Databricks Tech Lead

Required QualificationsExperience: 6+ years in Data Engineering, with at least 3–4 years of hands-on technical leadership experience leading engineering pods.Core Databricks & Spark: Advanced proficiency in PySpark and Databricks SQL.Ingestion Expertise: Proven experience building custom or highly configurable data ingestion frameworks for structured and unstructured data.Cloud Platforms: Strong experience working with AWS, Azure, or GCP cloud-native services (e.g., S3, ADLS).Engineering Standards: Deep understanding of data modeling (star/snowflake schemas), SCD (Slowly Changing Dimensions), and software engineering principles in a data context.Soft Skills: Excellent stakeholder management and the ability to translate complex technical architectures into business value.Preferred QualificationsExperience with Kafka, dbt, or Delta Live Tables (DLT).Databricks Certified Data Engineer Associate/Professional credentials