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Senior Director of Data Engineering
Il y a 2 mois
Job Title: Senior Director of Data Engineering
Job Summary:
We are seeking a highly experienced Senior Director of Data Engineering to lead our data engineering team and drive the development of our data architecture. The ideal candidate will have a strong technical background in data engineering, cloud computing, and data governance.
Key Responsibilities:
- Lead the development of our data architecture and ensure it aligns with our business goals
- Design and implement data transformation strategies for clients
- Develop and deliver modern and enterprise-grade data platforms
- Shape cloud-native landing zones and support modern data architecture patterns
- Contribute to the definition and execution of data governance models
Requirements:
- 15+ years of IT experience with 8+ years in data-related technologies
- 3+ years of expertise in cloud-related data services (AWS/Azure/GCP)
- Experience in leading data audits/assessments, defining data strategies, and providing consulting skills to clients
- Experience in leading technical architecture, design, and delivery of data solutions in production, at scale, based on modern solutions and stacks
- Expertise in data ingestion, distributed data processing, and programming languages (Java/Scala/Python)
- Experience in NoSQL databases and use cases
- Deep understanding of data governance, data security, data cataloging, and data lineage concepts
- Good understanding of Continuous Integration and Continuous Delivery (CI/CD) using Cloud-based DevOps services or Jenkins/Bamboo
Preferred Qualifications:
- Python notebook experience
- Data pipeline orchestration experience
- Knowledge of Kafka streaming
- Parquet storage and Apache Iceberg SQL formatting experience
- Containers, Docker, and Kubernetes Engine experience
- Distributed messaging queues experience (RabbitMQ/ActiveMQ)
- Data security experience (raw-level security, multi-tenancy pattern, column-based masking, filtering, minimization, anonymization/pseudonymization techniques)
- One or more traditional ETL tools experience (Informatica/Talend)
- Search/indexing technologies experience (Solr)
- Knowledge of machine learning
- Agile ways of working (Scrum/Kanban)
Education:
Master's/Bachelor's degree in Computer Engineering, Computer Science, or a related field.
