Senior Solutions Architect
Databricks is seeking an experienced Senior Solutions Architect to join our growing team in Bengaluru, India. This pivotal role requires building robust data solutions for enterprise clients across various industries. You will be responsible for the entire solution lifecycle, from initial discovery workshops to final deployment and optimization. Key duties include evaluating client infrastructure gaps, proposing optimal architecture blueprints utilizing the Databricks Lakehouse Platform, developing complex proof-of-concepts, and ensuring alignment with business KPIs. Ideal candidates have 5+ years of experience in data consulting, deep knowledge of distributed systems, mastery of modern cloud data stacks (AWS/Azure/GCP), and exceptional communication skills to translate technical possibilities into clear business value propositions. This is a challenging role for an expert problem-solver.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
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1800
Fragensatz
250
Dauer
Permanent
Schwerpunkte
People Also Ask (FAQs)
What is the last date to apply for Senior Solutions Architect?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Solutions Architect?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the databricks test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Senior Solutions Architect test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Data Architecture, Cloud Platforms, AWS/Azure/GCP, SQL, Python.
Schnellstart
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