Solutions Architect - Data Architecture and Engineering

6 days ago

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LGC

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LGC is a global leader in life science tools, partnering with customers to provide innovative solutions for some of the world's most complex challenges. The company specializes in diagnostics and genomics, offering products and services that improve the safety of food, medicines, and the environment. LGC's expertise extends to nucleic acid therapeutics, biosearch technologies, and reference standards, supporting accurate diagnostics and safety compliance. Their commitment to science and public health is evident in their response to global pandemics and contribution to conservation efforts using genotyping technologies. By collaborating with end-user labs, biopharma, and academic institutions, LGC continues to advance precision medicine and enhance global health standards through research, proficiency testing, and the development of new technologies.

Measurement science • Genomics • Life science tools • Analytical standards • Supply chain assurance

1001 - 5000 employees

Founded 1842

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

📋 Description

• LGC is a leading, global life science tools company. • Responsible for designing and delivering robust data solutions supporting analytics, AI, and business intelligence initiatives. • Collaborate with multi-functional teams across IT and business domains. • Design and implement scalable, secure, and high-performance data architecture solutions. • Develop and maintain enterprise data models, reference architectures, and governance frameworks.

🎯 Requirements

• Strong preference for experience with Snowflake, DBT, and Python. • Proven experience in data architecture, solution design, or a similar role within enterprise environments. • Expertise in cloud-based data platforms (AWS, Azure, GCP, Snowflake, Databricks). • Strong knowledge of modern data architectures (Data Mesh, Data Lakehouse). • Experience with data modeling, ETL/ELT processes, and real-time data processing. • Familiarity with data governance, security, and compliance frameworks. • Hands-on experience with database technologies (SQL, NoSQL, Graph DBs) and data integration tools. • Ability to conceptualize complex data ecosystems across different systems and processes.

🏖️ Benefits

• Hybrid/Remote Flexibility – Work in a way that suits your lifestyle. • Collaborative & Innovative Culture – Join a team that values forward-thinking solutions and standard processes. • Influence & Impact – Shape the future of data architecture in a leading enterprise environment. • Equal Opportunities – Work with an employer who believes in equal opportunities.