• Profitero Ltd is inviting hands-on Big Data Architect to join our product team, creating a next-generation eCommerce intelligence service for retailers and manufacturers
• We will be happy to welcome new team members who are not afraid of non-trivial tasks, can offer non-standard technical solutions, and take the initiative
• Demonstrable experience working in a similar role or a senior data engineering role
• Strong experience designing, developing, setting up & maintaining solutions in Azure/AWS/GCP. Ideally GCP
• Considerable experience working with large datasets and multiple data feeds
• Confident working with databases, data warehouses, and data lakes. Ideally Snowflake
• Confident working with SQL, Spark, and Airflow
• Excellent collaboration, interpersonal, written, listening & verbal communication skills
• Strong leadership skills and the ability to train, coach, and encourage others
• Working experience in an Agile environment
• Ability to speak English fluently
• Experience working in the containerized environment (Docker, Kubernetes)

Desirable

• We will develop a brand new Data Platform based on Google Cloud and Snowflake, hosting storage, processing, and data science workloads across multiple products
• It is an ambitious goal with an ambitious timeline
• The Data Platform is a crucial part of our Enterprise Architecture
• It receives data (terabytes) from our Data Acquisition system, processes and enriches it, and serves through our Data Presentation components
• Initially, all workloads will be batch, but shortly, we plan to have streaming workloads
• The current focus is to scale new products on the Lake
• This/Next year we plan the migration of existing data products to Snowflake, which will cause us to rewrite certain data pipelines to adjust to the new technology stack
• This team will be primarily responsible for implementing those pipelines as well as for guiding/helping other teams
• Design and build scalable and resilient Data & Analytics solutions
• Integrating solutions with other components of the system
• Design and development of Data pipelines
• Designing data models
• Engaging in proof of concepts and experiments
• Participate in overall testing and production maintenance
• Create and sustain Architectural Artifacts (Diagrams, Proposals, Architecture Definition Documents)
• Participate in overall refinements, testing, and production maintenance