• Collaborate with stakeholders to understand business needs and requirements.
• Leveraging strong business acumen, translate business requirements to create solution artefacts to build data products.
• Develop solution proposals that provide details of project scope, approach, deliverables and timeline.
• Design data models, ensuring accuracy, integrity, and performance.
• Ensure the scalability and performance of data solutions.
• Ensure the data security of the data products and the solution optimized is cost-efficient
• Select appropriate technologies and tools offered by organisations’ self-serve data platform for building the data products.
• Prepare key design decisions, and an ability to demonstrate structured consideration of multiple options (comparing competing technologies, functional design approaches etc).
• Guide the data engineers in solution development and ensure the solution is implemented

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible
Experience & Knowledge:

• Bachelor’s Degree or equivalent with minimum 8 years of experience Big Data, data warehouse, data analytics projects, with at least 3 years in solution architect role.
• Prior experience building large scale enterprise data architectures using commercial and/or open source Data Analytics technologies.
• Hands-on and in-depth experience of cloud solutions from a Data Architecture/Data Engineering perspective.
• Hands-on experience in developing and implementing large-scale data warehouses, Business Intelligence solutions, including Data Lakes/Data Hubs.
• Hands-on experience with productionising cloud data solutions with administration, configuration management, monitoring, debugging, and performance tuning.
• Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops.
• Strong understanding of data quality principles and methodologies
• Data modelling and solutioning skills including strong foundation in data warehousing concepts, data normalisation, and dimensional data modelling such as Kimball, Inmon, data vault etc.
• Experience with big data technologies, such as Hadoop, Spark, or Kafka
• In depth understanding of Google Cloud Platform and it’s suite of data analytics services.
• Strong programming skills in languages like Python, SQL for building data pipelines and ETL processes.
• Excellent problem-solving skills and the ability to troubleshoot complex data issues.
• Strong communication and collaboration skills to work effectively with cross-functional teams
• Knowledge of data mesh architecture, agile and lean development methodologies and airline domain
• GCP certifications are a plus.