Lead Data Engineer (#2173)

We are seeking a forward-thinking and highly skilled Lead Data Engineer specializing in Databricks to help with the engineering side of a significant data transformation program for our customer.

Key Responsibilities:

• Work closely with cross-functional teams to grasp business requirements and architect scalable, efficient data solutions
• Define data architectures, data models, and data integration strategies aligned with business goals
• Work with the design and implementation of data pipelines and data lakehouse solutions
• Build scalable data pipelines for analytics use cases
• Develop and optimize technical and physical data models
• Automate processes and optimize infrastructure
• Collaborate with technology partners to ensure high data quality
• Build data solutions following best practices
• Transform delivery work into reusable solutions

Skills and Requirements:

• 6+ years of experience in Data Engineering, with a strong emphasis on architecture
• Proven expertise in Azure and Databricks technologies
• Azure Databricks certification is a must
• In-depth knowledge of data lakehouse concepts, data management processes, and data integration techniques
• Experience with performance tuning and optimization of data pipelines
• Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment
• Excellent communication skills for conveying technical concepts to non-technical stakeholders
• Certifications in relevant technologies (e.g., Azure) would be a plus
• Innovative mindset with a constant eye on improving the productivity of data engineering work