Data Architect

Job Reference:

£500 - £600

Data Architect – London – 3 months (Likely to extend to a year) – £500-£600 per day
SearchData is currently looking to recruit a Data Architect to work on a cutting-edge DWH project in the financial services industry. As the Data Architect your role will be to take a leadership role with the client, understanding what they need from their data then you will architect a solution that the client and the consultancy will execute against it. You will work with the client through to successful delivery.
The successful Data Architect will be a great communicator and have extensive experience of Data architecture delivering cloud based solutions (AWS, Azure). Ideally you will have worked with products like SPARK, AirFlow, SnowFlake, Python, Wherescape etc.
Main Responsibilities
·Focus on defining, developing and promoting Enterprise Data Architecture strategy that aids customers in achieving their strategic information management goals
·Define the solution architecture for Enterprise Information Management projects based on business requirements
·Design, document and oversee technical implementation of data architecture, support business project implementation and technical engineering of Enterprise Information Management platforms
·Collaborate with the business and customers to maximize the value of information across the organization
·Define and communicate complex data concepts to technical and non-technical people
·Stay current with industry and competitive research and information
Skills and Requirements
·Broad experience of different data store and different data processing technologies
·Experience in at least one cloud environment
·Experience in performing analysis, design & delivery for Data Management and Data Driven projects
·A comprehensive understanding of data engineering, and the supporting technologies such as (RDBMS, NoSQL, Object Stores, Graph Database, Cache & In-memory stores, Azure SQL, Azure Cosmos DB, Azure Storage, AWS S3, AWS EFS/EBS, AWS RDS, DynamoDB, MongoDB.
·A comprehensive understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as Amazon Glue, EMR, Azure Data Factory, Data Lake, other analytics products
·Experience implementing data solutions, in code, in languages such as Azure RM Templates. CloudFormation Templates, (json/YAML), PowerShell, Bash/Other Shell Scripting Languages SQL, Python, R, Other System / Data languages
·Excellent problem solving and data analysis skills
·Excellent communication and presentational skills, confident and methodical approach, and able to work within a team environment
Data Architect / Data Engineer / AWS Architect / Cloud Engineer / 
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