Delivery Solutions Architect
As a Delivery Solutions Architect at Databricks, you will be instrumental in guiding clients through complex digital transformations using the Lakehouse Platform. Your mission involves assessing client data ecosystems, defining architectural roadmaps, and ensuring scalable, reliable, and high-performance solutions are implemented across diverse cloud environments (AWS, Azure, GCP). Key responsibilities include leading solution design sessions, prototyping proof-of-concepts, collaborating with engineering teams, and managing client expectations throughout the project lifecycle. Ideal candidates possess deep expertise in big data technologies, a strong consultative mindset, and proven experience translating intricate business needs into tangible, scalable technical architectures. This role demands continuous learning and dedication to best practices in modern data stack implementation.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1800
Question set
150
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Delivery Solutions Architect?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Delivery 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 Delivery 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, Architecture Design.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.