Data Solutions Architect

Seriös Group

Data Solutions Architect at Seriös Group providing strategic and technical leadership across the data lifecycle. Delivering effective data strategies, governance, cloud integration, and analytics.

Posted 7/31/2026full-timeNewcastle upon Tyne • 🇬🇧 United KingdomMid-LevelSenior💰 £60,000 - £80,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing cloud data platforms, with a strong focus on data engineering, analytics, and AI methodologies. Proven ability to lead project teams, mentor junior staff, and deliver tailored data solutions that align with client objectives and industry best practices.

Highest-signal resume keywords

Cloud Data Platform DesignETL And Data Pipeline DesignAdvanced SQL SkillsData Modelling Using KimballAgile Or DevOps Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringBusiness IntelligenceData Warehouse PrinciplesData Lake PrinciplesData Visualisation ToolsPythonRSparkSQLData Modelling

Soft Skills

LeadershipCollaborationMentoringCommunicationCoaching

Tools & Technologies

Azure Data FactoryAWS GlueDatabricksSnowflakePower BITableauJiraAzure DevOpsAzure Synapse AnalyticsInformatica

Industry Keywords

Data StrategyData GovernanceCloud PlatformsIntegrationMigrationAnalyticsAITechnical ArchitectureDelivery ExcellenceEmerging Technologies

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudETLInformaticaPythonSparkSQLSSISTableauVault

About the role

Key responsibilities & impact

Deliver high-quality consultancy to clients, providing strategic and technical leadership across the full data lifecycle to ensure business value is realised
Shape and assure solutions spanning data strategy, governance, operating models, data capabilities, cloud platforms, integration, migration, analytics and AI
Collaborate with stakeholders to understand business challenges, identify opportunities and develop and present tailored data solutions
Design and oversee the development of technical architectures that align with client objectives, industry standards and best practice
Define and uphold sound principles, frameworks and standards to ensure solutions are secure, scalable, resilient and cost-effective
Act as the bridge between client objectives and delivery, translating requirements into target architectures, actionable roadmaps and assured solution designs
Lead delivery by organising project teams, allocating resources, managing progress and ensuring successful outcomes from discovery through to production
Provide leadership and guidance to project teams, supporting professional development through coaching, mentoring and capability building
Contribute to business growth by supporting pre-sales activities including scoping and estimation, preparing proposals and presentations and identifying opportunities to extend client engagements
Maintain awareness of emerging technologies, methodologies and industry best practice, applying relevant innovations to client solutions
Promote delivery excellence by ensuring solutions align with quality standards, governance requirements and measurable business outcomes

Requirements

What you’ll need

Experience designing cloud data platforms in either Azure or AWS or significant on-premise design experience
5+ years’ experience in data engineering, business intelligence or related roles
Extensive ETL and data pipeline design experience, technology agnostic
Experience implementing solutions using a range of cloud and data technologies such as Fabric, Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google BigQuery, Alteryx, SSIS or Informatica, with awareness of equivalent alternatives
Strong understanding of data warehouse and data lake principles
Demonstrable data modelling capabilities using Kimball, Inmon or Data Vault methodologies
Experience working with relational database platforms
Advanced SQL skills
Exposure to data engineering coding languages such as Python, R or Spark
Awareness of AI and ML methodologies and their application in data solutions
Experience with data visualisation tools such as Power BI or Tableau
Experience leading or mentoring junior data engineers, BI developers or consultants
Experience acting as a technical lead on project delivery using Agile or DevOps methodologies including peer reviews and continuous improvement
Experience using backlog management tools such as Jira or Azure DevOps.

Benefits

Comp & perks

Unlimited holidays – we want you to be able to take the time to rest and recharge
Access to private healthcare & EAP – so you can access help and support whenever you need it
Salary sacrifice pension – to help increase your retirement savings efficiently
Flexible working – with adaptable hours and hybrid working to work around your lifestyle
Enhanced family policies & company sick pay – so you can benefit from extra support during these times of leave
+ more is available to view on our dedicated careers site