Data Architect

Overview

Job Title : Data Architect

Job Location : London, UK / Hybrid

Job Type : FTE

Job Description

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