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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and operation of scalable, reliable cloud data platforms and pipelines for analytics, reporting, and AI use cases.
Own data architecture including batch and streaming ETL/ELT pipelines, data modeling, metadata management, and production monitoring.
Mentor and provide technical leadership to data engineering teams while coordinating cross-team delivery and migration efforts.
Minimum Requirements
Minimum 6+ years of experience in data engineering or related roles with ownership of production data systems.
Proficiency in Python, PySpark/Spark, and advanced SQL for distributed data processing pipelines.
Hands-on experience with cloud platforms primarily GCP and Azure, including BigQuery, Databricks, and Azure Data Lake.
Bachelor's degree in Computer Science, IT, Engineering, or related field; advanced degree is a plus.
Ideal Candidate Profile
Experienced technical leader capable of balancing hands-on coding with team mentorship and cross-functional stakeholder engagement.
Strong cloud-native data platform architect with expertise in lakehouse architectures and data governance practices.
Familiar with AI data needs including preparing and governing datasets for Generative AI, semantic search, and retrieval workflows.