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- Tasks: Design and document solutions for monitoring scientific sites, ensuring data consistency and governance.
- Company: Join a team dedicated to environmental science and data integrity.
- Benefits: Enjoy flexible work options and opportunities for professional growth.
- Why this job: Make a real impact on environmental monitoring while working in a collaborative tech environment.
- Qualifications: Experience in data architecture and solution design is essential.
- Other info: Engage with cutting-edge technology and contribute to meaningful projects.
The predicted salary is between 48000 - 72000 £ per year.
Overview:
The Data Architect will play a key role in supporting Architecture Services by delivering essential capabilities to meet specific project requirements and assist DDTS project teams. The primary responsibility will focus on data cleansing, transformation, and migration activities. The Data Architect will also need to navigate unknown variables during the Discovery phase and provide an informed estimate for the migration timeline, considering factors such as potential temporary data repositories prior to system transition, especially with the looming deadline for Tranman’s discontinuation.
- Focus on data cleansing, transformation, and migration for DDTS project teams.
- Analyze Tranman data to identify migration activities (cleansing, restructuring, etc.) and ensure data security compliance.
- Recommend a replacement for Tranman that can be implemented within project timelines.
- Assess IT opportunities for service transformation, including database integration, de-duplication, and automation.
- Collaborate with business resources to define responsibilities during the Discovery phase.
- Review solutions for accessibility audits and identify necessary improvements.
- Provide informed estimates for migration timelines and consider temporary data repository needs before system transition.
Data Architect employer: Vallum Associates
Contact Detail:
Vallum Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarize yourself with the specific scientific interest sites and their monitoring specifications. Understanding the context of the project will help you articulate how your skills align with the objectives during discussions.
✨Tip Number 2
Brush up on your knowledge of data governance and consistency across feature types. Being able to discuss best practices in these areas will demonstrate your expertise and commitment to quality.
✨Tip Number 3
Prepare to discuss your experience with solution design documentation and infrastructure components. Highlighting relevant past projects can showcase your ability to meet the deliverables outlined in the job description.
✨Tip Number 4
Engage with current trends in data architecture, especially regarding security plans and non-functional requirements. Showing that you are up-to-date with industry standards will set you apart from other candidates.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Project Objectives: Make sure to thoroughly understand the project's purpose and objectives. Highlight your experience with monitoring specifications and data governance in your application.
Showcase Relevant Experience: Emphasize your previous work related to solution design, particularly in digitization, survey data collection, and analysis. Use specific examples to demonstrate your expertise.
Detail Your Technical Skills: Clearly outline your technical skills relevant to the role, such as experience with data architecture, interface design, and non-functional requirements. Mention any familiarity with security plans and infrastructure components.
Tailor Your Application: Customize your CV and cover letter to reflect the specific deliverables mentioned in the job description. Make sure to align your language and focus on how you can meet their needs.
How to prepare for a job interview at Vallum Associates
✨Understand the Project Objectives
Make sure you have a clear understanding of the project's goals, especially regarding monitoring Sites of Specific Scientific Interest. Be prepared to discuss how your experience aligns with these objectives.
✨Showcase Your Technical Skills
Be ready to articulate your experience with solution design documentation and the technical components relevant to data governance and survey data collection. Highlight specific tools or methodologies you've used in past projects.
✨Discuss Non-Functional Requirements
Prepare to explain how you would address non-functional requirements, particularly around security and data integrity. Think of examples from your previous work where you successfully implemented such measures.
✨Engagement with Infrastructure Teams
Demonstrate your ability to collaborate with infrastructure teams, like CCOE, for implementation strategies. Share experiences where you led or participated in similar engagements to show your teamwork and leadership skills.
