Big Data Solutions Architect

1 week ago


Hyderabad, Telangana, India Tiger Analytics Full time
Job Title: Big Data Solutions Architect

About Tiger Analytics:

Tiger Analytics is a leading provider of data analytics solutions, dedicated to helping businesses make informed decisions.


Salary: $180,000 - $250,000 per year.

Job Description:

We are seeking an experienced Big Data Solutions Architect to lead the design and implementation of scalable and resilient big data solutions using cloud platforms.


Key Responsibilities:
  1. Infrastructure and Platform Strategy: Develop comprehensive infrastructure and platform strategies for big data solutions, optimizing compute and storage resources for efficient processing and storage of big data.
  2. Compute and Storage Optimization: Implement best practices and architectural patterns to optimize compute and storage resources, ensuring high performance and cost-effectiveness of big data solutions.
  3. Cost Optimization: Design cost-effective solutions by leveraging cloud-native services and optimizing resource utilization, effectively managing cloud spend while maintaining performance and scalability.
  4. Security Standards and Strategy: Define and enforce robust security standards and strategies for cloud environments, ensuring compliance with industry regulations and internal policies.
  5. Solution Architecture and Design: Lead the design and architecture of complex big data solutions, incorporating Databricks and AWS services to meet business requirements.
  6. Technical Leadership and Guidance: Provide technical leadership and guidance to project teams, mentoring and coaching team members on infrastructure and platform design principles and best practices.

Qualifications:
  1. Bachelor's degree in Computer Science, IT, or a related field.
  2. 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.
  3. Strong proficiency in designing scalable and resilient architectures for big data solutions, optimizing compute, storage, and cost.
  4. Extensive experience in defining and implementing security standards and strategies for cloud environments, ensuring compliance and data protection.
  5. Proven track record of designing and implementing complex big data solutions, integrating Databricks and AWS services to meet business requirements.
  6. Excellent analytical, problem-solving, and decision-making skills.
  7. Strong communication and collaboration skills, capable of engaging with technical and non-technical stakeholders effectively.


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