Databricks Architect
About The Position
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. 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. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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.
- Experience with hadoop environment.
- Databricks platform knowledge
- Unity Catalog migration implementation exposure
- Spark Streaming pipeline design exposure
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
