Hybrid Data Architect

at AND Digital

• Job title: Data Architect
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Amazon Redshift, AWS, Azure, Cloud, ElasticSearch, ETL, Hadoop, Kafka, MariaDB, MongoDB, MySQL, Oracle, Postgres, Python, Scala, SDLC, Splunk, SQL
• Location requirements: Hybrid, Bristol, United Kingdom

About the role

• Data Architect leading enterprise-scale data architecture projects. Collaborating with teams to deliver client-facing solutions and share expertise in a hybrid work setting.

Responsibilities

• Proven track record of leadership of teams and problem solving at the enterprise scale in the field of Data Architecture, Science or Analytics.
• 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
• Experience using modern and traditional data technologies including ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK
• Quality assuring data programmes, including non-functional testing and performance tuning
• Modern software delivery, including CI/CD and DevOps practices
• Conducting large scale enterprise batch and real-time processing from varying sources
• Building and designing scalable and extensible enterprise data architectures
• Actively contribute to your Practice Area by sharing your expertise, shaping propositions, and helping elevate our collective craft.

Requirements

• 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
• You’ll actively contribute to your Practice Area by sharing your expertise, shaping propositions, and helping elevate our collective craft. Whether through knowledge sharing, innovation or mentoring others, you play a key role in advancing the capability and strength of your community.

Benefits

• 25 days holiday allowance + bank holidays
• Share scheme
• A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan
• 6% pension
• PLUS many more