Senior Data & AI Architect

🔥 2 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 29 days.
• No salary listed.

Apply Now

Check your resume score

Customize resume + cover letter

Find Similar Remote Jobs

☆ Save☑️ Mark as applied❌ Hide

Report problem

LGC

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1842

🏥 Healthcare

🍽️ Food & Beverage

🏭 Manufacturing

Healthcare • Food & Beverage • Manufacturing

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.

📋 Description

• Act as the data architecture representative in ERP, CRM, Finance, Supply Chain and Laboratory Systems programmes • Assess downstream impacts of changes, upgrades and new implementations • Profile source data before integration begins • Create and maintain conceptual, canonical and semantic data models for Product, Customer, Supplier, Finance, Employee and Quality domains • Produce reference architectures, integration blueprints, data contracts and modelling standards for ingestion, medallion and ELT patterns • Design and guide delivery of data models, semantic views and consumption models in Snowflake • Guide dbt transformations tested for grain, joins and metric correctness • Review data engineering designs for conformity with architectural standards • Contribute to engineering guardrails and platform best practice • Develop the LGC enterprise ontology by linking source metadata and relationships to governed business concepts • Establish consistent, trusted definitions across the organisation • Manage the lifecycle of semantic assertions from proposal and validation through approval and retirement • Turn semantic assertions into practical Snowflake semantic models • Design governed data products and models enabling AI applications, including RAG and GraphRAG • Ensure data is reliable, traceable and fit for purpose through governance, metadata management, MDM designs and quality controls • Translate business requirements into architectural designs and documentation • Represent the Data & AI team in architecture and demand review forums • Collaborate with technical and non-technical stakeholders

🎯 Requirements

• Proven experience in Enterprise Data Architecture, ideally within a complex, multi-system organisation • Experience engaging directly with ERP, CRM, Finance or Lab Systems and translating business data requirements into architectural design • Strong expertise in conceptual, logical, relational and dimensional data modelling • Hands-on experience with Snowflake or a similar cloud data platform • Hands-on experience with dbt for transformation design, testing and lineage • Advanced SQL skills across Snowflake, SQL Server or Oracle • Experience developing and testing analytical data models • Understanding of ETL/ELT, data integration, data pipelines, and medallion or lakehouse architectures • Experience designing semantic models and understanding enterprise ontologies, data concepts, relationships and business definitions • Knowledge of data governance, metadata management, lineage and data quality, including controls for data used by AI and ML models • Experience producing architecture documentation, data models, integration blueprints and technical designs • Ability to explain complex technical concepts clearly to technical and non-technical stakeholders • Experience building enterprise ontologies or knowledge graphs using SPARQL or SHACL would be beneficial • Hands-on experience with Snowflake Semantic Views or Cortex would be beneficial • Understanding of API, event-driven and file-based integration patterns and platforms such as MuleSoft would be beneficial • Exposure to Master Data Management (MDM) would be beneficial • Familiarity with enterprise architecture tools such as Erwin Evolve would be beneficial • Experience supporting AI/ML applications or working with RAG and GraphRAG would be beneficial • Background in life sciences, regulated industries or global organisations would be beneficial • Recognised enterprise architecture, data architecture or cloud platform certifications would be beneficial

🏖️ Benefits

• Inclusive work environment where everyone can compete and succeed based on their merits • Commitment to non-discrimination and valuing employees for their individual talents

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume