Senior Cloud Data Architect

PwC Poland’s Cloud & Digital team provides services in cloud computing including Cloud Strategy, Cloud Migrations, Data Analytics, DevOps, Application Modernisation & Cloud Native. They support clients in innovation adoption, new business model creation, and operational performance improvement.

• Minimum 5 years in data architecture and data engineering roles or related experience such as Business Intelligence or Data Science
• Hands-on experience with data transformation tools like Databricks, Snowflake, BigQuery, Azure Fabric
• Experience building data warehouses, data lakes, and lakehouses using Azure Data Factory and Azure Synapse Analytics
• Proficiency in Business English at B2 level or above, including writing technical documentation
• Experience with new technologies and AI-based tools in daily work (e.g., task automation, information analysis, content creation)

Nice to have:

• Cloud certifications in Azure, AWS, or Google Cloud
• Data Governance certifications such as DAMA
• Training via online platforms like Coursera, Udemy, Datacamp
• Experience writing data transformation scripts using Python (PySpark) and SQL
• Experience with Data Engineering CI/CD practices and release management using Azure DevOps and/or Jira
• Application of data modelling frameworks including Kimball dimensional modelling
• Proven experience conducting data assessments across multiple data domains and systems of record (ERPs, CRMs)
• Experience in Data Strategy and Governance projects focusing on Data Quality improvement
• Familiarity with agile methodologies like Scrum
• Exposure to Data Science and Analytics use cases, including Machine Learning and Generative AI for business forecasting and demand planning
• Experience supporting senior stakeholders including Chief Data Officers in medium to large businesses in Manufacturing, Consumer Goods, or Financial Services

• Oversee creation of data models to support business architecture delivery
• Create data entity diagrams and data workflows based on data asset inventories
• Define data flow through the data platform from ingestion to presentation
• Design migration plans for moving data from legacy systems to new solutions
• Design and assist in building modern data architecture for enterprise data platforms
• Conduct comprehensive data assessments across multiple systems to identify and remediate data quality issues
• Interface with senior stakeholders and leverage expertise in data transformation tools such as Databricks, Snowflake, and Azure Fabric
• Act as Technical Lead on data transformation projects supporting data engineers, modellers, and analysts
• Develop and share perspectives on modern data architecture as part of training efforts
• Help create data standards and policies, especially around Master Data Management and Data Quality
• Build data warehouses and data lakes using tools like Azure Data Factory
• Provide insights into Data Science and Data Analytics use cases within Consumer Goods, Retail, Manufacturing, and Financial Services sectors

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