Lead Data Engineer - Full WFH

This is a Lead Consultant role in Data Architecture & Engineering. You will extend and expand your knowledge and experience in technical leadership positions, including technical decision-making, guidance and mentorship of more junior team members, and developing relationships with project, client, and company leadership while remaining hands-on in your areas of expertise. The technology focus is on Azure, with opportunities to grow your skills in Microsoft and Azure in an environment committed to technical excellence and client experience. Key responsibilities

Lead small to medium sized technical teams, including work allocation and distribution to team members, technical escalation and support, and representing the team in Agile ceremonies and client meetings

• Design and implement logical and physical data models for cloud and hybrid data warehouse environments
• Implement data architectures to support a variety of data formats and structures including structured, semi-structured and unstructured data
• Execute multiple full life-cycle data warehouse implementations
• Design data architectures required to support data integration processing
• Perform data profiling and creation of source to target mappings
• Provision and configure Azure data service resources

About you

• Experience leading small to medium sized technical teams
• Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments
• Experience with multiple full life-cycle data warehouse implementations
• Understanding of data architectures required to support data integration processing
• Experience with data modeling technologies such as ER/Studio, ER/Win or similar

Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL database, Logic Apps, APIsDemonstrated ability to quickly learn, adopt and apply new technologies

Python & SQL Scripting

SQL, PySpark

• General Cloud Architecture competency skillset – capable of taking requirements and building out data pipelines
• API Knowledge is required, but preference given to candidates who can create APIs