Databricks Engineer

Team Summary

Our Business Intelligence group is a center of excellence at the Firm for data analytics data management and data governance with a focus on enhancing data and analytics literacy reliability and accessibility and developing an umbrella strategy for data and information governance throughout the Firm. The group is responsible for transforming data into actionable insights to support strategic decision-making and enhance operational efficiency. Our teams collect analyze and interpret growing amounts of data from core internal and external sources. We develop and maintain datasets dashboards and reports that provide real-time visibility into key performance indicators and trends. By leveraging advanced analytics and data visualization techniques the Business Intelligence group identifies opportunities for growth uncovers inefficiencies and helps predict future trends. We collaborate with all functions to ensure data integrity and to tailor insights to meet specific business needs. Through our expertise in data analysis and strategic thinking the Business Intelligence team empowers the Firm to make informed data-driven decisions that drive success and competitive advantage.

Position Summary

The Databricks Engineer will join an agile delivery team responsible for building and supporting the Firms enterprise data platform on Azure Databricks. The role will design develop test and operate scalable data pipelines and curated data products that integrate information from on-premises cloud and third-party systems. Working closely with business analysts architects application teams and stakeholders the specialist will translate business requirements into reliable technical solutions and deliver work through Azure DevOps and Microsoft Github. Strong communication skills are essential for explaining data designs pipeline behavior data quality and delivery decisions to both technical and business audiences.

Duties and Accountabilities

The roles and responsibilities of this job include:

• Design build test deploy and support scalable data pipelines and data products on Azure Databricks.
• Develop ingestion and transformation processes for data from on-premises cloud SaaS and third-party sources using batch and where appropriate streaming patterns.
• Use SQL and Python or PySpark to transform validate and optimize large and complex datasets.
• Design and maintain reusable data structures across raw refined and curated layers applying dimensional modeling and star schema principles where appropriate.
• Build reliable Delta Lake solutions and apply Databricks capabilities for orchestration performance observability and data quality.
• Manage and govern data assets through Unity Catalog including appropriate access controls lineage documentation and secure handling of sensitive information.
• Apply software engineering practices such as source control code review automated testing reusable components and CI/CD and help develop coding standards patterns and templates that support consistent delivery across the team.
• Monitor production workloads troubleshoot failures and performance issues and improve the reliability efficiency and cost effectiveness of the platform.
• Partner with business analysts architects application teams and subject-matter experts to define requirements source data technical designs and delivery plans.
• Translate business concepts into trusted well-documented data products that support analytics reporting and AI use cases. Share knowledge and help plan and lead technical sessions that strengthen the teams Databricks and data engineering capabilities.
• Contribute to data governance architecture standards and engineering practices that improve the quality consistency security and availability of enterprise data.
• Stay current on Azure Databricks and related Azure capabilities and recommend practical improvements to the platform and delivery approach.

Qualifications

The qualifications for this role are:

• At least five years of experience delivering production data engineering data warehouse or business intelligence solutions.
• Bachelors degree in technology engineering computer science or a related field or an equivalent combination of education and experience.
• Hands-on experience with Azure Databricks Apache Spark Delta Lake and lakehouse architecture.
• Strong SQL skills and practical experience with Python or PySpark for data transformation and pipeline development.
• Experience designing and supporting batch data ingestion ELT processes orchestration error handling monitoring and data quality controls.
• Strong knowledge of data architecture dimensional modeling star schemas query design and performance optimization.
• Experience integrating relational databases APIs files cloud applications and other enterprise data sources.
• Working knowledge of Unity Catalog data governance access controls lineage and secure data handling.
• Exposure to semantic models business ontologies agentic AI patterns or standards such as Model Context Protocol (MCP).
• Experience with Git-based development automated testing and CI/CD practices using GitHub GitHub Actions Azure DevOps or comparable tooling.
• Familiarity with relevant Azure services such as Azure Data Lake Storage Azure Data Factory Key Vault and networking or identity services.
• Knowledge of software development life cycle concepts and agile delivery methods.
• Strong analytical troubleshooting and communication skills with the ability to explain technical concepts clearly to business and technical stakeholders.
• Ability to work independently and collaboratively manage competing priorities and deliver reliable solutions within established timelines.

This role reports to

Associate Director Data Architecture & Integration

Equal Opportunities

White & Case is an Equal Employment Opportunity (EEO) employer and is committed to creating a fair workplace. It is our Firms policy to recruit employ train compensate and promote without regard to race color religion creed national origin age gender sexual orientation marital status military or veteran status disability genetic information or any other category protected by applicable law.

Applicants who are interested in applying for a position and require an accommodation during the process should contact

Benefits at White & Case

White & Case LLP offers a comprehensive suite of benefit programs to all eligible employees including medical dental and vision insurance life and disability coverage 401(k) retirement savings vacation time and leave programs (including parental leave). Exempt roles are also performance bonus eligible.

The Firm may modify and amend any job description at any time in its sole discretion. Nothing herein creates a contract of employment or otherwise modifies the at-will nature of employment.

The above is only a general description of the essential duties associated with this position and does not represent an exhaustive or comprehensive list of all duties.

Note to Recruitment Agencies

Our internal Recruitment team manages all aspects of lateral hiring. All agencies must have signed terms of businessspecific to the relevant officebefore submitting any candidates. CVs or applications sent directly to White & Case partners or employees will also not be considered formal introductions. If you have questions please contact the relevant Recruitment team. We work with our preferred suppliers when engaging agencies.