Principal Recruiter
Data Platform & Architecture
View profileAs the use of data in business gets more and more prevalent, companies are making a significant investment into their BI systems and data infrastructure to improve efficiency and increase productivity. The major benefits of having a functioning BI system or a real-time streaming data architecture, include faster reporting, improved data quality, and increased competitive advantage.
Why consider a career as a Data Architect?
Analytics is now seen as the most important technology priority for companies around the world, and decision making in now more important than ever. There are a large range of industries that utilise Business intelligence such as; Financial Services, Healthcare, Government, Marketing and Sales, Oil and Gas and Transport.
Typical role titles include
Business Intelligence Designer
BI Designer
Business Intelligence Architect
BI Architect
Data Architect
Big Data Architect
Enterprise Data Architect
Data Solution Architect
Data Infrastructure Architect
Head of Business Intelligence
Business Intelligence Manager
Lead Data Architect
Head of Data Architecture
Information Architect
Career progression example
Data Engineer
Data Architect
Lead Data Architect
Enterprise Data Architect
Head of Data Architecture
Salary Benchmarks
We’ve outlined the latest salary benchmarks for Data Architecture roles in the guides below:
Data, Insight and Analytics Salary Guide
Data, Insight and Analytics Day Rate Guide
Data, Insight and Analytics Within Data Engineering Development Salary Guide
Data, Insight and Analytics Within Data Science Salary Guide
Is it right for me? The skills it takes…
Programming skills/Awareness: Data Modelling and Data Warehousing | ETL and Data Integration | OLAP Models Semantic Layer | Reporting | Dashboards | Presentation Layer | Master Data Management | Metadata Management | Predictive Analytics and Data Mining | Big Data and Streaming Data | SQL Server | Oracle | AWS | Azure | GCP | Google Cloud | Netezza | OBIEE | PL/SQL.
Critical thinking skills: Analysing | Applying Standards | Information Seeking | Logical Reasoning | Predicting, Transforming Knowledge.
What qualifications does it take?
A-Levels in IT, Maths, Engineering Computer Science, Business Management or Degree in Computer Science, Maths, Engineering, Business Information Systems, Data Engineering, Big Data.
We connect ambitious organisations with their greatest assets, equally ambitious talent.
Work on a really complex large scale infrastructure project.
Gain further data modelling experience.
Full details
18th Oct
“From finding me my current role to helping place two fantastic hires, ADLIB has been a pivotal role in the development of our team here at Bristol. The guys are easy to work with, friendly and most importantly inspire trust. I look forward to working with them in the future.”
Working with a recruitment partner like ADLIB means you’re working with a group of people who get to understand you and match candidates up with your culture and goals. ADLIB worked at a breakneck speed to introduce us to the marketing experts we needed to build our team in a matter of months. With their help we recruited and onboarded a new team much faster than planned and ended up spoilt for choice because of the way they work and market insights.
Average salaries and day rates typically received for Data, Insight and Analytics roles.
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Average salaries and day rates typically received for Data, Insight and Analytics roles.
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Average salaries and day rates for roles within data engineering & development.
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Average salaries and day rates typically received for Data, Insight and Analytics roles within Data Science.
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