Senior Data Engineer

Job duties:

• Design, develop, and maintain scalable data solutions using Databricks, Azure, and Microsoft technologies.
• Develop and maintain data pipelines for ingestion, transformation, integration, and data consumption.
• Design and implement conceptual, logical, and physical data models based on business and technical requirements.
• Implement data architecture patterns and standards established by Principal Engineers and Architects.
• Contribute to data modernization, migration, and consolidation initiatives.
• Support the decomposition and transformation of legacy data structures and applications.
• Develop scalable and maintainable data solutions that support complex business domains.
• Collaborate with Principal Engineers, Architects, and Engineering teams to implement enterprise data strategies.
• Troubleshoot and optimize data pipelines, models, and platform components for performance, reliability, and scalability.
• Apply data quality and validation practices to ensure data accuracy and consistency.
• Participate in code reviews and contribute to engineering standards and reusable solutions.
• Work with cross-functional teams to understand requirements and translate them into technical solutions.
• Document data models, technical solutions, and implementation decisions.
• Support continuous improvement of data engineering practices, architecture, and platform capabilities.

Requirements:

• 5+ years of experience in Data Engineering or a related technical discipline.
• Strong hands-on experience with Databricks.
• Strong experience working with Microsoft Azure.
• Strong knowledge of the Microsoft data ecosystem.
• Solid understanding of conceptual, logical, and physical data modeling.
• Experience designing and implementing scalable data solutions and data pipelines.
• Experience with data ingestion, transformation, integration, and downstream data consumption.
• Experience working with relational and/or NoSQL databases.
• Experience contributing to data migration, modernization, or re-platforming initiatives.
• Understanding of data architecture and how data models support business domains and applications.
• Ability to translate business and technical requirements into effective data solutions.

Nice to have:

• Experience with domain modeling or domain-oriented data architecture.
• Experience with multi-tenant data solutions.
• Experience consolidating or migrating data from multiple databases or legacy systems.
• Experience with Azure Data Factory, Azure Synapse, Azure SQL, Microsoft Fabric, or Power BI.
• Experience with Python, SQL, or PySpark.
• Experience with CDC / Change Data Capture, event-driven architectures, or messaging.
• Experience with data quality, governance, metadata, or data discovery.