Ref: DADLC2023_1672916672

Data Architect - Data Lake - Cloud

England, Greater Manchester

  • £75,000 to £85,000 GBP
  • Architect Role
  • Skills: Datalake, Data, AWS, Architecture, Engineering, Stake Holder Managemanet
  • Level: Mid-level

Job description

Data Architect - Data Lake - Cloud


Data Architect - UK - Data lake, Stake Holder Management

Jefferson Frank are supporting a client in the retail and finance space in the UK who are looking for a Data Architect to join a team of 15 strong.

As a Data Architect, your role will be both strategic and hands-on, and you will be primarily responsible for the end-to-end Analytic Platform data architecture, including the data lake and the enterprise data warehouse. You will be a key input into the overall data strategy and be a key driver of the overall enterprise data architecture and data governance initiatives.


* Hybrid working and flexible start times
* 24 days holiday (+ 8 bank holidays) with the option to buy an additional 10 days
* Annual bonus scheme
* Enhanced maternity and adoption leave
* Company pension with up to 8%
* Mental Health support both internally and externally, including access to wellbeing champions and counselling services
* A range of financial wellbeing support
* Colleague discount
* Onsite café with subsidised rates and local restaurant discounts!
* Life Assurance and Private Medical Insurance
* Paid volunteer time - all our colleagues can take a full day paid to volunteer for a charity of their choice

Your responsibilities:

* Evaluate, design and maintain our cloud-native enterprise lake house (data lake + data warehouse) architecture covering all data lifecycle stages (identification, collection, storage, cleansing, enrichment, transformation, and exposure). Work with internal stakeholders and external delivery partners to achieve this.
* Design, implement and maintain an easy-to-interpret and well-documented EDW data model, in order to facilitate frictionless access to trusted data, data democratisation and self-serve use-cases.
* Work collaboratively with the Data Management function to create, maintain, support, and evolve a clean data ecosystem (enterprise-wide and EDW-specific data architecture, modelling, development, and governance) and champion the usage of relevant modern cloud and/or open-source tools and technology.
* Input into and enable the strategic Group Data and Analytics Platform roadmaps, develop and communicate the sequence of architectural implementation.
* Establish a strong support framework for group-wide data practitioners, evangelising existing and potential Analytics Platform capabilities.
* Leverage overarching knowledge of available and (potentially available) data to co-ordinate and enable cross-team projects and strategic programmes.

What skills and experience will you have?

* Significant practical and demonstrable data architecture experience, preferably in designing and implementing cloud-native analytics/data platforms (including data lake/warehouse) technology through all data lifecycle stages
* Excellent conceptual and logical data modelling and database design experience, including industry-recognised data modelling patterns and standards (i.e. dimensional), that is relevant to a retail and/or financial services business
* Passionate about high quality, usable data and governance structures
* Understand how to deploy data in support of complex machine learning projects
* Be able to demonstrate an innovative, dynamic and creative approach to problem-solving
* Can identify opportunities and lead others sensitively through organisational and technology change
* Have a growth mindset, taking advantage of learning opportunities to help N Brown become an industry leader

Software and Technology Skills

* Experience with Cloud products (AWS, GCP, Azure)
* Experience with open-source data-stack tools such as Airflow, Airbyte, DBT, Kafka etc.
* Experience with data visualisation tools such as PowerBI, Tableau and/or Looker
* Knowledge of Teradata, Mainframe and/or Google Analytics is preferable
* Appreciation of data management, analytics, science, and visualisation workflows and data needs
* Appreciation of the modern cloud data stack, headless BI, analytics engineering, data meshes and lake-houses

If this is something of interest to you please apply and one of our certified consultants will give you a call to speak in more detail.