Data Architecture Manager - Edinburgh

In this role you will:

• Lead, motivate and inspire teams of Data Architects and Engineers 
• Engage with client stakeholders to create a compelling vision of a data-driven enterprise 
• Understand client requirements and defining them as architectural models 
• Lead end-to-end design of data and data platform architectures, using architecture blueprints 
• Support the development and delivery into production of data architecture, coaching delivery teams during delivery using a variety of methodologies 
• Analyse and resolve architectural problems, working closely with engineering, data science and operations teams 
• Provide technical architecture assessments 
• Provide best-practice knowledge, reference architectures, and patterns for use across data engineering and architecture communities 
• Communicate and provide guidance to senior client leadership and teams 
• Contribute data and platform architecture expertise to new sales activities

We are looking for experience in the following skills:

• Solid understanding of key architecture concerns such as availability, scalability, operability and maintainability 
• Knowledge of and experience of the application of modern architecture principles and patterns 
• Hands-on experience in development and deployment of data technologies and platforms such as: 
  • Integration – APIs, micro-services and ETL patterns
  • Data platforms – Big Data (Hadoop, Spark, Hive, Sqoop, Kafka etc.)
  • Database (Oracle, SQL etc.) and Data Warehouse (Teradata, Redshift, BigQuery etc.)
  • Software coding (Java, Python etc.) 
  • Analytics tools / real-time data processing 
  • Digital marketing: social media, personalisation, targeting, SEO, PPC, DMP 
  • Front-end technologies: HTML5, CSS, JS and related frameworks 
  • Cloud: AWS, GCP and Azure 
  • Devices: iOS (iPhone / iPad), Android 
  • Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization

Set yourself apart:

• Ability to successfully lead and motivate teams of Data Architects and Engineers 
• Mastery of leading large-scale database projects, including use of Agile methodologies 
• Proven history of successfully communicating with clients and senior leaders to understand/explain business requirements and data engineering strategy.