Sr. Solutions Architect
The Sr. Solutions Architect will serve as a key technical advisor, partnering with enterprise clients in the Financial Services space to design, implement, and optimize modern data lakehouse architectures on the Databricks platform. You will be responsible for translating complex business challenges into robust, scalable, and secure cloud data solutions. Key responsibilities include leading discovery workshops, defining architectural roadmaps (covering ingestion, processing, storage, and consumption), providing deep technical expertise in Spark and Delta Lake, and guiding clients through their migration to a unified cloud platform. The ideal candidate possesses strong consulting skills combined with deep hands-on experience across major public clouds (AWS/Azure). This role requires anticipating future data needs and recommending proactive technology shifts to maximize business value while ensuring governance and compliance.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1850
Question set
250
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Sr. Solutions Architect?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Sr. 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 Sr. 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 Engineering, Cloud Computing, Delta Lake, Spark, AWS/Azure/GCP.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.