Data Architect

Job Title: Data Architect

Job Location: London, UK/Hybrid

Job Type: FTE

Job Description :

1. A minimum of 10 years of experience as a Data Architect
2. A minimum of 3 years of experience in the Financial Services sector
3. Has excellent understanding of:
4. Data Architecture framework, standards, principles and data integration patterns
5. Software development, analysis and data modelling, databases, data integration
6. Technologies for database, ETL, Business Intelligence, data governance
7. Minimum 3 years of experience with any of the given tools Collibra, Solidatus, data.world, or any other data catalog tools in the industry.
8. Minimum 5 years experience working with cloud technologies AWS, AZURE.
9. Very strong in SQL, PL/SQL or T-SQL.
10. Vast experience in data modelling using tools such as Erwin, Power Designer, SQLDBM or Sparx EA.
11. Minimum 10 years experience in using databases such as Oracel, SQL Server, Snowflake or any other OLATP and OLAP databases.
12. Minimum 5 years experience with reporting tools Power BI, Business Objects, Tableau or OBI.
13. Understanding of Master Data Management technology landscape, processes and design principles. Minimum 3 years of experience with Informatica MDM or any other MDM tools (both customer and product domains).
14. Understanding of established data management and reporting technologies, and have some knowledge of columnar and NoSQL databases, predictive analytics, data visualization.
15. Understanding of GDPR and The Data Protection Act 2018
16. Understanding of predictive modelling, NLP and text analysis, Machine Learning
17. Data mining, visualization, and Machine Learning skills
18. Knowledge of programming languages inc. Python highly desirable.
19. TOGAF or ISEB accreditation (preferred)
20. Experienced in architecture design, data modelling, data migration (on premise to cloud, and vice versa) and data integration methodologies
21. Whole lifecycle experience from project inception, feasibility, design - through to project delivery.
22. Proven track record in operating large Data Governance programs and managing enterprise data assets in a complex organisation
23. Excellent communication skills with ability to explain technical concepts to non-technical audiences.
24. Self-starter with the ability to appropriately prioritize and plan complex work in a rapidly changing environment
25. Very strong problem-solving skills