Offer summary

Qualifications:

12+ years of experience in architecture, design, and data engineering for large-scale data ecosystems., Strong knowledge of Databricks platform and experience with AWS., Proven leadership and communication skills, with the ability to work independently., Experience with performance tuning and DevOps processes on the Databricks platform..

Key responsibilities:

Design and architect scalable and secure Databricks solutions to optimize performance and cost.

Implement monitoring tools to reduce consumption and improve performance issues.

Drive performance initiatives and provide recommendations for tuning opportunities.

Implement DevOps processes and harmonize curation pipelines across programs.

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Databricks Architect to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.

Requirements

12+ years of experience in Architecture, design and data engineering development of large-scale data ecosystems.
Databricks Design and Architecture: Design and architect scalable and secure Databricks solutions platform, optimizing performance, cost, and reliability.
Hands on Databricks/Dataops Architect that can help reduce consumption, and improve performance issues. Can help build monitoring tools.
Good exposure to AWS. Strong comm and leadership skills and Self driven and work independently.
Experience in Performance initiatives and drive recommendations (identify tuning opportunities, creation of performance environment etc.
Implement DevOps process on the Databricks platform , harmonized and curation pipelines across all the programs.
Experience with hadoop environment.

Core Skills:- Databricks platform knowledge, Unity Catalog migration implementation exposure, Spark Streaming pipeline design exposure

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

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