Data Architect with Azure and Databricks
Accenture Poland
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Benefits offered by this job
Job summary
Qualifications
- Strong hands-on experience designing and implementing data platforms in Azure and Databricks.
- Proven experience in designing data platforms in Azure cloud.
- Expertise in SQL, PySpark, and ELT/ETL design patterns.
Responsibilities
- Design and implement scalable cloud-based data warehousing solutions.
- Collaborate with cross-functional teams to deliver end-to-end data solutions.
- Advise clients on modernization strategies and data governance.
Skills
Education
Tools
Job description
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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.
- 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.
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.
- 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.
- 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.
- 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.
- 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).
Accenture 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.
When applying please enclose the below statement:
"I hereby consent to the processing of my personal data by Accenture sp. z o.o. with its registered seat in Warsaw (00-121), at ul. Sienna 39, NIP 526-00-15-900 (Data Controller), in accordance with the Act of May 10, 2018, on the Protection of Personal Data (Journal of Laws of 2018, item 1000) and the Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive), necessary to carry out the recruitment process by Accenture. At the same time, I declare that I provide my personal data completely voluntarily. I also declare that I have been informed about my right to withdraw my consent or object to processing of data, request access to them, rectification, deletion, limitation of processing and their transfer, at any time and the right to lodge a complaint to the data protection supervisory authority."
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Mid-Senior level
Full-time
Engineering and Information Technology
IT Services and IT Consulting
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