Data Architect

Requirements:- At least 10 years of experience in IT or Software Engineering - Proven experience as a Data Architect or in a similar role, with a strong track record of designing and implementing transactional and analytical data architectures. - Proficient in data modeling techniques, data integration methodologies, and data management principles. - Extensive knowledge of database systems, modern data warehousing, data lake and data storage technologies. - Experience with cloud-based data platforms and technologies (e.g., Azure, AWS, GCP) is essential. - Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. - Highly detail oriented with excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels. - Familiarity with data governance, data security, and data privacy regulations. - Good understanding of data protection standards and associated security processes.Data Strategy and Architecture:- Develop and maintain the company's data strategy, ensuring alignment with business goals and objectives. - Design, implement, and oversee the overall data architecture, including data integration, data modeling, data storage, and data access.Data Standards and Policies:- Establish, enforce, and maintain data standards, naming conventions, business glossaries, data and report catalogs and data management best practices. - Develop and maintain data policies and procedures to ensure compliance with regulatory requirements.Data Modeling and Design:- Design and create conceptual, logical, and physical data models that meet business requirements and support efficient data management. - Collaborate with business stakeholders, data scientists, and developers to understand data needs and design appropriate data structures.Data Integration and Management:- Define data integration strategies and ensure seamless data flow across systems and applications. - Implement data governance practices, including data quality, data lineage, and data security.Data Storage and Infrastructure:- Optimize data storage and retrieval mechanisms for performance, scalability, and reliability. - Collaboration and Leadership: - Collaborate with cross-functional teams, including developers, business analysts, and project managers, to drive successful data-related initiatives. - Provide technical guidance and mentorship to junior data team members.

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