Cloud Data Architect

Job Description & Summary As a global leader in cloud services, PwC is supported by PwC Poland’s Cloud & Digital team. We provide first-class services in all areas of cloud computing, such as Cloud Strategy, Cloud Migrations, Data Analytics, DevOps, Application Modernisation & Cloud Native. We support clients in their adoption of innovation, creation of new business models and streamlining their operational activities. We also improve the business performance of organisations. We are looking for: Cloud Data Architect Your future role: Overseeing the creation of data models to enable the delivery of the intended business architecture, Creating data entity diagrams and data workflows according to the inventories of data assets, Defining the flow of data through the data platform from the point of ingestion to the point of presentation, Designing the migration plans for moving data from legacy systems of record to systems of reference i.e., new solutions, Designing and helping to build modern data architecture for enterprise data platforms that rely on harmonized, standardized and enriched data, Conducting  comprehensive data assessments across multiple systems of record and data domains to identify and remediate data quality issues, Interfacing senior stakeholders and leveraging expertise in data transformation tools such as Databricks, Snowflake, and Azure Fabric to create modern data architecture, Acting as the Technical Lead on data transformation projects and support a muli-faceted team of data engineers, data modellers and data analysts to help them design and build target state architecture, Developing and sharing perspective on modern data architecture, as part of the training and development effort, Helping the wider Data team to create data standards and policies and specifically around Master Data Management and Data Quality, Building data warehouses and data lakes using tools like Azure Data Factory, and insights into Data Science and Data Analytics use cases within the context of Consumer Goods, Retail, Manufacturing and/or Financial Service sectors  will stand out. Apply if you have: Minimum of 5 years in data architecture and data engineering roles, although this can be considered alongside other relevant experience e.g., Business Intelligence, Data Science etc., Hands-on experience of using data transformation tools e.g., Databricks, Snowflake, BigQuery, Azure Fabric etc., Experience in building data warehouses, data lakes and data lakehouses using tools like Azure Data Factory and Azure Synapse Analytics, Proficiency in Business English at B2 level or above, with confidence to write technical documentation e.g., designing documents with support from Project Manager, Experience with new technologies and AI‑based tools demonstrated in your daily work (e.g., task automation, information analysis, content creation).

Cloud certifications in Azure, AWS, or Google Cloud, Data Governance certifications e.g., DAMA, Evidence of training using online platforms e.g. Coursera, Udemy, Datacamp etc., Familiarity with writing data transformation scripts using Python i.e. PySpark and SQL to query databases, Some experience in Data Engineering CI/CD practices and release management across Dev, QA and Production environments using tools like Azure DevOps, and/or Jira, Application of data modelling frameworks including Kimball dimensional modelling to design and build logical and physical data models, Proven experience in conducting data assessments across multiple data domains, including Product, and Customer and systems of record e.g. ERPs and CRMs, Experience of working on Data Strategy and Governance projects with a focus on improving Data Quality across key business functions, Familiarity with agile project management methodologies like Scrum to enable and scale minimal viable products, Some exposure to Data Science and Data Analytics use cases, particularly in the applications of Machine Learning and