Azure Data Architect | AI & Data Practice | Consulting @ Deloitte
(práce v Polsku)

Azure Data Architect | AI & Data Practice | Consulting @ Deloitte

Polsko

What do we expect from you? ?

• 5+ years of experience as a Data Architect or Data Engineer with a focus on Azure cloud services.
• Strong expertise in Azure Data Services including Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, and Azure SQL.
• Hands-on experience with ETL/ELT processes, data warehousing, and data lakes.
• Knowledge of Big Data technologies such as Apache Spark, Hadoop, or related frameworks.
• Experience with data modeling, relational and NoSQL databases (SQL Server, Cosmos DB, etc.).
• Familiarity with Azure DevOps for CI/CD pipeline setup for data workflows.
• Ideally active Microsoft Azure Solutions Architect or Azure Data Engineer certification.
• Expertise in cloud security best practices and data governance in an Azure environment.
• Proficiency in Python, SQL, and/or other scripting languages used in data transformation.
• Strong problem-solving skills and ability to work in a fast-paced, team-oriented environment.
• English to an excellent level - you will use it every day (German will be considered plus)
• EU passport - you may have business trips within the EU

We are looking for an Azure Data Architect to join our international AI & Data team. Our team provides both external and internal clients with big data analytics, advanced analytics, integrations, machine learning and artificial intelligence solutions. We help our clients to make the most from their data. We also develop and deploy our own cloud-based products.

Join the best company providing AI & Data Science services (No. 1 according [1] to Gartner Magic Quadrant for Data and Analytics Service Providers 2021). ?

What we offer:

• New professional challenge - be part of the strategic growth of the AI & Data division in Central Europe & beyond
• Diverse and complex projects for leading companies in various industries across Europe
• Long-term development and career growth - we are a strategic partner of various technology providers (e.g., cloud hyper-scalers, ERP & CRM leaders)
• A great international team of experienced professionals and collaboration with Deloitte consultants around the world.
• Challenging tasks with the freedom of action in your field
• Friendly team atmosphere, flexible working set-up and excellent working conditions
• A clear career path and Career Coach, who will guide you through the organization and your opportunities
• And a wide range of benefits: professional training and certification, travel insurance, regular team building events and much more
• ? Are you interested and would you like to learn more? Let us know and we will contact you for more information.

,[Design and architect comprehensive data solutions on Azure, including data lakes, data warehouses, and data pipelines, Lead the development of data models, data integration, and ETL processes to support business intelligence, reporting, and advanced analytics, Lead the developers’ teams implementing architectures during projects delivery, Implement and optimize Azure-based services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure SQL Database, Provide leadership in the architecture and delivery of data storage, processing, and integration strategies using modern data platforms, Ensure security, scalability, and performance of data solutions, following cloud and data governance best practices, Work with clients throughout the whole project cycle - Business understanding, Data understanding, Modeling, Evaluation and Deployment, Take active part in creating the proposals for our clients and help in developing business expansion, Coach other team members on Data Architecture related matters, Stay current on Azure’s evolving services and features, advising on potential innovations or optimizations] Requirements: Azure Cloud, Databricks, Azure SQL, ETL, Apache Spark, Hadoop, Data modeling, NoSQL, SQL Server, DevOps, CD, Microsoft Azure, Cloud security, Python, SQL, Scripting language

Kategorie

data

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