Lead Data Architect

Mars, Incorporated and its Affiliates; Slough; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading company in the Food & Nutrition sector is seeking a Data Architect to drive innovative data solutions. The role involves designing scalable data platforms, collaborating with cross-functional teams, and enhancing customer experiences. Join a purpose-driven organization committed to operational excellence and growth.

Benefits

Competitive salary

Bonuses

Access to learning resources

Qualifications

• 2-4 years of experience in data science roles or similar.
• Hands-on experience designing scalable data platforms.

Responsibilities

• Design and maintain data architecture aligned with business goals.
• Lead data improvement projects across divisions and markets.

Skills

Data Architecture

Analytical Skills

Problem Solving

Collaboration

Communication

Learning Agility

Tools

Azure

Python

Power BI

Informatica

Job description

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 implement innovative data solutions that enhance customer experience, drive revenue, and maintain a competitive edge in the digital marketplace.

Moving towards 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 cloud environments using Azure D&A stack, Databricks, and Azure Open AI.
• 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 Open AI, GCP, and AWS platforms.
• 2-4 years of experience in data science roles or similar, ideally in CPG or Retail sectors.
• Experience with SAP MDG/S4 HANA is a plus.
• Proficiency with data visualization tools like Power BI for decision-making support.
• Strong analytical, problem-solving, and strategic thinking skills.
• Excellent collaboration skills, including working with external vendors.
• Effective communication skills, with experience presenting to senior management.
• Understanding of business processes and how technology aligns with segment priorities.
• Learning agility and enthusiasm for new technologies.
• Negotiation and influencing skills, with a proven ability to deliver in matrix organizations.

Key Responsibilities

• Design and maintain data architecture, strategies, and pipelines aligned with business goals.
• Define operating models for data and analytics products, including roadmaps.
• Partner with stakeholders to improve user experience and data analytics design.
• Develop data products with clear KPIs and value propositions.
• Implement data strategy roadmaps in collaboration with teams to enhance data lakes and real-time reporting.
• Lead data improvement projects across divisions and markets.
• Evaluate and deploy emerging data tools and platforms across Demand, Supply, R&D, and Commercial areas.
• Communicate analytics capabilities, standards, and processes effectively.
• Collaborate on technical architecture development with engineers and architects.
• Expand knowledge in machine learning, data science, AI, and related fields.

What can you expect from Mars?

• Work with diverse, talented teams guided by our Five Principles.
• Join a purpose-driven company committed to building a better tomorrow.
• Access to top-tier learning and development resources, including Mars University.
• Competitive salary and benefits, including bonuses.

Mars is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Assistance and accommodations are available upon request during the application process.