Data Architect with Azure and Databricks
Quick Summary
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,
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.
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.
Advise clients on modernization strategies, including migration from legacy on-premises databases to Azure and Databricks-based architectures.
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.
Work on cloud migration and large-scale data platform projects across industries such as power engineering, automotive, finance and more.
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.
Nice to Have
~1 min readFamiliarity 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.
Requirements
~1 min readWhat We Offer
~1 min readAccenture does not discriminate employment candidates on the basis of race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation or any other basis impermissible under Polish law.
All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long-lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities.
Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed into everything we do and for everyone we work with.
Visit us at www.accenture.com
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Location & Eligibility
Listing Details
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 27, 2026
Signal breakdown
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