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- Tasks: Design and implement innovative data solutions for leading financial services clients.
- Company: Join Glue Affinity, a high-growth consulting company focused on Next Gen Architecture and Data Driven Enablement.
- Benefits: Enjoy a diverse workplace with equal opportunities and a commitment to innovation.
- Why this job: Bridge the gap between Business and IT while making a real impact in the financial services industry.
- Qualifications: Strong understanding of data architecture principles and experience in financial services required.
- Other info: Proactive approach to emerging technologies and a collaborative work environment.
The predicted salary is between 43200 - 72000 £ per year.
Career Opportunities: Data Architect – Affinity Reply (10503)
Requisition ID10503 -Posted – Years of Experience (2) –Consulting – Where (1) –Job
Affinity Reply is a leading uk based architecture consultancy focused exclusively on optimising IT/Business alignment and minimising the cost of business and technology change. We distinguish ourselves by fostering trusted client relationships, ensuring successful outcomes through our proactive and insightful approach. To meet the growing demands of our clients, we are looking for exceptional individuals passionate about driving digital transformation and delivering outstanding results .
Role Overview:
We are seeking a seasoned Data Architect to join our team and partner with leading financial services clients. You will leverage your deep understanding of the financial services industry and data architecture expertise to design and implement innovative solutions that empower clients to leverage their data as an asset. In this role, you will collaborate with clients to assess their data needs, design data architectures, and develop roadmaps aligned to their business and data strategy. You\’ll be responsible for translating business requirements into technical solutions, ensuring the architecture is aligned to business goals while considering regulatory compliance.
Responsibilities:
- Designing and implementing data models that effectively represent the structure of data and support business processes
- Overseeing the database management systems (DBMS) and ensuring optimal performance, scalability, and security of databases
- Developing strategies for data integration from various sources, ensuring data consistency and quality across systems
- Creating and maintaining the overall data architecture strategy, including selecting appropriate technologies and frameworks
- Establishing data governance policies to ensure compliance with data regulations and standards, and managing data ownership and access controls
- Working closely with stakeholders, including business analysts, developers, and IT teams, to understand data requirements and provide solutions
- Monitoring data systems and their performance, identifying areas for improvement, and implementing necessary changes to enhance efficiency and reliability
About the candidate:
- Strong understanding of cloud-based data solutions and experience with platforms like AWS, Azure, Google Cloud, Snowflake
- Proficiency in data modelling, both logical and physical, familiarity with data normalization and denormalization techniques is essential
- Demonstrate a strong understanding of the Financial Services Industry and how a well-designed data architecture can help organisations meet their business objectives
- Excellent communication skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and business leaders in the financial services industry.This includes aligning data architecture with organizational objectives and leveraging data for strategic decision-making
- Experience with Data Quality Rules, DQ Dimensions and hands on experience of triaging and resolution processes
- A proactive approach to staying updated with emerging technologies, trends, and best practices in data architecture and Microsoft technologies, applying this knowledge to innovate and enhance data-driven strategies in financial services
Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.
Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
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Data Architect employer: Reply
Contact Detail:
Reply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Make sure to showcase your understanding of the financial services industry during your conversations. Highlight specific examples where your data architecture solutions have directly contributed to business objectives in this sector.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in data architecture, especially those relevant to financial services. Being able to discuss emerging tools and methodologies will demonstrate your proactive approach and commitment to innovation.
✨Tip Number 3
Prepare to discuss your experience with cloud-based data solutions like AWS, Azure, or Google Cloud. Be ready to explain how you've implemented these technologies in past projects and the impact they had on data management and analytics.
✨Tip Number 4
Emphasize your communication skills and ability to collaborate with cross-functional teams. Share examples of how you've successfully aligned data architecture with business goals and engaged stakeholders in the financial services industry.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of a Data Architect at Glue Affinity Reply. Tailor your application to highlight your relevant experience in data architecture, especially within the financial services sector.
Highlight Relevant Experience: In your CV and cover letter, emphasize your expertise in designing scalable data systems, data warehousing solutions, and cloud-based platforms like AWS or Azure. Provide specific examples of how you've successfully implemented data solutions in previous roles.
Showcase Communication Skills: Since the role requires collaboration with cross-functional teams, demonstrate your excellent communication skills. Include examples of how you've effectively worked with stakeholders to align data architecture with business goals.
Tailor Your Application: Customize your cover letter to reflect your passion for bridging the gap between Business and IT through data. Mention your proactive approach to staying updated with emerging technologies and how this can benefit Glue Affinity Reply.
How to prepare for a job interview at Reply
✨Showcase Your Financial Services Knowledge
Make sure to highlight your understanding of the financial services industry during the interview. Discuss how a well-designed data architecture can help organizations achieve their business objectives, and provide examples from your past experiences.
✨Demonstrate Data Architecture Expertise
Be prepared to discuss your extensive knowledge of data architecture principles. Talk about your experience in designing scalable, efficient, and secure data systems, and share specific projects where you implemented data warehousing solutions or ETL processes.
✨Communicate Effectively with Stakeholders
Since this role involves collaboration with cross-functional teams and stakeholders, practice articulating complex technical concepts in a way that is understandable to non-technical audiences. Highlight your communication skills and provide examples of successful collaborations.
✨Stay Updated on Emerging Technologies
Show your proactive approach to staying informed about emerging technologies and trends in data architecture. Discuss any recent developments you've learned about and how you plan to apply this knowledge to innovate data-driven strategies in financial services.
