Principal Lakehouse Architect
Principal Lakehouse Architect

Principal Lakehouse Architect

Full-Time 72000 - 108000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the design and implementation of innovative lakehouse data solutions.
  • Company: Simpson Associates, a Microsoft Solutions Partner recognised for positive change.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Why this job: Be a key player in transforming data landscapes with cutting-edge technology.
  • Qualifications: Expertise in lakehouse architectures, data engineering, and strong communication skills.
  • Other info: Join a creative team dedicated to innovation and collaboration.

The predicted salary is between 72000 - 108000 £ per year.

Simpson Associates transforms raw data into actionable insights that drive positive change. Our Microsoft data expertise, our specialist sector knowledge, plus our innovative and trusted advice and guidance are just some of the reasons clients choose to work with us. Our mission is to help purpose‑led organisations from within the public and private sectors to harness data as a lever for change and enable them to realise business value more quickly. We provide the full range of services to support organisations on their data transformation journey.

The Role

We’re looking for a Principal Lakehouse Architect to spearhead innovative data and analytics solutions, with an emphasis on modern lakehouse architectures. You will be the go‑to expert guiding our delivery teams on best practices, frameworks, and accelerators, making sure everything we do is consistent and high quality. This is a hands‑on leadership position where you will blend big‑picture technical strategy with hands‑on technical delivery. Expect to design large‑scale enterprise solutions, mentor the team, and serve as a reliable advisor to clients as they transform their data landscapes.

Key Responsibilities

  • Lead Solution Design: Take charge of architecting and rolling out sophisticated data and analytics platforms using lakehouse architectures on tools like Databricks and Microsoft Fabric.
  • Drive Engineering Standards: Define and implement coding guidelines, CI/CD pipelines, DevOps approaches, and reusable templates.
  • Hands‑On Technical Delivery: Bring your expertise to building secure, governed lakehouse environments, always prioritising data privacy, security, and robust governance.
  • Platform Mastery: Dive deep into leading lakehouse tech, including Databricks (with Delta Lake and Unity Catalog) and Microsoft Fabric.
  • Mentor and Support Teams: Guide delivery teams, help to tackle tricky problems, and enable colleagues to level up their skills.
  • Client Guidance: Be the strategic tech voice for clients, running workshops and bolstering pre‑sales efforts with solid technical insight.
  • Data Architecture: Implement medallion architectures to organise data effectively, boosting reliability, speed, and readiness for analytics.

Skills and Attributes Required

  • In‑depth knowledge of modern lakehouse architectures and key data platforms, particularly Databricks and Microsoft Fabric.
  • Track record in solution architecture for enterprise data and analytics projects.
  • Solid grasp of data engineering, including pipelines (ETL/ELT, streaming, batch) and integration methods.
  • Proficiency in software engineering basics, DevOps, and automation tools (Azure DevOps or GitHub Actions).
  • Hands‑on experience with Microsoft Azure for scalable cloud data solutions.
  • Strong skills in Python, SQL, and Spark for data processing and optimisation.
  • Excellent communication skills to break down complex tech ideas into straightforward terms.
  • A team‑oriented approach with a genuine enthusiasm for pushing boundaries and sharing best practices.

Advantageous Qualifications and Skills

  • Experience prepping lakehouse platforms for AI/ML tasks, such as feature engineering, model training, or hooking up with generative AI.
  • AI/ML tools (e.g., MLflow in Databricks, experiments in Fabric, or Azure ML integration).
  • Background in troubleshooting data quality issues, performance tuning, or cloud migrations.

Principal Lakehouse Architect employer: Simpson Associates

Simpson Associates is an exceptional employer, renowned for its commitment to innovation and collaboration in the data transformation space. With a strong focus on employee growth, we offer opportunities for mentorship and hands-on leadership in cutting-edge projects, all within a supportive work culture that champions creativity. Our offices in York and Sheffield provide a vibrant environment where purpose-led organisations can thrive, making a meaningful impact through data-driven solutions.
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Contact Detail:

Simpson Associates Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal Lakehouse Architect

✨Tip Number 1

Network like a pro! Reach out to your connections in the data and analytics field, especially those who work with lakehouse architectures. A friendly chat can lead to insider info about job openings or even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to Databricks and Microsoft Fabric. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with lakehouse architectures and how you've tackled challenges in past projects.

✨Tip Number 4

Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team at Simpson Associates. Plus, it’s a great way to ensure your application gets noticed!

We think you need these skills to ace Principal Lakehouse Architect

Lakehouse Architectures
Databricks
Microsoft Fabric
Data Engineering
ETL/ELT Pipelines
DevOps
Azure DevOps
GitHub Actions
Python
SQL
Spark
Data Architecture
Communication Skills
Mentoring
Client Guidance

Some tips for your application 🫡

Show Your Passion for Data: When you're writing your application, let your enthusiasm for data and analytics shine through. We want to see how you can transform raw data into actionable insights, just like we do at Simpson Associates!

Tailor Your Application: Make sure to customise your application to highlight your experience with lakehouse architectures and tools like Databricks and Microsoft Fabric. We love seeing how your skills align with our mission and values!

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your technical expertise and how you've tackled challenges in past projects. We appreciate clarity as much as creativity!

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with us at Simpson Associates.

How to prepare for a job interview at Simpson Associates

✨Know Your Lakehouse Inside Out

Make sure you’re well-versed in modern lakehouse architectures, especially Databricks and Microsoft Fabric. Brush up on your knowledge of medallion architectures and be ready to discuss how they can enhance data reliability and speed.

✨Showcase Your Hands-On Experience

Prepare to share specific examples of your hands-on technical delivery. Talk about projects where you’ve implemented CI/CD pipelines or defined coding guidelines, and how these contributed to the success of the project.

✨Communicate Complex Ideas Simply

Practice breaking down complex technical concepts into straightforward terms. This is crucial, as you’ll need to guide clients and mentor teams. Think of examples where you’ve successfully communicated intricate ideas to non-technical stakeholders.

✨Demonstrate Your Team Spirit

Emphasise your collaborative approach and enthusiasm for mentoring others. Be prepared to discuss how you’ve supported colleagues in tackling tricky problems and how you foster a culture of sharing best practices within your team.

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