Data Architect

AVEVA is a global leader in industrial software. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals and minerals – safely, efficiently and more sustainably.

We’re the first software business in the world to have our sustainability targets validated by the SBTi, and we’ve been recognized for the transparency and ambition of our commitment to diversity, equity, and inclusion. We’ve also recently been named as one of the world’s most innovative companies.

If you’re a curious and collaborative person who wants to make a big impact through technology, then we want to hear from you! Find out more at

Position:Data Architect

Location:London | Cambridge

Employment type:Full-time regular

Benefits:Competitive package with an attractive bonus plan, regionally specific benefits ranging from above the norm paid vacation, contributions to retirement investment plans or pensions, insurances and a many other memberships and perks designed to enhance the workplace experience, your health, and wellbeing. 

We are looking for a Data Architect to work within our customer, product, and people data domains.

The data architect is responsible for designing, creating, and managing AVEVA’s data architecture. This role is critical in maintaining a solid foundation for data management within AVEVA, ensuring that data is organised, accessible, secure, and aligned with business objectives. The data architect designs warehouses, file systems and databases, and defines how data will be collected and organised through master data management.

Responsibilities:

Interprets and delivers impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps. Designs the structure and layout of data systems, including databases, warehouses, master data management and lakes. Selects and implements database management systems that meet the organization’s needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures. Defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms. Designs and implements processes for the ETL process from various sources into the organization’s data systems. Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards. Manages senior business stakeholders to secure strong engagement and ensures that the delivery of the project aligns with longer-term strategic roadmaps. Simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company. Leads and participates in the peer review and quality assurance of project architectural artifacts across the EA group through governance forums. Defines and manages standards, guidelines, and processes to ensure data quality. Works with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions. Evaluates and recommends emerging technologies for data management, storage, and analytics.

Skills and qualifications:

At least five years of relevant experience in design and implementation of data models for enterprise data initiatives Experience leading projects involving data modeling, data design and data analysis. Design experience in Azure Fabric, Synapse, and Power BI/Tableau Design experience in Informatica Customer 360 and Product 360 and Reference Data Management Strong ability in programming languages Ability in data science languages/tools such as SQL, R, Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services, real-time data distribution, and modern data tools Experience with database technologies such as SQL, NoSQL, Oracle Understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture. Ability to assess traditional and modern data architecture components based on business needs. Experience with business intelligence tools and technologies such as ETL, Power BI, and Tableau Ability to regularly learn and adopt new technology, especially in the ML/AI realm. Strong analytical and problem-solving skills Ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings. Ability to collaborate and excel in complex, cross-functional teams involving enterprise business and information architects, data analysts, business analysts, and stakeholders. Ability to guide solution design and architecture to meet business needs.