
Chief Data Architecture Expert
1 week ago
This role is responsible for leading data engineering teams and driving the design, development, and implementation of large-scale data processing systems.
Key Responsibilities:
- Manage distributed teams across multiple geographies and time zones.
- Collaborate with architects, product managers, and operations to deliver business outcomes.
- Develop expertise in Scala and Python programming languages.
- Gain a deep understanding of HDFS internals and migration strategies.
- Implement Apache Iceberg (or similar table formats) for schema evolution, ACID transactions, and time travel.
- Run Spark and/or Flink jobs on Kubernetes using operators like Spark-on-K8s or Flink-on-K8s.
- Work with distributed blob storages like Ceph or AWS S3.
- Design ingestion, transformation, and enrichment pipelines for large-scale datasets.
- Use Infrastructure-as-Code (Terraform, Helm) for provisioning data infrastructure.
- Communicate complex technical concepts effectively.
This position requires a strong technical background in big data engineering, with a focus on scalability, reliability, and performance. If you are passionate about building complex data processing systems and leading high-performing teams, this could be an exciting opportunity.
Mandatory Qualifications:
- Leadership experience managing teams.
- Effective collaboration with cross-functional teams.
- Proficiency in programming languages.
- Deep understanding of data processing systems.
- Experience with big data technologies.
- Knowledge of cloud-based platforms.
- Ability to communicate complex ideas.
What We Offer:
A dynamic work environment with opportunities for growth and development.
How to Apply:
Apply now to take the first step towards this exciting opportunity.
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