Data Architect with Azure and Databricks

Accenture is looking for a Data Architect with Azure and Databricks to design and implement scalable cloud-based data warehousing and analytics solutions. The role involves working with cross-functional teams on data platform projects across industries, advising clients on modernization strategies, and supporting pre-sales activities.

• Design and implement scalable cloud-based data warehousing and analytics solutions using Azure Data Lake, Azure Databricks, Microsoft Fabric and related services (e.g., Power BI)
• Define best practices for data governance, security, performance optimization, and cost efficiency in Azure and Databricks environments
• Collaborate with cross-functional teams (data engineers, data scientists, and cloud architects) to deliver end-to-end data platform solutions
• Integrate Databricks with the broader Azure ecosystem, including data lakes, AI/ML frameworks, reporting systems, and data catalogs (e.g., Unity Catalog, Purview)
• Advise clients on modernization strategies, including migration from legacy on-premises databases to Azure and Databricks-based architectures
• Support pre-sales and solutioning activities, including estimation, proof-of-concepts, and technology assessments
• Stay up to date with innovations in Azure, Databricks, Fabric and apply industry trends to ongoing projects
• Collaborate across all crucial stages of project development with business analysts, source system experts, data architects, engineers, and product owners
• Propose and defend effective, consistent solutions that balance strategic development and existing architecture
• Communicate and document work clearly, considering performance and cost factors in design decisions

• Strong hands-on experience designing and implementing data platforms in Azure and Databricks, including performance tuning, security setup, automation, and data sharing
• Proven experience in designing and implementing data platforms in Azure cloud (knowledge of AWS, GCP clouds will be an additional advantage)
• Expertise in SQL, PySpark, data modeling (3NF, star/snowflake schemas) and ELT/ETL design patterns (knowledge of popular ETL tools, including Azure Data Factory)
• Proficiency in Python or similar scripting languages for data transformation, orchestration, and automation
• Experience with advanced Databricks features (Unity Catalog, MLflow, Jobs & Pipelines and others)
• Deep understanding of cloud data architecture principles, including data Lakehouse concepts, Medallion architecture, API integration, and event-driven architecture
• Comprehensive knowledge of Azure Databricks and Microsoft Fabric architecture, encompassing familiarity with their core components, integration strategies, and established best practices for developing scalable, secure, and efficient data solutions
• Experience with CI/CD and DevOps practices for data workflows (Git, Terraform, Azure DevOps, etc.)
• Excellent communication and client-facing skills with the ability to translate business needs into technical solutions
• Proven ability to work collaboratively across multidisciplinary teams

• Permanent employment contract
• Individual support of a People Lead and a specific path of professional development, as well as the possibility of a session with a Coach
• A wide training package (soft, technical, and language training offer, access to the e-learning platforms, Gallup test, GenAI training, possibility of co-financing courses, and certification)
• Employee Assistance Program – legal, financial, and psychological consultations
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares
• Paid employee referral program
• Private medical care, life insurance
• Access to the MyBenefit platform (possibility of using a wide range of products and services, including the Multisport card)