Technical Data Architect

Your responsibilities

• Come up with Architecture options for the various use cases in the beginning and
• constantly revisit and refine this to match organization’s technology landscape and
• capabilities
• Understand the Business Requirements and decompose this into a concept of what data products will be built which can be used as a blueprint by the developers
• Assistingdevelopment and operations Team on troubleshooting complex issues Working with Data Architects in upstream and downstream systems to align on the changes happening in theorganization
• Proactively proposing improvements to increase the stability and efficiency of data
• structures maintenance
• Lead the Data part of the Technical Backlog (from analysis to implementation)
• Review solutions proposed by the Development Team (if needed)
• Introduce effective and practical technical governance
• Lead discussions with the various internal stakeholders and bring all of them into alignment on the Architecture options and Data Products that the CXIM Team needs.
• Able to coach and guide the development team through the various sprints to ensure that the development meets the architecture patterns and the outcomes for the project.
• Define, enforce and apply data engineering practices and standards to develop robust
• and maintainable data pipelines
• Analyze and organize data pipelines
• Support senior business stakeholders in defining new data product use cases and their value
• Take ownership of data product pipelines and their maintenance
• Be constantly on the lookout for ways to improve best practices and efficiencies and
• make concrete proposals.
• Take leadership and collaborate with other teams proactively to keep things moving
• Work closely with Solution Architect and Stream Leads (AWS, Qualtrics) when doing
• changes impacting whole system landscape
• Be flexible and take on other responsibilities within the scope of the Agile Tea

Our requirements

• Good organizational, analytical, communication & consulting skills
• Knowledge about Data Mesh concept
• Knowledge about Data One Platform (Snowflake)
• Familiar with Data Vault Concept and Design
• Knowledge of ETL (Talend)
• Ability to understand the architecture of the existing legacy landscape and come up with architectural options to do this in the SF Platform
• Ability to understand the various technologies in the complex landscape and the analytical capabilities of these technologies
• Ability to troubleshoot issues / incidents in complex data models (support OPS and DEV Teams if needed)
• Have a good understanding of the Commercial Processes in DIA and the data behind
• these processes in the Commercial Space is huge plus
• Experience as a Data Engineer and Data Architect
• Good understanding of Data and Analytics Architecture patterns
• Proficiency in data transformation, with a preference for SQL (high-level of SQL skills
• required for complex queries), Snowflake and dbt (nice-to-have)
• Experience in a CI/CD setting (DataOps, GitLab)
• Experience in Data Products and Data Mesh Concepts and Information Architecture and Modeling
• Good understanding of data input & output formats - APIs, extracts, user inputs etc
• Solid understanding of data retrieval, storage, manipulation
• Experience setting up data sharing agreements
• Experience defining observability rules and mechanisms
• Knowledge of AWS (nice-to-have)