Azure Data Architect - freelance

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Tasks

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Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements.

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Define and implement data governance policies, procedures, and frameworks to ensure data integrity and compliance.

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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.

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Design and develop conceptual, logical, and physical data models that meet business requirements and align with the overall data strategy.

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Define data standards, naming conventions, and data classification guidelines. Ensure data models are scalable, efficient, and optimized for performance.

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Evaluate and select appropriate database technologies and solutions based on organizational needs and requirements.

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Design and oversee the implementation of data platforms, including relational databases, NoSQL databases, data warehousing, and Big Data solutions.

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Optimize database performance, ensure data security, and implement backup and recovery strategies.

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Design data integration solutions, including Extract, Transform, Load (ETL) processes and data pipelines, document source to target mappings.

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Collaborate with IT team and data experts to identify opportunities for data acquisition.

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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.

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Implement data profiling and data cleansing processes to identify and resolve data quality issues.

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Establish data quality standards and implement processes to measure, monitor, and improve data quality.

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Facilitate discussions and workshops to gather requirements and align data initiatives with business goals, prepare data inventory documentation.

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Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

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Stay abreast of industry trends and emerging technologies in data management, analytics, and security.

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Evaluate and recommend new tools, technologies, and frameworks to enhance data architecture capabilities.

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Provide guidance and support to developers and other team members on data-related topics.

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Conduct knowledge sharing sessions and training programs to promote understanding and adoption of data architecture best practices.

Requirements

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At least 6 years of professional experience in the Data & Analytics area

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Proven experience as a Data Architect or in a similar role, ideally in a complex organizational setting.

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Strong understanding of data management principles, data modeling techniques, database design and data integration flows.

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Experience in developing and implementing data governance policies, procedures, and frameworks to ensure data integrity and compliance.

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Familiarity with industry best practices and emerging trends in data management and governance.

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Ability to design and develop conceptual, logical, and physical data models that meet business requirements and align with the overall data strategy.

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Strong understanding of data modeling best-practices, e.g. data normalization, denormalization, generalization, and performance optimization techniques.

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Expertise in working with various database technologies, such as relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).

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Knowledge of database management systems, data war