Senior/Lead Data Solutions Architect

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

Our culture and our benefits

• We raise the bar
• We look out for each other
• We embrace our differences
• We shape a changing world
• We’re all in

• Holiday entitlement, 28 days with the option to buy/sell up to 5 days (note that 3 days are held for Christmas holidays)
• Day off (on or in the week of) your birthday 
• Pension eligibility, up to 5% matched contributions
• Private healthcare 
• Life assurance
• Enhanced maternity and enhanced paternity and shared parental leave 
• Cycle to work schemes
• Gym & retail discounts 
• Regular social events/activities
• A range of other benefits from our flexible benefits package