Big Data Platform Architect
2 weeks ago
Job Description
Position Overview: Tiger Analytics is seeking a highly skilled and experienced Cloud and Big Data Platform Architect to lead the design, implementation, and optimization of data and analytics solutions with a strong emphasis on infrastructure and platform strategies. The candidate will be responsible for collaborating with cross-functional teams to create robust and scalable platforms that meet business requirements.Key Responsibilities:- Develop and drive comprehensive infrastructure and platform strategies for big data solutions using Databricks and AWS cloud environments.
- Implement best practices and architectural patterns to optimize compute and storage resources, ensuring high performance and cost-effectiveness of big data solutions.
- Design cost-effective solutions by leveraging cloud-native services and optimizing resource utilization, effectively managing cloud spend while maintaining performance and scalability.
- Define and enforce robust security standards and strategies for Databricks and AWS environments, ensuring compliance with industry regulations and internal policies.
- Lead the design and architecture of complex big data solutions, incorporating Databricks and AWS services to meet business requirements while adhering to infrastructure and platform best practices.
- Bachelor's degree in Computer Science, IT, or a related field.
- Total 15+ years of experience with 7-10 years of experience in infrastructure and platform design roles, with a focus on big data solutions leveraging cloud platforms.
- Strong proficiency in designing scalable and resilient architectures for big data solutions, optimizing compute, storage, and cost.
- Extensive experience in defining and implementing security standards and strategies for cloud environments, ensuring compliance and data protection.
- Proven track record of designing and implementing complex big data solutions, integrating Databricks and AWS services to meet business requirements.
- Excellent analytical, problem-solving, and decision-making skills.
- Strong communication and collaboration skills, capable of engaging with technical and non-technical stakeholders effectively.
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