Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role and Responsibilities

• Contribute to the development of the organization's data strategy, outlining the roadmap for how data will be utilized to achieve business goals
• Developing and designing data models that define how data will be stored, processed, and accessed.
• Creating conceptual, logical, and physical data models that represent the data's structure and relationships.
• Creation and management of abstract representations of the organizational data, which facilitates comprehensive and efficient data management, ensuring all designed solutions align with both the immediate and evolving data needs of the business.
• Designing solutions to integrate data from various sources within the organization. This involves ensuring that data from different systems can be combined and used cohesively.
• Provide insight into the changing database storage and utilization requirements for the company and offer suggestions for solutions
• Implementing security measures to safeguard sensitive data from unauthorized access, ensuring data privacy, and compliance with relevant regulations.
• Design, implement, and manage data security frameworks that align with regulatory compliances like GDPR, HIPAA, or CCPA and ensure a resilient fortress around the data assets.
• Ensure communication and interaction are seamless enabling a unified and consolidated view that drives intelligent business actions.
• Develop database design and architecture documentation for the management and executive teams
• Establishing data governance frameworks and policies within the organization.
• Define data quality standards, data stewardship processes.
• Optimizing data systems for improved performance, ensuring that data can be accessed and processed efficiently.
• Analysing query performance, optimizing databases, and ensuring frictionless data flow.
• Establishing data governance frameworks and standards to ensure data quality, consistency, and compliance with data-related policies and regulations.
• Help in selecting appropriate database management systems, data storage solutions, and other technologies that align with the organization's needs and future scalability requirements.
• Planning and overseeing data migration processes when transitioning to new data systems or platforms.
• Crafting comprehensive data migration plans that encompass mapping data between the source and target systems, validating data quality, ensuring its integrity, and overseeing the safe and accurate transfer of data.
• Staying up-to-date with the latest advancements in data technologies to help continuously improve data architecture and ensure its relevance and effectiveness.
• Identifying and mitigating risks related to data management and security

• You'll have access to all the technical and management training courses you need to become the expert you want to be
• You'll learn directly from expert developers in the field; our team leads love to mentor
• You have the opportunity to work in many different areas to figure out what really excites you

• Having 12+ years of experience in building complex data management solutions and delivery across various technologies and domains
• Data Speciality certification in AWS cloud with experience in delivering Data platform and data governance projects on AWS cloud
• Experience in Hadoop, Spark, Scala, Python
• Understanding of data warehouse concepts, structures, and best practices.
• Implementing and maintaining data warehousing solutions.
• Familiarity with cloud platforms and services like AWS, Azure, or Google Cloud.
• Ability to design and deploy data solutions in a cloud environment.
• Proficiency with different database technologies (SQL, NoSQL, etc.).
• Familiarity with various database management systems like MySQL, Oracle, and SQL Server.
• Ability to create conceptual, logical, and physical data models.
• Knowledge of data modelling tools like ERWin, IBM Data Architect, and other similar tools
• Designing and implementing ETL processes and workflows.
• Knowledge of ETL tools like Talend, Apache Nifi, or Microsoft SSIS.
• Working knowledge of big data technologies like Hadoop, Spark, and others.
• Experience with data storage solutions like HBase, Cassandra, and MongoDB.
• Ensuring data security, privacy, and compliance with relevant regulations.
• Implementing data encryption, masking, and auditing techniques
• Implementing data quality frameworks and validation processes.
• Knowledge of data-related regulations and standards in the relevant industry.
• Creating clear and comprehensive documentation related to data architectures, systems, and processes.
• Effectively communicating complex data concepts to non-technical stakeholders.
• Collaborating with various departments and IT teams to align data strategies with organizational needs.
• Continually enhancing skills through training, certifications, and other learning opportunities

• None