Job highlights

- Bachelors degree in Computer Science,Information Systems,or related field
- Design and implement data access and control policies to ensure that data is accessed only by authorized users and applications
- 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
- Bachelors 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.
- Robust communication and collaboration skills.
- Ability to lead cross-functional teams and work in a fast-paced

📌 Data Lake Architect (Hyderabad)
🏢 Solix Technologies
📍 Hyderabad