Salary : upto 90k -base - Open for right candidate Job Purpose and primary objectives: As a Data Platform Architect in the Glopal Data Platform (Data & Analytics), you will leverage a client-centric approach to translate our OpCo’s business requirements into solutions and services for Data Platform that lead to successful business outcomes. Key responsibilities (please specify if the position is an individual one or part of a team): Define the solution architecture for new requirement within Data & Analytics space, which will help opco's to modernize and scale their Data Architect the Modern Data Platforms while leveraging cloud offerings such as AWS/SaaS/IaaS, other tools, tableau, Power BI Define architecture objectives for each capability of the data platform and business requirement/stories Help opco identify their optimal Data Journey to Cloud in terms of architectures, organization, data management, business case and roadmap Engage with leadership and opco in strategic discussions to assess business requirements, cost-effective services and use cases. Define MVPs as needed and Help build PoC Define the high-level solution and act as enterprise expert on the project which will align to organization level architecture level principle. Architect Data & analytic's offerings and assets in conjunction with Opco stakeholders Own and drive GDP architecture, effectively positioning those to opco Support Go-to-Market efforts defining how to align Data technologies to the different needs and opportunities Chair/Drive the Data Tech & Innovation working group for IAG Group. Key Skills/Knowledge: Key Skill Required: • Experience in as an Enterprise Data Architect • Experience with various AWS PaaS services within Data, Analytics • Experience in data platform/pipeline management, performance optimization • Data strategy for enterprise and data management, Governance experience • Demonstrated ability to work with different Data & Analytics team in an Enterprise • Design and delivered Data & analytics solutions for an Enterprise which aligned to business drivers, architecture principle, Security policies • Ability to develop capabilities, and to continue to support teams in growing their data landscape. • Experience of Airline industries is an advantage Experience required: • senior data engineer having knowledge and ability to perform all of the skills required for datawarehouse design, implement and monitor. • ETL design/development • Commercial experience with Snowflake Data Warehouse projects (must have some previous Snowflake experience, this is a must-have) • Pipelines, ETL/ELT and advanced data ingestion. • Security, GDPR and PII data handling principles.