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- Tasks: Develop a comprehensive data model and support airport operational projects.
- Company: Join a leading organization focused on enhancing airport data management.
- Benefits: Enjoy hybrid work options and the chance to shape data governance practices.
- Why this job: Be part of impactful projects that improve data integration and decision-making.
- Qualifications: Extensive experience in data architecture and governance is required.
- Other info: Work collaboratively with cross-functional teams and industry standards.
The predicted salary is between 54000 - 84000 £ per year.
Enterprise Data Architect Duration: 6 months IR35: Outside IR35 Location: Manchester or Stanstead (Hybrid 2-3 days a week on site) We are looking for an experienced data architect who will develop a _data model_ based on industry standards such as ACRIS, to provide data consumers with a clear understanding of the context and information being provided, and to help improve their data management processes. This work will initially support the Airport Operational Plan (AOP) and Airport Operational Database (AODB) renewal projects, which need to integrate data from various airport systems into a single consolidated view. Key deliverables: • Create a comprehensive Data Model framework artifact that defines the data domains, entities, and relationships at an enterprise scale. • Align the data model, where appropriate, with industry standard models such as ACRIS to enable integration and understanding by data consumers. • Provide data modelling and architecture expertise to support the Airport Operational Plan (AOP) and Airport Operational Database (AODB) renewal project, ensuring the data model meets both projects requirements. • Work under the guidance of the Enterprise Data Model Forum to ensure alignment with the organisations broader data strategy and standards. Additional responsibilities: • Define robust Data Governance practices for the organisation, encompassing: • Data Lineage: Track the origin, transformations, and movement of data to ensure transparency. • Data Ownership and Stewardship: Define clear roles and responsibilities for data quality, accuracy, and reliability. • Data Quality: Establish processes to ensure data is accurate, consistent, and complete to support better decision-making. • Data Security & Privacy: Implement controls to prevent unauthorized access and misuse of sensitive data. • Data Classification: Categorise data based on sensitivity to inform appropriate security measures. • Data Retention Policies: Define rules for data retention, archiving, and deletion based on legal, compliance, and business requirements. • Define Data Precedence Rules and Master Data Management (MDM) processes to resolve conflicts between data sources. • Establish Change Management and Version Control processes for handling changes to data structures, schemas, and data-related workflows Knowledge, Experience and Skills: • Extensive experience as an Enterprise Data Architect, with a proven track record of delivering complex data modelling and governance initiatives. • Deep understanding of data management principles, including data lineage, data ownership, data quality, security, and retention. • Familiarity with industry standard data models, and the ability to adapt and extend them as needed. • Strong analytical and problem-solving skills, with the ability to translate business requirements into effective data solutions. • Excellent communication and stakeholder management skills, able to collaborate effectively with cross-functional teams. • Knowledge of data integration techniques, data warehousing, and business intelligence tools. • Experience working with and contributing to an Enterprise Data Model Forum or similar governance structure
Enterprise Data Architect employer: Morson Talent
Contact Detail:
Morson Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect
✨Tip Number 1
Familiarize yourself with industry standards like ACRIS and other relevant data models. Understanding these frameworks will not only help you in your role but also demonstrate your commitment to aligning with best practices during the interview.
✨Tip Number 2
Highlight your experience with data governance practices, especially in areas like data lineage and data quality. Be prepared to discuss specific examples of how you've implemented these practices in previous roles.
✨Tip Number 3
Showcase your analytical and problem-solving skills by preparing to discuss how you've translated complex business requirements into effective data solutions. Use real-world scenarios to illustrate your thought process.
✨Tip Number 4
Emphasize your communication and stakeholder management abilities. Be ready to share experiences where you've successfully collaborated with cross-functional teams, as this is crucial for the role.
We think you need these skills to ace Enterprise Data Architect
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Enterprise Data Architect position. Understand the key deliverables and responsibilities, as well as the required skills and experience. Tailor your application to highlight how your background aligns with these requirements.
Highlight Relevant Experience: In your CV and cover letter, emphasize your extensive experience as an Enterprise Data Architect. Provide specific examples of complex data modeling and governance initiatives you have successfully delivered, particularly those that align with the responsibilities outlined in the job description.
Showcase Your Skills: Clearly demonstrate your understanding of data management principles, including data lineage, ownership, quality, security, and retention. Use concrete examples to illustrate your analytical and problem-solving skills, especially in translating business requirements into effective data solutions.
Communicate Effectively: Since excellent communication and stakeholder management skills are crucial for this role, ensure your application reflects your ability to collaborate effectively with cross-functional teams. Consider including examples of past collaborations or projects where you successfully engaged with various stakeholders.
How to prepare for a job interview at Morson Talent
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience with data modelling frameworks and how you've applied industry standards like ACRIS in previous projects. Highlight specific examples where your data models improved data management processes.
✨Demonstrate Understanding of Data Governance
Familiarize yourself with key data governance concepts such as data lineage, ownership, and quality. Be ready to explain how you have implemented these practices in past roles and how they can benefit the organization.
✨Communicate Effectively with Stakeholders
Since this role involves collaboration with cross-functional teams, practice articulating complex data concepts in a way that non-technical stakeholders can understand. Share examples of how you've successfully managed stakeholder expectations in previous projects.
✨Prepare for Problem-Solving Scenarios
Expect to face analytical challenges during the interview. Brush up on your problem-solving skills and be ready to walk through your thought process when translating business requirements into data solutions.
