Principal Data Architect in Glasgow

Principal Data Architect in Glasgow

Glasgow Temporary 75600 - 92400 £ / year (est.) No working from home possible
Chemify Limited

At a Glance

  • Tasks: Design and implement data architecture for cutting-edge chemical discovery using AI and robotics.
  • Company: Join Chemify, a pioneering tech company transforming the future of chemistry.
  • Benefits: Competitive salary, direct influence on tech direction, and opportunities for rapid career growth.
  • Other info: Work directly with the CTO in a fast-paced, innovative environment.
  • Why this job: Make a real impact in science and medicine by building scalable digital chemistry infrastructure.
  • Qualifications: Extensive experience in data architecture, Python, SQL, and graph databases.

The predicted salary is between 75600 - 92400 £ per year.

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world’s largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity.

The Role: At Chemify, robots run real chemical experiments around the clock, and every spectrum, video frame, and sensor reading is gathered to decide what to synthesise next. We're bringing in a Principal Data Architect on a focused six-month engagement to set the architecture that turns a firehose of scientific literature and robotic lab data into a clean, governed, ML-ready ecosystem that our scientists and AI models can build on. You’ll define the blueprint and stand up the foundations during the engagement, working closely with our ML and data engineering teams so they can carry it forward. We're looking for someone senior enough to make the right calls quickly and pragmatic enough to deliver real systems in the time allocated.

Scope: You’ll own how data flows across Chemify, including how it's stored, synchronised, governed, and shared, within real regulatory and contractual limits. Concretely, you'll aim to:

  • Set the AI-ready foundation. Partner with our ML and data engineering teams to design ingestion and orchestration that captures scientific and operational data in a form models can use immediately. You’ll define and stand up the initial data Lakehouse on AWS for the raw data coming off our robots, and design a versioned feature store that standardises chemical descriptors so there's a tight loop between lab execution and the discovery AI.
  • Model chemistry as data. Architect graph models for complex reaction networks, define the semantic ontologies that let AI reason across different chemical data types, and design vector search (e.g. pgvector, Pinecone) for similarity lookups across large molecular sets.
  • Design the telemetry pipeline. Specify streaming ingestion for high-frequency robot and sensor data, with zero loss of the "negative data" from failed experiments that's so valuable for training, plus a distributed pattern that keeps local lab "edge" data in sync with central training clusters without sacrificing consistency.
  • Set the governance guardrails. Define the tenancy and partitioning models that guarantee strict IP isolation for enterprise clients, secure sharing patterns for research partners, and the architectural groundwork for SOC 2 and ISO 27001 readiness.

What you’ll bring:

  • Extensive experience as a data architect, with production-grade Python and SQL
  • Deep PostgreSQL experience, ideally on AWS RDS
  • Hands-on work with graph databases and modelling highly relational domains
  • A proven track record designing distributed data systems across multiple teams, services, or locations
  • Demonstrable experience with data governance, data contracts, tenancy and segregation, replication and consistency patterns, and secure cross-organisation data sharing
  • The ability to set direction independently, communicate clearly with both engineers and scientists, and deliver within a fixed timeframe
  • Familiarity with modern data stacks: lakehouses, streaming, batch and real-time pipelines
  • High-throughput telemetry, IoT, or industrial time-series systems
  • Prior involvement in SOC 2 or ISO 27001 programmes
  • Exposure to scientific, chemical, or manufacturing data
  • Chemistry or AI drug-discovery knowledge

Why Join Chemify?

  • Impact: You will help build the infrastructure that enables digital chemistry at scale — accelerating discovery, improving reproducibility, and unlocking new possibilities in science and medicine.
  • Autonomy: Reporting directly to the CTO, you will have meaningful influence over the technical direction and data strategy of a Series B deep-tech rocket ship.
  • Ambition: We are scaling rapidly, investing in world-class infrastructure, and tackling problems that sit at the frontier of robotics, AI, and chemistry. You will have the resources and mandate to build the right foundations for the future.

Principal Data Architect in Glasgow employer: Chemify Limited

At Chemify Limited, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. As a Strategic Projects Leader, you will have the opportunity to collaborate closely with our Executive Leadership Team, driving impactful projects that shape the future of our operations and platform development. We offer a supportive environment that encourages professional growth, continuous learning, and the chance to make a meaningful difference in a fast-paced scale-up setting.

Chemify Limited

Contact Details:

Chemify Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Architect in Glasgow

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We think you need these skills to ace Principal Data Architect in Glasgow

Data Architecture
Python
SQL
PostgreSQL
Graph Databases
Distributed Data Systems
Data Governance

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Chemify Limited, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Chemify Limited, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Chemify Limited’s attention and show the tangible impact of your work.

How to prepare for a job interview at Chemify Limited

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Chemify Limited.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Chemify Limited.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Chemify Limited.