Lead Data Architect

ENGINEERINGUK; East Hampshire, Slough; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in the Food & Nutrition sector is seeking a Food & Nutrition Data Architect to drive data solutions and enhance customer experiences. This role involves designing data architecture and collaborating with cross-functional teams to implement innovative data strategies. Ideal candidates will have strong analytical skills, hands-on experience with cloud data platforms, and a passion for leveraging data to solve business challenges.

Benefits

Access to top-tier learning and development

Competitive salary and benefits, including bonuses

Qualifications

• 2 to 4 years' experience in applied data science, preferably in CPG or retail sectors.
• Hands-on experience designing scalable data platforms in the cloud.
• Proficiency in coding (Python, PL/SQL, Shell Script).

Responsibilities

• Design, develop, optimize, and maintain data architecture aligned with business goals.
• Partner with stakeholders to improve user experience and data analytics design.
• Lead data improvement projects across divisions and markets.

Skills

Data architecture

Analytical skills

Problem-solving

Collaboration

Communication

Learning agility

Negotiation skills

Tools

Azure D&A stack

Databricks

Power BI

ETL tools

Job description

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Employer: Mars
Location: Slough, United Kingdom
Salary: Competitive
Closing date: 17 Jun 2025

Job Description:

The Food & Nutrition Data Architect will be a key driver in transforming the Food & Nutrition (F&N) business segment. Working closely with partners, you will be responsible for data solution design, including Analytics, Visualization, Dashboards, and Operations.

You will bring thought leadership in your domain and collaborate with cross-functional teams to design and implement innovative data solutions that enhance customer experiences, drive revenue, and maintain a competitive edge in the digital marketplace.

Moving to One Enterprise Data Platform for Food is a strategic Mars Food & Nutrition goal. We aim to harness data and insights to solve critical business problems and simplify the global data and analytics user experience, unlocking growth and operational excellence.

What are we looking for?

• Hands-on experience designing scalable, greenfield data platforms in the cloud using Azure D&A stack, Databricks, and Azure OpenAI solutions.
• Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms.
• Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions.
• Experience deploying AI solutions on Azure, GCP, and AWS.
• 2 to 4 years' experience in applied data science, preferably in CPG or retail sectors.
• Experience with SAP MDG/S4 HANA is a plus.
• Proficiency with data visualization tools like Power BI to support decision-making.
• Strong analytical, problem-solving, and strategic thinking skills.
• Excellent collaboration and communication skills, with experience engaging senior management.
• Understanding of business processes and ability to relate technology to business priorities.
• Learning agility and enthusiasm for new technologies.
• Negotiation and influencing skills; ability to work in a matrix organization.

Key Responsibilities:

• Design, develop, optimize, and maintain data architecture, strategies, and pipelines aligned with business goals.
• Define operating models for data and analytics products, supporting business strategy through product roadmaps.
• Partner with stakeholders to improve user experience and data analytics design.
• Ensure data products have clear KPIs and value propositions.
• Execute the F&N data strategy roadmap to enhance data lake and real-time reporting environments.
• Lead data improvement projects across divisions and markets.
• Evaluate and deploy emerging data tools and platforms.
• Develop communication and training plans on analytics capabilities and standards.
• Collaborate with engineers and architects on technical architectures for enterprise projects.
• Expand knowledge in machine learning, data science, AI, and related fields.

What can you expect from Mars?

• Work with diverse, talented colleagues guided by the Five Principles.
• Be part of a purpose-driven company shaping the future.
• Access to top-tier learning and development, including Mars University.
• Competitive salary and benefits, including bonuses.

Mars is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, or other protected characteristics. Assistance or accommodations are available during the application process upon request.

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