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Senior/Lead Data Solutions Architect
Transform
London, GBR
Full-time
Senior
Hybrid
Discovered 1 weeks ago
AzureAWSGCPSQLNoSQLPython
Free
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AzureAWSGCPSQLNoSQLPython
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Key Responsibilities
- Focus on data architecture design, data modelling and schema leveraging data architecture best practices, data architecture guides and advice and guidance to the data engineering team and clients
- Helping to scope and define the team and client’s enterprise data management solution from conceptual, logical and physical data models and schemas
- Working with clients to understand needs, and best implement that with our available technology solutions
- Pushing forward our thinking, processes, and capability in the field of data architecture, management, and engineering
- Constantly looking at new technologies and approaches that improve what we do
- Managing quality of outputs
- Planning and resourcing multiple projects simultaneously
- Delivering data management and architecture frameworks on a range of complex marketing, sales, and research processes
- Working with a range of data sources such as CRM, sales, research, and HR data
- Design and help build Single Customer Views or CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation
- Knowledge of RDBMS, SQL and NoSQL databases and cloud computing platforms
- Deliver optimum design for data management and data quality framework in conjunction with Data Engineering teams such as real-time, bulk loading, APIs, flat files, streaming, public data sources and survey data
Skills, Knowledge and Expertise
- Experience with any of the following: Azure, AWS and GCP cloud database technologies
- Design optimum data models, data dictionaries and metadata systems to support business needs
- Define data architecture standards for the organisation to support client needs
- Work with technical architects to ensure that client systems are designed in accordance with the appropriate data architecture
- Experience with a range of database technologies including data lakes such as Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB with Python and Pyspark
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