Solutions Architect - Data Architecture & Engineering at LGC Group
TT0, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

15 May, 25

Salary

0.0

Posted On

16 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT LGC:

LGC is a leading, global life science tools company, providing mission-critical components and solutions into high-growth application areas across the human healthcare and applied market segments. Its high-quality product portfolio is comprised of mission-critical tools for genomic analysis and for quality assurance applications, which are typically embedded and recurring within our customers’ products and workflows and are valued for their performance, quality, and range.
Job Description
Location: Hybrid/Remote Options Available, UK based
We are looking for an expert in data architecture, cloud technologies, and integration patterns. Do you have a passion for designing scalable, secure, and high-performance data solutions that drive business success? If so, this is a great opportunity to play a pivotal role in shaping enterprise data architecture!

Responsibilities

ABOUT THE ROLE

Working with the Head of Enterprise Data Architecture and Engineering (EDAE), the Solution Architect – Data Architecture & Engineering will be responsible for designing and delivering robust data solutions that support analytics, AI, and business intelligence initiatives. You will collaborate with multi-functional teams across IT and business domains, ensuring data strategies align with enterprise objectives and industry standard methodologies.

KEY RESPONSIBILITIES

  • Design and implement scalable, secure, and high-performance data architecture solutions.
  • Develop and maintain enterprise data models, reference architectures, and governance frameworks.
  • Represent the EDAE team in Demand Review and Prioritisation meetings.
  • Collaborate with IT engineering teams across ERP, Commercial, and Lab Systems to guide data pipeline, warehouse, and lakehouse implementations.
  • Evaluate and recommend data technologies, platforms, and tools to enhance enterprise data capabilities.
  • Ensure data security, compliance, and governance standard processes are embedded within the architecture.
  • Provide thought leadership on emerging technologies and innovations in data architecture.
    Qualifications
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