Data Architect with Azure and Databricks

• 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.

Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.

• 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).

• 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.

BONUS POINTS IF YOU HAVE:

• Familiarity with machine learning or GenAI integration - operationalizing AI/ML models or leveraging LLMs within Databricks/Azure.
• Knowledge of modern data stack tools (e.g., dbt, Power BI, Tableau, Looker).
• Exposure to data mesh or data fabric architectures.
• Understanding of cost optimization and FinOps principles for data solutions.
• Knowledge of data governance, metadata management, and compliance frameworks (e.g., GDPR, HIPAA, SOC2).
• Experience leading data modernization programs in large enterprise environments.
• Databricks Associate or Databricks Professional series certifications.
• Microsoft Certifications in the areas of Microsoft Fabric and Azure.
• Research indicates that some candidates, especially the most diverse ones, may hesitate to apply for positions if they don't meet all requirements. If you believe you possess the necessary skills, even if not meeting every requirement, we wholeheartedly encourage you to submit your application.