Data Architect with Azure and Databricks

WHO WE ARE

Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song.

At the Data & Applied Intelligence hub, we work locally and globally with over 250 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting‑edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.

For more information about Accenture Technology Poland please visit our website.

THE WORK

• 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.

WHAT’S IN IT FOR YOU?

• Work on cloud migration and large‑scale data platform projects across industries such as power engineering, automotive, finance and more.
• Thrive on continuous advancement by engaging in diverse, complex solutions and data architecture challenges.
• Expand your skills set through collaboration with experts and exposure to modern concepts and architectures

HERE’S WHAT YOU’LL NEED

• 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, Loo