
Data Cloud Solutions Architect
23 hours ago
The ideal candidate for this role will be an experienced and results-driven Tech Lead with a strong background in Java and Apache Spark to oversee the development and deployment of cloud-based data solutions.
Key Responsibilities:
- Design, develop, and deploy scalable and reliable data processing systems using Java and Apache Spark in a cloud environment.
- Architect and implement big data processing pipelines utilizing technologies such as Apache Spark and cloud-native services.
- Develop and manage serverless applications and integrate them with cloud services to build efficient and maintainable solutions.
- Use container orchestration tools (e.g., Amazon EKS or equivalent) to manage microservices-based applications.
- Design and implement workflow orchestration solutions (e.g., Apache Airflow) for managing complex data pipelines.
- Collaborate with cross-functional teams (including product, data, and operations teams) to define technical requirements and ensure smooth integration across services.
- Mentor and guide development teams on Java best practices, cloud architecture, and data engineering principles.
- Monitor and optimize the performance and cost-efficiency of deployed solutions in cloud environments.
- Stay updated on emerging technologies, tools, and best practices to continuously drive technical excellence and innovation.
Required Skills:
- Strong hands-on experience in Java development.
- Proficiency in Apache Spark for distributed data processing.
- Experience with cloud platforms and services (e.g., EMR, Lambda, EKS, Airflow, or their equivalents).
- Solid understanding of serverless architectures and microservices design.
- Demonstrated leadership and team mentoring experience.
- Excellent problem-solving, communication, and collaboration skills.
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