Provide architectural guidance to two or three concurrent data delivery teams
Design and evolve data architecture across a Databricks-first lakehouse in a broader Azure ecosystem
Partner with engineering teams to support their detailed solutions and implementation through design reviews
Specify data solutions that meet non-functional requirements (NFRs)
Perform technology evaluations in support of the teams
Assess technical challenges and problems, provide options, and make recommendations
Guide ingestion and integration strategies, including API-based data exchange

~7–10 years of progressive experience in data engineering, pipeline development, and data architecture roles developing Data Lakes and Data Warehouses
Strong experience designing and working with the full lifecycle of data-centric architectures
Hands-on experience with cloud development in Databricks
Experience with structured and unstructured data (e.g., JSON, files, media)
Understanding of both relational and non-relational solutions
Understanding of APIs and data integration patterns
Strong communication and stakeholder influence skills (written + verbal)
Know when to make independent decisions and when to circle back to the broader team with appropriate questions
Work within a new domain by identifying gaps in knowledge and actively seeking answers

Lead Data Architect

Key skills