2 weeks ago Be among the first 25 applicantsDirect message the job poster from Version 1Company DescriptionVersion 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. We have several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems, and Snowflake. We’re also an award-winning employer, reflecting how employees are at the heart of Version 1.Our awards include: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023, and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023.As a digital-first consultancy and service provider, we focus on our core values. With significant growth across our practices, our Digital, Data, and Cloud team is expanding. This growth offers new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally.Job DescriptionAs a Data Architect, you will lead architecture on our client solutions, engaging closely with customers. Your role involves analyzing business requirements throughout the service lifecycle. Candidates should have a strong understanding of data architecture, analytics design, and project delivery in client-facing environments.QualificationsMinimum 5 years of data architecture experienceKnowledge of data frameworks, standards, principles (e.g., DAMA-DMBOK, DSA), and data modelling (relational/non-relational)Experience in data management, quality, metadata, reference/master data, integration, and storageFamiliarity with data governance, including glossaries, standards, catalogues, dictionaries, and lineageExperience with Enterprise Data Warehouse, Lakehouse, DataMart, and analytics designProficiency with architectural tools, methods, and documentationExperience with utility customer environments (beneficial)Understanding of various business data sources and unstructured data systemsKnowledge of streaming data technologies and methodologiesExperience with cloud data platforms (e.g., Snowflake, Databricks, Microsoft Fabric) and industry data formatsAbility to analyze enterprise data sources, volumes, velocity, and advising on suitable tools and techniquesExperience implementing data lake schemas and managing data lifecycle and quality frameworksUnderstanding of data catalog importance within Lakehouse architecturesProficiency with ETL/Data Orchestration tools and best practices in data cleansing, validation, enrichment, deduplication, and lineageSkills in accessing data using Python, PySpark, SQLExperience with data security and compliance within Data Lakehouse environmentsAdditional InformationWe offer a comprehensive benefits package prioritizing well-being, professional growth, and financial stability. Our hybrid work model, business travel, and tech benefits like our Tech Scheme support work-life balance and continuous learning. We provide private medical and life insurance, free eye tests, and contributions towards glasses. Employees can pursue certifications with incentives, including AWS, Microsoft, Oracle, and Red Hat. Our Profit Share scheme distributes profits quarterly, and Pathways Career Development supports professional growth.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesIT Services and IT Consulting
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