Data Architect with Azure and Databricks

The Work

• Design and implement scalable cloud-based data warehousing and analytics solutions using Azure Data Lake, Azure Databricks, Microsoft Fabric and related services, such as Power BI.
• Define best practices for data governance, security, performance optimization and cost efficiency in Azure and Databricks environments.
• Collaborate with 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, such as Unity Catalog and 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 current with Azure, Databricks and Fabric innovations and apply industry trends to projects.
• Collaborate throughout project development with business analysts, source-system experts, data architects, engineers and product owners.
• Propose and defend effective, consistent solutions that balance strategic development with existing architecture.
• Communicate and document work clearly, considering performance and cost in design decisions.

Work may combine remote work, client-site work and office-based work, depending on project circumstances. Some in-person time is required for collaboration, learning and relationship building.

What’s In It For You?

• Work on cloud migration and large-scale data platform projects across industries including power engineering, automotive and finance.
• Engage in diverse, complex solutions and data-architecture challenges.
• Expand skills through collaboration with experts and exposure to modern concepts and architectures.

Qualifications

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

Bonus Points If You Have

• Familiarity with machine learning or GenAI integration, including operationalizing AI/ML models or using LLMs within Databricks and Azure.
• Knowledge of modern data-stack tools, such as dbt, Power BI, Tableau and 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, such as GDPR, HIPAA and SOC2.
• Experience leading data-modernization programs in large enterprise environments.
• Databricks Associate or Professional series certifications.
• Microsoft certifications in Microsoft Fabric and Azure.

What We Offer

• Permanent employment contract.
• Individual support from a People Lead, a defined professional-development path and the option of a coaching session.
• Training package covering soft, technical and language training; e-learning platforms; Gallup test; GenAI training; and course and certification co-financing.
• Employee Assistance Program with legal, financial and psychological consultations.
• Employee share purchase plan, with eligibility for quarterly dividends for employees who own company shares.
• Paid employee referral program.
• Private medical care and life insurance.
• Access to the MyBenefit platform, including a wide range of products and services such as the Multisport card.