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Responsibilities: ¿ Provide strategic direction and leadership for data management and cloud initiatives. ¿ Collaborate with senior leadership to align data and cloud strategies with business objectives. ¿ Define best practices, standards, and guidelines for data and cloud solutions. ¿ Design and implement scalable, secure, and high performance data and cloud architectures. ¿ Lead the development and deployment of data pipelines, storage solutions, and cloud based applications. ¿ Ensure data integrity, quality, and governance across all cloud environments. ¿ Serve as the technical expert on data management and cloud technologies, providing guidance and support to development teams. ¿ Troubleshoot and resolve complex technical issues related to data and cloud infrastructure. ¿ Stay current with emerging trends and technologies in data management and cloud computing. ¿ Work closely with cross functional teams, including IT, development, and operations, to deliver integrated solutions. ¿ Communicate technical concepts and solutions to both technical and non technical stakeholders. ¿ Mentor and train team members on data and cloud best practices and technologies. ¿ Implement robust security measures, including encryption, access controls, and monitoring. ¿ Optimize data storage, processing, and retrieval performance in cloud environments. ¿ Conduct regular performance tuning and capacity planning exercises. ¿ Maintain comprehensive documentation of data and cloud architectures, configurations, and processes. ¿ Generate regular reports on data and cloud performance, usage, and compliance. Requirements: ¿ Bachelor¿s degree in information technology, Computer Science, Data Management, or a related field. ¿ Minimum of 7 10 years of experience in data management and cloud computing. ¿ Proven track record of designing and implementing large scale data and cloud solutions. ¿ Proficiency in cloud platforms such as AWS, Azure, or Google Cloud. ¿ Strong experience with data management technologies (e.g., SQL/NoSQL databases, data warehouses, ETL tools). ¿ Familiarity with big data technologies (e.g., Hadoop, Spark). ¿ Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). ¿ Expertise in data security and compliance practices. ¿ Strong knowledge of database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL, NoSQL databases). ¿ Experience with data integration tools (e.g., Informatica, Talend, Apache NiFi) and ETL processes. ¿ Excellent problem solving skills and attention to detail. ¿ Strong communication skills, with the ability to articulate complex data concepts to non technical stakeholders. ¿ Ability to work collaboratively in a team environment and manage multiple priorities. Preferred Qualifications: ¿ Certifications: Relevant certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Data Engineer. ¿ Additional Skills: Experience with machine learning and artificial intelligence technologies. ¿ Industry Knowledge: Understanding of industry specific data management and cloud requirements. ¿ Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). ¿ Knowledge of data modelling and design
Responsibilities: ¿ Provide strategic direction and leadership for data management and cloud initiatives. ¿ Collaborate with senior leadership to align data and cloud strategies with business objectives. ¿ Define best practices, standards, and guidelines for data and cloud solutions. ¿ Design and implement scalable, secure, and high performance data and cloud architectures. ¿ Lead the development and deployment of data pipelines, storage solutions, and cloud based applications. ¿ Ensure data integrity, quality, and governance across all cloud environments. ¿ Serve as the technical expert on data management and cloud technologies, providing guidance and support to development teams. ¿ Troubleshoot and resolve complex technical issues related to data and cloud infrastructure. ¿ Stay current with emerging trends and technologies in data management and cloud computing. ¿ Work closely with cross functional teams, including IT, development, and operations, to deliver integrated solutions. ¿ Communicate technical concepts and solutions to both technical and non technical stakeholders. ¿ Mentor and train team members on data and cloud best practices and technologies. ¿ Implement robust security measures, including encryption, access controls, and monitoring. ¿ Optimize data storage, processing, and retrieval performance in cloud environments. ¿ Conduct regular performance tuning and capacity planning exercises. ¿ Maintain comprehensive documentation of data and cloud architectures, configurations, and processes. ¿ Generate regular reports on data and cloud performance, usage, and compliance. Requirements: ¿ Bachelor¿s degree in information technology, Computer Science, Data Management, or a related field. ¿ Minimum of 7 10 years of experience in data management and cloud computing. ¿ Proven track record of designing and implementing large scale data and cloud solutions. ¿ Proficiency in cloud platforms such as AWS, Azure, or Google Cloud. ¿ Strong experience with data management technologies (e.g., SQL/NoSQL databases, data warehouses, ETL tools). ¿ Familiarity with big data technologies (e.g., Hadoop, Spark). ¿ Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). ¿ Expertise in data security and compliance practices. ¿ Strong knowledge of database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL, NoSQL databases). ¿ Experience with data integration tools (e.g., Informatica, Talend, Apache NiFi) and ETL processes. ¿ Excellent problem solving skills and attention to detail. ¿ Strong communication skills, with the ability to articulate complex data concepts to non technical stakeholders. ¿ Ability to work collaboratively in a team environment and manage multiple priorities. Preferred Qualifications: ¿ Certifications: Relevant certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Professional Data Engineer. ¿ Additional Skills: Experience with machine learning and artificial intelligence technologies. ¿ Industry Knowledge: Understanding of industry specific data management and cloud requirements. ¿ Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). ¿ Knowledge of data modelling and design