Position Details
About this role
This role involves leading the development of enterprise-grade data platforms, managing cross-functional teams, and implementing advanced data infrastructure and MLOps practices to support analytics and machine learning initiatives.
Key Responsibilities
- Drive product strategy and roadmap for data infrastructure
- Lead cross-functional teams for data engineering capabilities
- Implement MLOps practices for model lifecycle
- Collaborate on knowledge management and semantic data
- Champion data quality initiatives
Technical Overview
The technical environment includes Databricks, cloud platforms (AWS, Azure, GCP), Apache Spark, Kafka, Airflow, and MLOps tools, focusing on scalable data pipelines, data quality, and model lifecycle management.
Ideal Candidate
The ideal candidate is a senior data platform professional with extensive experience in building scalable data infrastructure, proficient in Databricks, cloud platforms, and MLOps practices, with a strong background in product management and cross-functional collaboration.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Databricks or cloud platforms, Less than 8 years of relevant experience, No experience with MLOps or data engineering tools, No degree in relevant technical fields
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