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Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements.
Define and implement data governance policies, procedures, and frameworks to ensure data integrity and compliance.
Collaborate with stakeholders to align data strategy with business goals and objectives, document current and target state in the form of business process and data journey diagrams.
Design and develop conceptual, logical, and physical data models that meet business requirements and align with the overall data strategy.
Define data standards, naming conventions, and data classification guidelines. Ensure data models are scalable, efficient, and optimized for performance.
Evaluate and select appropriate database technologies and solutions based on organizational needs and requirements.
Design and oversee the implementation of data platforms, including relational databases, NoSQL databases, data warehousing, and Big Data solutions.
Optimize database performance, ensure data security, and implement backup and recovery strategies.
Design data integration solutions, including Extract, Transform, Load (ETL) processes and data pipelines, document source to target mappings.
Collaborate with IT team and data experts to identify opportunities for data acquisition.
Understand and follow data architecture patterns for various types of data systems, e.g. data lake platforms, master data management systems, ML enriched data flows.
Implement data profiling and data cleansing processes to identify and resolve data quality issues.
Establish data quality standards and implement processes to measure, monitor, and improve data quality.
Facilitate discussions and workshops to gather requirements and align data initiatives with business goals, prepare data inventory documentation.
Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
Stay abreast of industry trends and emerging technologies in data management, analytics, and security.
Evaluate and recommend new tools, technologies, and frameworks to enhance data architecture capabilities.
Provide guidance and support to developers and other team members on data-related topics.
Conduct knowledge sharing sessions and training programs to promote understanding and adoption of data architecture best practices.