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Senior Data Solutions Architect
Seriös Group. Deliver strategic and technical data consultancy across the full data lifecycle .
Posted 11/9/2026full-timeNewcastle upon Tyne • United KingdomSenior💰 £60,000 - £80,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing data architectures and solutions, with a strong focus on cloud platforms such as Azure and AWS. Proven ability to lead project teams, mentor colleagues, and deliver high-quality outcomes aligned with client objectives and industry standards.
Highest-signal resume keywords
Data Architecture DesignCloud Data Platforms (Azure, AWS)ETL and Data Pipeline DesignAdvanced SQL SkillsAgile or DevOps Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringBusiness IntelligenceData Modelling (Kimball, Inmon, Data Vault)Relational Database ManagementAI and ML MethodologiesData Warehouse PrinciplesData Lake PrinciplesData GovernanceData IntegrationData Analytics
Soft Skills
LeadershipCommunicationInterpersonal SkillsOrganizational SkillsAdaptability
Tools & Technologies
Azure Data FactoryAWS GlueDatabricksSnowflakePower BITableauJiraAzure DevOpsSSISInformatica
Industry Keywords
Data LifecycleData StrategyCloud PlatformsIntegrationMigrationAnalyticsAIPre-salesClient EngagementDelivery Excellence
Tech Stack
Tools & technologiesAmazon RedshiftAWSAzureBigQueryCloudETLInformaticaPythonSnowflakeSparkSQLSSISTableauVault
About the role
Key responsibilities & impact- Deliver strategic and technical data consultancy across the full data lifecycle
- Shape and assure solutions spanning data strategy, governance, operating models, cloud platforms, integration, migration, analytics and AI
- Collaborate with stakeholders to understand business challenges and develop tailored data solutions
- Design and oversee technical architectures aligned with client objectives, industry standards and best practice
- Define and uphold principles, frameworks and standards for secure, scalable, resilient and cost-effective solutions
- Translate client requirements into target architectures, actionable roadmaps and assured solution designs
- Lead delivery by organising project teams, allocating resources, managing progress and ensuring outcomes from discovery through production
- Coach, mentor and build capability among project teams and colleagues
- Support pre-sales through scoping, estimation, proposals and presentations
- Identify opportunities to extend client engagements and grow relationships
- Apply emerging technologies, methodologies and industry best practice to client solutions
- Ensure delivery excellence, quality standards, governance requirements and measurable business outcomes
Requirements
What you’ll need- Proven ability to analyse complex business challenges and design effective, innovative data architectures and solutions
- Strong leadership skills with experience guiding project teams, mentoring colleagues and developing capability
- Excellent communication skills with the ability to present technical concepts to technical and non-technical audiences
- Self-motivated, proactive and able to work independently and as part of a team
- Highly developed interpersonal skills and ability to build trusted client relationships
- Commercial awareness across multiple clients and sectors
- Flexible and adaptable to changing priorities and business requirements
- Strong organisational skills and ability to manage workload, allocate resources and deliver to deadlines
- Passion for technology and commitment to staying current with emerging data and cloud tools and best practices
- Experience designing cloud data platforms in 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
- Experience with cloud and data technologies including 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
- Strong understanding of data warehouse and data lake principles
- Demonstrable data modelling capabilities using Kimball, Inmon or Data Vault methodologies
- Experience with relational database platforms
- Advanced SQL skills
- Exposure to Python, R or Spark
- Awareness of AI and ML methodologies and their application in data solutions
- Experience with Power BI or Tableau
- Experience leading or mentoring junior data engineers, BI developers or consultants
- Experience acting as a technical lead using Agile or DevOps methodologies, including peer reviews and continuous improvement
- Experience using Jira or Azure DevOps
Benefits
Comp & perks- Unlimited holidays
- Private healthcare
- Employee Assistance Programme (EAP)
- Salary sacrifice pension
- Flexible working with adaptable hours and hybrid working
- Enhanced family policies
- Company sick pay