Senior Data Solutions Engineer

• Acting as Technical Lead for client-facing data analytics engagements, guiding solution design, delivery approach, and technical decision-making
• Leading discovery and data assessment activities to evaluate data availability, quality, and feasibility for analytics, reporting, and data management initiatives
• Designing, modeling, and onboarding new datasets into the enterprise Data Platform while ensuring alignment with platform standards and client requirements
• Developing and overseeing custom analytics solutions including reports, dashboards, semantic models, queries, and views to support advanced data consumption
• Defining and implementing data quality rules and validation checks beyond standard platform capabilities
• Reviewing solution designs to ensure scalability, reliability, maintainability, and alignment with long-term platform strategy
• Serving as the primary technical point of contact for clients, translating business needs into actionable technical solutions and managing expectations
• Balancing client requests with platform integrity, security, and sustainability while representing company best interests

• Bachelor’s or master’s degree in computer science, Mathematics, Statistics, Economics, Management Information Systems, or a related field
• Strong proficiency in SQL for querying and data transformation
• Experience using Python for backend development and/or data processing
• Proven experience building or operating enterprise data platforms supporting complex analytics and diverse datasets
• Hands-on experience with modern data platforms such as Snowflake or Databricks
• Experience working with cloud platforms, preferably Azure, including compute, storage, and security concepts
• Understanding of data governance and master data management concepts
• Strong communication skills with the ability to collaborate across technical and non-technical teams

Comprehensive benefits package