Hybrid Data Architect

at AND Digital

• Job title: Data Architect
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Amazon Redshift, AWS, Azure, Cloud, ElasticSearch, ETL, Hadoop, Kafka, MariaDB, MongoDB, MySQL, Oracle, Postgres, Python, Scala, SDLC, Splunk, SQL
• Location requirements: Hybrid, Leeds, United Kingdom

About the role

• Data Architect at AND Digital focused on closing the digital skills gap through enterprise data architecture solutions. Leading teams and ensuring quality in client-facing data projects.

Responsibilities

• Join us - and help us fulfil our mission to close the world’s digital skills gap.
• We believe our work should always leave a legacy for the client.
• This unique model has driven success for our clients and ourselves, evidenced by our remarkable organic growth since 2014.
• Opportunities to work on projects with big clients and the chance to produce meaningful work that makes a difference to people’s lives.
• A “Blended Working” model, meaning you will be able to work in a range of locations from; your home, in your clubhouse, on a client, as well as just a change of scenery.
• A dedicated career scrum team, designed to help you reach your career goals and develop the skills you need to be your best self.
• An annual budget for training and upskilling, including allocated days off so you don’t have to study in your own free time.
• Monthly and quarterly team socials - on us - ranging from after work drinks, to driving experience days with your fellow club members.
• A safe environment for you to be yourself and challenge yourself.

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

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