
Chief Cloud Data Architect
7 days ago
Overview
We seek a seasoned Cloud Data Platform Architect to design, develop, and maintain enterprise-scale data platforms in the cloud. As a key member of our data engineering team, you will play a pivotal role in shaping our cloud-based data architecture.
Key Responsibilities
- Lead the development of data storage, processing, and governance standards across all environments
- Collaborate with enterprise and application architects to align data engineering teams with overall company SDLC standards, practices, and data access patterns
- Develop and maintain a comprehensive view of data platform architecture, data acquisition, data quality, and data retention
- Provide formal and informal training for data engineers, platform engineers, and ETL developers
- Maintain knowledge of emerging technologies and architectures
- Document and publish technical principles and standards, and mentor the data engineering team to incorporate them into daily practices
Requirements
- Bachelor's degree in Information Technology, Computer Science, or related field
- 8+ years of experience in big data, database, and enterprise data architecture and delivery
- 8+ years of programming proficiency in Python, Java, or Scala
- 5+ years of hands-on experience building solutions on distributed processing frameworks such as Spark, Hadoop, or Databricks
- 5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms
- 3+ years of experience implementing cloud-based systems; AWS and/or Databricks preferred
- Strong SQL skills to create/maintain DB objects, query/load required data using data governance, and visualization tools
- Practical experience in workload management, monitoring, and performance tuning Apache Spark jobs
- Broad knowledge of data technologies, tools, and disciplines including data modeling, dimensional models, third-normal-form structures, ETL/ELT, change data capture, and slowly changing dimensions
- Experience with healthcare data is a plus; Machine Learning & MLOPs is also a big plus
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