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Job Description - Senior Data Solutions Designer

Reports To: Head of Data Solutions

About The Role

VMO2 is accelerating its journey to become a data-driven organisation, and we are seeking a Senior Data Solutions Designer to play a key role in shaping our data landscape and empowering employees to leverage data effectively. In this highly technical, hands-on role, you will work closely with the Head of Data Solutions and Business Intelligence & Analytics (BI&A) teams to design, develop, and implement data solutions that support self-service analytics, a hybrid data mesh approach, and a thriving data culture. You will have a strong focus on improving our Business Layer Design, and creating Data Contracts, working across the organisation to establish single sources of truth.

Key Responsibilities

• Solution Design and Implementation:
• Collaborate with business stakeholders and technical teams, especially BI&A, to design and implement data solutions that support self-service analytics and a hybrid data mesh approach, with a strong emphasis on establishing single sources of truth.
• Translate business requirements into technical specifications and data models, ensuring solutions are scalable, performant, and aligned with business needs.
• Take a hands-on approach to solution development, actively participating in design, implementation, and testing activities, with a focus on improving Business Layer Design and the creation of Data Contracts.
• Provide technical expertise and guidance to BI&A teams and other solution designers and development teams, leveraging your deep knowledge of SQL and/or DBT.
• Data Architecture and Standards:
• Contribute to the development and maintenance of data architecture standards, ensuring alignment with VMO2's overall data strategy and enterprise architecture.
• Work with the Data Architecture team to implement a hybrid data mesh, balancing central governance with domain autonomy.
• Promote best practices for data solution development, including data modelling, data integration, and data solution architecture.
• Data Democratisation Enablement:
• Collaborate with the Centre for Enablement (C4E) and Data University to support the development and delivery of data literacy programmes and training materials.
• Promote the adoption of self-service analytics tools and platforms, providing guidance and support to users.
• Support the use of the Data Marketplace (e.g., Atlan) to facilitate data discovery, sharing, and reuse of data solutions and related assets.
• Data Governance and Compliance:
• Work with the Data Governance team to ensure that data solutions adhere to relevant policies and standards, ensuring data quality, security, and compliance.
• Ensure data solutions adhere to regulatory requirements and ethical data practices.
• Promote data lineage and metadata management to ensure transparency and traceability.
• Data Solutions Innovation:
• Stay abreast of industry trends and emerging technologies in data solutions, evaluating their potential to enhance VMO2's data capabilities.
• Research and recommend new data solutions and tools to support evolving business needs and data democratisation initiatives.
• Participate in BI tool decommissioning activities, providing technical expertise and guidance.
• Qualifications and Experience
• Extensive hands-on experience as a Solution Designer, Data Solution Architect or Data Designer, with a strong understanding of enterprise architecture principles.
• Deep understanding of data management concepts, including data modelling, data integration, data warehousing, and data governance.
• Proven experience with data mesh architecture, data as a product principles, and self-service analytics enablement, including experience with hybrid data mesh implementations.
• Extensive hands-on experience with data modelling tools, data integration technologies, and cloud-based data platforms.
• Expertise in SQL and/or DBT, with a proven track record of designing and implementing single sources of truth.
• Familiarity with data catalogue tools (e.g., Atlan), data governance frameworks, and data privacy regulations.
• Excellent communication, interpersonal, and stakeholder management skills.
• Ability to work effectively in a cross-functional and agile environment.
• Passion for data and its potential to drive business value.