Lead the development of data ingestion, transformation, and processing pipelines using Java and Spring technologies that enable data to be processed and analyzed efficiently.
• Design and implement data access and control policies to ensure that data is accessed only by authorized users and applications.
• Work with infrastructure and operations teams to ensure the data lake is scalable, reliable, and efficient.
• Develop and implement monitoring and alerting systems to proactively identify and resolve issues within the data lake environment.
• Keep up to date with emerging technologies and trends in data architecture, Java and Spring development, and identify opportunities for innovation and improvement.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 10-15+ years of experience in data architecture and design, with a focus on large-scale, complex data environments using Java and Spring technologies.
• Strong understanding of data lake architecture principles and best practices.
• Proficiency in Java and Spring development.
• Experience with cloud-based data lake platforms such as AWS, Azure, or Google Cloud Platform is a plus.
• Experience designing and implementing data governance policies and procedures.
• Experience leading the development of data ingestion, transformation, and processing pipelines using Java and Spring technologies.
• Strong understanding of data access and control policies and procedures.
• Experience working with infrastructure and operations teams to ensure the data lake is scalable, reliable, and efficient.
• Strong communication and collaboration skills.
• Ability to lead cross-functional teams and work in a fast-paced, dynamic environment.

If you are interested in joining our winning team, please email your resume to jobs@solix.com