Senior Data Engineer - Databricks
Wilmington, Delaware-Onsite
Full Time
JOB DESCRIPTION
Responsibilities:
· Partner closely with business to understand problems, shape requirements, and define data solutions with clear outcomes.
· Lead and mentor the data engineering team, driving engineering best practices and delivery excellence.
· Provide technical leadership across architecture, development, troubleshooting, and delivery to drive execution speed and quality.
· Collaborate with Data Architects, Data Scientists, and Product Owners to enable business adoption of AI and advanced analytics–driven decision making.
· Drive innovation and continuous improvement by challenging existing processes and proposing new solutions.
· Maintain and evolve the data platform for business reporting and AI workloads.
· Partner with Data Product Owners to define clear technical designs and execution plans aligned with business outcomes.
· Design and maintain scalable data ingestion frameworks supporting both batch and streaming use cases.
Experience & Skills:
· 8+years of experience in Data & Analytics, including hands-on experience with Azure data engineering technologies.
· Strong hands-on experience with Python, SQL, and PySpark.
· Strong understanding of Databricks Unity Catalog for data governance and security, along with CI/CD using DevOps.
· Experience in designing scalable, secure data architectures and building AI-ready data platforms.
· Proven ability to work with business and technical stakeholders to gather requirements and translate them into highimpact data solutions.
· Strong sense of ownership, accountability, and execution discipline across multiple initiatives.
· Excellent communication skills, with the ability to handle high-impact business stakeholder interactions effectively.
EXPERTISE AND QUALIFICATIONS
Mandatory Skillset:
Recent 4+ years of experience in Azure services/tools
Azure data factory
Python
SQL
PySpark
Databricks Unity Catalog for data governance and security
Strong sense of ownership, accountability, and execution discipline across multiple initiatives.
