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Tier-1 brand, metro location, and broad multi-cloud Snowflake/Databricks skillset increase candidate competition.
Strong specialized data engineering, Snowflake/Databricks, and multi-cloud requirements reduce cross-industry transferability.
Explicit 10+ years plus mandatory Snowflake, Databricks, multi-cloud, and CI/CD skills create strict filters.
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Lead design and development of scalable, secure multi-cloud data engineering solutions using Python, Microsoft Fabric, Snowflake, and Databricks.
Architect and optimize ETL/ELT workflows including CDC, batch, streaming, and near real-time data pipelines.
Provide technical leadership through code reviews, mentorship, architectural guidance, and collaboration with cross-functional teams.
10+ years of hands-on software development and data engineering experience.
Strong expertise in Python, Microsoft Fabric, Snowflake, Databricks, REST API development, and CI/CD pipelines.
Experience with multi-cloud environments (Azure and AWS preferred) and containerization/orchestration technologies (Docker, Kubernetes).
Minimum Bachelor’s degree or equivalent in Engineering or Computer Science.
Experienced leader capable of mentoring teams and driving architectural decisions in enterprise-scale cloud data platforms.
Deep technical background in multi-cloud data engineering environments using modern tools and technologies outlined (Microsoft Fabric, Snowflake, Databricks).
Strong operational focus on performance optimization, debugging, production support, and delivering aligned business outcomes in agile environments.