Data Architect Apply now

Data Architect

Manchester Full-Time 43200 - 72000 £ / year (est.)
Apply now
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At a Glance

  • Tasks: Design and implement innovative data solutions for leading financial services clients.
  • Company: Join Affinity Reply, 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.

About Affinity Reply Glue Affinity is the new, high-growth specialist consulting company in Reply, dedicated to driving Next Gen Architecture, Data Driven Enablement, and Future Transformations. We distinguish ourselves by fostering robust and trusted relationships with our clients, ensuring the successful delivery of their desired outcomes through our proactive and insightful approach Role Overview Glue Affinity Reply are Data Specialists and actively seek to grow and develop our consultants in the delivery of data solutions. Are you passionate about bridging the gap between the Business and IT through the lens of Data? 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. Essential skills & experience Demonstrate a strong understanding of the Financial Services Industry and how a well-designed data architecture can help organisations meet their business objectives Demonstrate extensive knowledge of data architecture principles, including designing scalable, efficient, and secure data systems Expertise in designing and implementing data warehousing solutions, data lakes, and ETL processes, specifically for financial services data Proficiency in data modelling, both logical and physical, familiarity with data normalization and denormalization techniques is essential Strong understanding of cloud-based data solutions and experience with platforms like AWS, Azure, Google Cloud, Snowflake Knowledge of advanced analytics tools, this includes creating dashboards, reports, and analytics that provide actionable insights Knowledge of data governance, data quality management, and data security best practices, with an emphasis on adhering to regulatory standards specific to financial services 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. 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.

Data Architect employer: Reply

At Affinity Reply, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the financial services sector. Our vibrant work culture fosters continuous learning and professional growth, empowering our Data Architects to thrive while delivering impactful data solutions. With a commitment to diversity and inclusion, we ensure that every team member feels valued and supported, making Affinity Reply not just a workplace, but a community dedicated to driving meaningful transformations.
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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 impacted business outcomes 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 passion for the field.

✨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 benefits they brought to your clients.

✨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 decision-making process.

We think you need these skills to ace Data Architect

Data Architecture Principles
Financial Services Industry Knowledge
Data Warehousing Solutions
Data Lakes
ETL Processes
Data Modelling (Logical and Physical)
Data Normalization and Denormalization Techniques
Cloud-Based Data Solutions (AWS, Azure, Google Cloud, Snowflake)
Advanced Analytics Tools
Data Governance
Data Quality Management
Data Security Best Practices
Regulatory Compliance
Excellent Communication Skills
Cross-Functional Collaboration
Proactive Learning of Emerging Technologies

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Data Architect at Affinity Reply. Tailor your application to highlight your relevant experience in data architecture and the financial services industry.

Highlight Relevant Experience: In your CV and cover letter, emphasize your expertise in designing scalable data systems, data warehousing solutions, and cloud-based data platforms. 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 and stakeholders, demonstrate your excellent communication skills. Include examples of how you've effectively communicated technical concepts to non-technical audiences.

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 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 data lakes.

✨Communicate Effectively with Stakeholders

Since collaboration is key in this role, practice articulating complex technical concepts in a way that is understandable to non-technical stakeholders. Prepare examples of how you've successfully aligned data architecture with business goals in previous roles.

✨Stay Updated on Emerging Technologies

Show your proactive approach by discussing recent trends and technologies in data architecture. Mention any relevant certifications or courses you've completed, especially those related to cloud-based solutions like AWS, Azure, or Google Cloud.

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  • Data Architect

    Manchester
    Full-Time
    43200 - 72000 £ / year (est.)
    Apply now

    Application deadline: 2027-01-12

  • R

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