At a Glance
- Tasks: Lead data privacy design and develop strategic data architecture goals.
- Company: Enstar Group is a global insurance leader focused on managing run-off portfolios.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Join a culture that values entrepreneurial spirit and teamwork while making a real impact.
- Qualifications: Requires certifications in Azure, Snowflake, and a degree in computer science or related fields.
- Other info: We prioritise diversity and inclusivity, ensuring an accessible recruitment experience.
The predicted salary is between 60000 - 84000 ÂŁ per year.
Work closely with the Privacy team to lead the design of data privacy and protection, and own the technical solution going forward. Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders. Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap. Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity. Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement. Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks. Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving. Ensure that data strategies and architectures are in regulatory compliance.
Acquisition & Deployment
Ensure the success of enterprise-level application rollouts (e.g. ERP, SCM, CRM, SAP, PeopleSoft, etc.). Liaise with vendors and service providers to select the products or services that best meet company goals. Design privacy data architecture which follows privacy retention standards. Own the data obfuscation solution which will be applied across the estate. Design blueprint data architectures, aligned to business function on both cloud and on-premise environments. Develop and promote data management methodologies and standards, which may be executed. Select and implement the appropriate tools, software, applications, and systems to support data technology goals. Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality. Collaborate with project managers and business unit leaders for all projects involving enterprise data. Address data-related problems in regard to systems integration, compatibility, and multiple-platform integration.
What you will bring:
- Certifications in Azure, and data virtualization tooling.
- Certification in Snowflake.
- This is a hands-on position in data architecture and design focused on data privacy, and will require a degree of data modelling and engineering.
- It is important the architecture understands data modelling standards and practices.
- They need to know GDPR and privacy regulations, and have applied automation processes when considering stale data.
- Domain experience in reinsurance, actuarial or finance would be an advantage.
- Knowledge and experience across Data Privacy and Protection, Data modelling, Data engineering, Analytics, Cloud Engineering, Data virtualization.
- College diploma or university degree in computer science, information systems, or computer engineering.
- Consulting mindset, who is comfortable working with our business, along with external vendors.
Who we are:
Enstar Group Limited (“Enstar” or “EGL”) is a leading global insurance group. Through our network of group companies, we help others – principally other insurance companies – release capital by taking over liability portfolios which no longer make strategic sense for them to hold. We create value by better managing these “run-off” insurance portfolios and strive to generate attractive risk-adjusted returns from our investment portfolio. Enstar’s solutions allow our partners to release capital, dispose of non-core businesses and portfolios, achieve early finality on legacy insurance contracts and manage claims volatility. In return, Enstar drives earnings through savings arising from our technical excellence and from investment earnings on the reserves we hold.
Equal Opportunities at Enstar:
Our annual Inclusivity Index puts Enstar ahead of the industry in terms of diversity and inclusivity. At Enstar, we value all types of diversity. We’re an equal opportunity employer and believe that our diversity creates an authentic working culture. We don’t discriminate on the basis of age, physical or mental disability, gender reassignment, marriage and civil partnership, pregnancy and carer status, race (including colour, nationality, and ethnic or national origin), religion or belief, sex and sexual orientation. Enstar is committed to providing an accessible recruitment experience for all those interested in working with us. Please let your Enstar Recruitment Partner know if you require any reasonable accommodation during the application process due to a disability to enable you to fully participate in our recruitment process.
Enterprise Data Architect London, Agile employer: Enstar Group
Contact Detail:
Enstar Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Data Architect London, Agile
✨Tip Number 1
Familiarise yourself with the latest data privacy regulations, especially GDPR, as this role heavily focuses on compliance. Being able to discuss how you've applied these regulations in past projects will demonstrate your expertise.
✨Tip Number 2
Showcase your hands-on experience with data architecture and design by preparing examples of previous projects where you implemented data management methodologies. This will help you stand out as a practical candidate.
✨Tip Number 3
Network with professionals in the insurance and data architecture fields. Engaging with industry peers can provide insights into the role and may even lead to referrals, which can significantly boost your chances.
✨Tip Number 4
Be prepared to discuss your experience with cloud technologies and data virtualisation tools like Azure and Snowflake. Highlighting your technical skills in these areas will align well with the job requirements.
We think you need these skills to ace Enterprise Data Architect London, Agile
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture, privacy regulations, and any specific tools mentioned in the job description, such as Azure and Snowflake. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data privacy and protection. Mention specific projects or experiences that demonstrate your ability to lead data architecture initiatives and collaborate with stakeholders.
Showcase Relevant Certifications: Clearly list your certifications in Azure, Snowflake, and any other relevant qualifications. This will help demonstrate your expertise and commitment to the field of data architecture and privacy.
Highlight Problem-Solving Skills: Provide examples of how you've addressed data-related challenges in previous roles. Discuss your approach to ensuring data quality, compliance, and successful application rollouts, as these are key aspects of the role.
How to prepare for a job interview at Enstar Group
✨Understand Data Privacy Regulations
Make sure you have a solid grasp of GDPR and other data privacy regulations. Be prepared to discuss how these regulations impact data architecture and the strategies you've implemented in previous roles to ensure compliance.
✨Showcase Your Technical Skills
Highlight your certifications in Azure and Snowflake, as well as your experience with data modelling and engineering. Be ready to provide examples of how you've used these skills to solve complex data challenges in past projects.
✨Demonstrate Strategic Thinking
Discuss your experience in developing long-term data architecture visions and tactical solutions. Share specific examples of how you've aligned data strategies with business goals and collaborated with stakeholders to achieve success.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you've addressed data-related issues, such as systems integration or data quality challenges, and be ready to explain your approach.