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For Companies At a Glance
- Tasks: Lead the design and implementation of innovative data architectures and analytics solutions.
- Company: Join Allvue Systems, a pioneer in fintech revolutionising alternative investments.
- Benefits: Enjoy competitive pay, flexible PTO, health coverage, and professional development opportunities.
- Why this job: Make a real impact by driving data strategies and collaborating with cross-functional teams.
- Qualifications: 10+ years in data architecture, expertise in AWS/Azure, and strong leadership skills.
- Other info: Dynamic work environment with a focus on continuous improvement and team collaboration.
The predicted salary is between 80000 - 100000 £ per year.
About Allvue
We are Allvue Systems, the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules, Allvue helps eliminate the boundaries between systems, information, and people. We’re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals. Working at Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether you’re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We want all of our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team that’s revolutionizing the alternative investment industry. Define your own future with Allvue Systems!
Job Summary
As the Enterprise Architect – Data & Analytics, you will play a pivotal role in driving our Data & Analytics (D&A) strategy and ensuring the successful design and implementation of scalable data architectures that support both analytics and AI across our Azure and AWS environments. You will be responsible for and focus on ensuring that our data platforms and AI models are integrated seamlessly into our technology stack, while fostering a culture of reusability, scalability, and innovation. The ideal candidate will have technical expertise in both cloud-native and legacy data systems, with a proven ability to collaborate with cross-functional teams and deliver data-driven solutions that meet business needs.
Responsibilities
- Lead the design, implementation, and management of Allvue’s data architecture and analytics framework.
- Establish best practices for data modelling, data warehousing, and data governance.
- Lead the development and deployment of advanced analytics solutions, including predictive and prescriptive analytics.
- Lead efforts to modernize data systems, transitioning from on-prem legacy architectures to cloud native data lakes, warehouses, and advanced analytics platforms.
- Collaborate with the Head of AI Architecture, data scientists, engineers, and business stakeholders to ensure that AI models and data platforms are aligned with business goals and deliver measurable outcomes.
- Foster a product engineering mindset within the data architecture and engineering teams, ensuring that data solutions are built with reusability, flexibility, and scalability in mind.
- Implement best practices for data governance, security, and compliance, ensuring that all data architectures meet regulatory requirements and protect sensitive information.
- Oversee the integration of DevOps practices into data pipelines and AI solution deployment, ensuring automation, efficiency, and continuous improvement across Allvue’s data ecosystem.
- Communicate complex technical architectures and data strategies to senior leadership, ensuring alignment with broader enterprise architecture and business objectives.
Requirements
- At least ten years experience designing and architecting large-scale, data solutions.
- Proven track record of designing and implementing enterprise-level data architecture solutions.
- Proven expertise in AWS and/or Azure services, Snowflake (or similar), relational databases, documents stores, key value stores, streaming and messaging systems, Lakehouse architecture, data warehouses, ETL pipelines, and AI/ML frameworks.
- Strong experience with AWS and/or Azure cloud-based data architectures, including data storage, processing and AI integration.
- Expertise in data governance, ensuring compliance with regulatory standards and implementing robust security practices across both cloud and legacy environments.
- Experience integrating DevOps practices into data pipelines, ensuring automation, efficiency, and continuous delivery of data-driven solutions.
Education/Certifications
Master's or Ph.D. in computer science, data science, or a related field is required.
What We Offer
- Health Coverage options along with other voluntary benefits.
- Enterprise Udemy membership with access to thousands of personal and professional development courses.
- 401K with Company match up to 4% or Employee Pension plan.
- Competitive pay and year-end bonus potential.
- Flexible PTO.
- Charitable Donation matching, along with Volunteer and Voting PTO.
- Numerous team building activities to promote collaboration in a fun and fast-paced work environment.
Principal Enterprise Architect, Data & Analytics in London employer: AltaReturn
Contact Detail:
AltaReturn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Enterprise Architect, Data & Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Allvue Systems on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can discuss your experience with AWS, Azure, and data architecture confidently. We want to see your passion for data and analytics shine through!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss how you've tackled challenges in past projects, especially those involving data governance and cloud integration. We love candidates who can think on their feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Allvue Systems.
We think you need these skills to ace Principal Enterprise Architect, Data & Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Enterprise Architect role. Highlight your experience with data architecture, cloud services, and any relevant projects that showcase your skills in AWS or Azure.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and analytics, and how your background aligns with our mission at Allvue. Be sure to mention specific achievements that demonstrate your expertise.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. Mention your experience with data governance, AI integration, and any tools or frameworks you’ve worked with. We love seeing how you can contribute to our innovative environment!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at AltaReturn
✨Know Your Data Inside Out
As a Principal Enterprise Architect, you’ll need to demonstrate your deep understanding of data architectures. Brush up on your knowledge of AWS and Azure services, Snowflake, and other relevant technologies. Be ready to discuss how you've successfully designed and implemented large-scale data solutions in the past.
✨Showcase Your Collaboration Skills
Collaboration is key in this role, so prepare examples of how you've worked with cross-functional teams. Highlight instances where you’ve aligned data strategies with business goals, and be ready to explain how you fostered a culture of innovation and reusability within your teams.
✨Prepare for Technical Questions
Expect technical questions that dive into your experience with data governance, compliance, and security practices. Brush up on best practices for data modelling and warehousing, and be prepared to discuss how you’ve integrated DevOps into data pipelines to enhance efficiency and automation.
✨Communicate Clearly and Confidently
You’ll need to communicate complex technical concepts to senior leadership, so practice explaining your ideas clearly and concisely. Use real-world examples to illustrate your points, and ensure you can articulate how your data strategies align with broader business objectives.