At a Glance
- Tasks: Design a robust data architecture for impactful sustainability initiatives.
- Company: Join Systemiq, a B Corp dedicated to transforming markets for sustainability.
- Benefits: Enjoy remote work flexibility and opportunities for personal development.
- Other info: Diversity and inclusion are core values; we support all backgrounds and life stages.
- Why this job: Shape a flagship data system that drives systemic change in collaboration with industry leaders.
- Qualifications: 5+ years in data architecture with strong analytical and communication skills required.
The predicted salary is between 48000 - 84000 £ per year.
Join to apply for the Senior Data Architect role at Systemiq Ltd.
Join to apply for the Senior Data Architect role at Systemiq Ltd.
Company Description Systemiq is a system-change company committed to achieving the Sustainable Development Goals and the Paris Agreement by transforming markets and business models in five key systems: nature and food, materials and circularity, energy, urban areas, and sustainable finance. As a certified B Corp, we combine strategic advisory with high-impact, on-the-ground work, partnering with business, finance, policy-makers, and civil society to deliver system change. Since our start in 2016, we have grown to more than 350 people working across locations in Brazil, Germany, France, Indonesia, Netherlands, UK and the US. We are a pure-play sustainability-focused company, dedicated exclusively to sustainability projects.
What We Do Systemiq orchestrates system change in clean energy, circular material solutions, and sustainable land use. This involves re-imagining industries, re-configuring the energy world, and regenerating ecosystems to address systemic failures, unlocking economic opportunities that benefit business, society, and the environment.
Role Overview
We are seeking an experienced Data Systems Architect to scope and design a robust, centralised data architecture for a large-scale, multi-stakeholder initiative. The role involves mapping existing data flows, assessing system capabilities, and designing an integrated future-state architecture that meets both operational and strategic requirements.
Key Responsibilities
Data Landscape Assessment
- Conduct stakeholder interviews to identify current data sources, workflows, and platforms.
- Map existing data flows and assess data quality, governance, and accessibility.
- Benchmark existing tools and systems against best-practice solutions in similar ecosystems.
Future-State System Design
- Define an ideal data architecture that enables seamless integration, governance, and analytics.
- Create high-level design documentation aligned with strategic goals and operational needs.
- Recommend approaches for interoperability, scalability, and security.
Business Requirements & Procurement Support
- Translate user needs into clear, prioritised technical and functional requirements.
- Contribute to the development of an RFP to engage a qualified system developer.
- Advise on vendor evaluation criteria and selection processes.
Stakeholder Engagement
- Facilitate alignment across technical and non-technical stakeholders.
- Build consensus on requirements, timelines, and governance models
Required Skills & Experience
- 5+ years’ experience in designing and implementing data system architecture.
- Proven track record in multi-stakeholder data governance, access control, and interoperability.
- Proficiency in API integration and data exchange standards.
- Strong analytical, problem-solving, and communication skills.
- Business/Native Fluency in English.
- Experience with Agri-commodity supply chain, sustainability, or field-level data collection systems.
- Understanding of GIS, traceability, or certification systems.
- Proficiency in additional languages. Ie French particularly welcome
- Commitment: 70–100% (25–40 hrs/week), approx. 3 months with potential extension.
- Location: Remote with potential for travel as required.
This job offers unique opportunities for personal development and impact.
- Working for Systemiq collaboratively with many key industry partners
- Developing a new data system that aspires to become a flagship solution in the commodity supply chains
Why Join Us
This role offers a unique opportunity to design a flagship data system for a high-impact initiative, working alongside a passionate, multidisciplinary team. You will help shape a solution that drives systemic change and sets a benchmark for digital infrastructure in complex, collaborative ecosystems.
Diversity & Inclusion
At Systemiq, we believe that diversity and inclusion are crucial to system change and our mission. We are committed to:
- Embedding diverse and inclusive practices in all aspects of our work, including recruitment, performance management, and people processes and policies.
- Providing a supportive environment where everyone can be themselves and perform at their best, regardless of background, personality, gender, sexual orientation, race, mental health, religion, or other characteristics.
- Supporting our people through all life stages, accommodating personal priorities, and promoting a sustainable approach to work and life.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Contract
Job function
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Job function
Consulting and Supply Chain
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Industries
Business Consulting and Services, Strategic Management Services, and Environmental Services
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Senior Data Architect employer: Systemiq Ltd.
At Systemiq, we pride ourselves on being an exceptional employer dedicated to fostering a culture of sustainability and inclusivity. Our global team thrives in a collaborative environment that encourages professional growth and innovation, offering unique opportunities to lead impactful financial initiatives across diverse international markets. With a commitment to employee development and a focus on meaningful work, joining us as a Financial Controller means becoming part of a mission-driven organisation that values creativity, challenge, and care.
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We think this is how you could land Senior Data Architect
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We think you need these skills to ace Senior Data Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Systemiq Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Systemiq Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Systemiq Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.