Job title: Data Architect
Job type: Permanent
Emp type: Full-time
Industry: SaaS
Expertise: Architecture
Salary: GBP £75,000.00
Job published: 29/04/2022
Job ID: 33843

Job Description

Permanent | Remote | Up to £75k

We are looking for an experienced Data Architect to join a leading SaaS company who provide cloud-based solutions that drive complex operations for large organisations. This role allows for hybrid home/office working.

Reporting to the Head of Data, you’ll work with engineering teams and other architects to design and implement a modern cloud data architecture to deliver value at scale. You'll be involved in all stages, from initial design, through to working with teams to deliver projects in an agile environment.

You’ll be building data pipelines across a number of sources, constructing data models using technologies such as AWS Redshift and Snowflake. A solid understanding of data governance principles is required, including, but not limited to Master Data Management, Data Lineage and Data Security.

The ideal candidate will possess strong experience and knowledge of data warehousing, big data solutions, reporting technologies, relational and NoSQL databases, as well as a hands-on development background with skills in SQL and Python. Exposure to predictive analytics would also be desirable.

The company offers a range of benefits designed to give you the opportunity to learn and develop your skills, provide for your future, look after your physical and mental health, and feel well supported. They have a remote-first, work-where-it-works culture, meaning you’ll be able to work from home for the majority of the time, going into the office only when you need to collaborate with your team.

Main responsibilities

  • Identifying fit for purpose cloud data architecture solutions to successfully meet strategic needs and objectives.
  • Designing and implementing performing, secure & robust data pipelines, data lake and data warehousing.
  • Designing advanced conceptual, logical and physical data organisations, models, repositories, & dashboards.
  • Planning and executing secure practice data integration strategies and approaches.
  • Working closely with software engineers, adhering to Agile best practice.
  • Evangelising data team and platform across the wider business so that everyone can get the data that they need.
  • Leveraging information security principles to ensure compliant handling and management of data.

Skills and Experience

  • Proven experience of Data Architecture, comfortable with the ingestion and underlying data transformations needed for unstructured and structured data, and how this can be best designed for the BI needs of the users.
  • Strong Data Warehousing experience, building operational ETL/ELT data pipelines across a number of sources, and constructing relational and dimensional data models using cloud technologies such as AWS Redshift and Snowflake.
  • Solid understanding of data governance principles including, but not limited to Master Data Management, Data Lineage and Data Security.
  • Hands on Development background with experience in SQL and Python.
  • Understanding of established data management and reporting technologies and tools, with strong knowledge of relational and NoSQL databases.
  • Experience in Big Data solutions in the data analytics technology landscape.
  • Exposure to predictive analytics would be useful.
  • Strong verbal and written communication skills with the ability to liaise with a variety of stakeholders.
  • Problem-solving skills with the ability to work under pressure.


  • 25 days holiday plus bank holidays (or equivalent for shift-based roles)
  • Life insurance at 4x your basic salary
  • Aremote-first, work-where-it-works culture
  • Income protection insurance to pay your wages if you need extended time off work due to illness
  • Health cash plan to help with the costs of optical, dental and support for your mental wellbeing
  • Contributory pension scheme
  • Share award scheme, allowing you to be rewarded for our future success
  • Unlimited access to thousands of courses on LinkedIn Learning