Senior​/Lead Data Solutions Architect

Job title:

Senior/Lead Data Solutions Architect

Location:

London or Manchester (you'll be assigned to the closest office to you)

WoW:
Hybrid/Remote - weekly travel to the office/client site per week (varies depending on client/project phase)

We're Transform.

Transform is a fresh alternative to Big Consulting. As an end-to-end transformation partner, we define, design, build and operate systems that solve our clients’ toughest challenges and seize their biggest opportunities. That often means combining strategy, data, AI, technology, and change management. Sometimes we manage and operate the systems we create; other times, we hand it over for the client to run – standing by to make improvements when things change.

It all comes down to making an impact: improving lives, supporting citizens, streamlining workflows, and making the world a better place. We specialise in public sector and public-facing organisations—from government agencies and local authorities to energy, utilities, transportation and healthcare. We also work for some of the world’s most dynamic brands across automotive, retail, financial services, and consumer goods. We work closely (often on site) with our clients;

to deliver impact you are keen to help us build the workforce of the future, we should talk.

We’re all in! That's what gets us out of bed every day. We hope you feel the same.

Transform 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.

The ideal person will understand internal and external client needs, designing data solutions that allow customers to implement systems for their technology business applications. This involves performing data modelling, analysis and planning to implement a data management and quality framework that meets business needs. This person would act as a bridge between Enterprise Architecture and Data Engineering teams. The data architect presents and translates the data management framework design that will meet the client business requirements.

• 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 No
  
  SQL 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

• 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, Postgre
  
  SQL, Snowflake, MySQL, Cosmos DB or Mongo DB…