Data Architect

r mission to close the world’s digital skills gap.

What you’ll bring to the table:

• Proven track record of leadership of teams and problem solving at the enterprise scale in the field of Data Architecture, Science or Analytics. With hands-on technical delivery of client-facing data projects across the full SDLC from design to migration, integration and live service in a multi-vendor environment
• Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies. This should be backed with strong cloud-native data engineering skills e.g. AWS RDS, Aurora, Redshift, Kinesis, Glue or Azure CosmosDB, DataFactory, DataWarehouse, SQL DB etc.
• Proven experience in quality assuring data programmes, including non-functional testing and performance tuning
• Hands-on experience of modern software delivery, including CI/CD and DevOps practices with a deep understanding and extensive track record of delivering complex data solutions using Agile methods including Scrum, SAFe etc.
• A keen understanding of industry best-practice around standards, quality and continuous improvement in the field of Data Engineering
• Experience in conducting large scale enterprise batch and real-time processing from varying sources
• Experience in building and designing scalable and extensible enterprise data architectures