Senior/Lead Data Solutions Architect

🔒 Confidential Employer
Posted 23 April 2026
LOCATION
London or Manchester
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Data Architecture Design Data Modeling SQL Cloud Database Technologies ETL Tools Data Analysis Data Governance RDBMS

FULL DESCRIPTION

[Employer hidden — view at passion-project.co.uk] are looking for someone who can serve as the Data Solutions Architect, leading on projects involving solution implementations such as SCVs, CDPs, Data Lakes and data models to support application development and to power clients marketing and sales activities.

Key Responsibilities

  • Focus on data architecture design, data modelling and schema leveraging data architecture best practices, data architecture guides and advice and guidance to the data engineering team and clients
  • Helping to scope and define the team and client’s enterprise data management solution from conceptual, logical and physical data models and schemas
  • Working with clients to understand needs, and best implement that with our available technology solutions
  • Pushing forward our thinking, processes, and capability in the field of data architecture, management, and engineering
  • Constantly looking at new technologies and approaches that improve what we do
  • Managing quality of outputs
  • Planning and resourcing multiple projects simultaneously
  • Delivering data management and architecture frameworks on a range of complex marketing, sales, and research processes
  • Working with a range of data sources such as CRM, sales, research, and HR data
  • Design and help build Single Customer Views or CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation
  • Knowledge of RDBMS, SQL and NoSQL databases and cloud computing platforms
  • Deliver optimum design for data management and data quality framework in conjunction with Data Engineering teams such as real-time, bulk loading, APIs, flat files, streaming, public data sources and survey data

Skills, Knowledge and Expertise

  • Experience with any of the following: Azure, AWS and GCP cloud database technologies
  • Design optimum data models, data dictionaries and metadata systems to support business needs
  • Define data architecture standards for the organisation to support client needs
  • Work with technical architects to ensure that client systems are designed in accordance with the appropriate data architecture
  • Experience with a range of database technologies including data lakes such as Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB with Python and Pyspark
  • Building data warehouse or data lakes with SCVs or in conjunction with CDP platforms
  • Experience of ELT/ETL tools such as Databricks, Azure Data Factory, SSIS, Talend, Informatica and Palantir
  • Managing and motivating teams and individuals
  • Understanding and application of statistical and analytical methods
  • Ability to lead, and to work well as part of, a team using the agile methodology
  • Experience with Data Analysis and governance
  • A growth mindset
  • AI curious and ready to embrace opportunities
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