Greater Noida Uttar Pradesh Architect Jobs – 150 Open Jobs Today

Technical Architect
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- Full-time
- Oracle
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R1 RCM, Inc. —Noida, Uttar Pradesh
- Full-time
- Computer Science
- English
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Senior AI Architect
Impetus Technologies —Noida, Uttar Pradesh
- Azure
- Computer Science
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DSV —Noida, Uttar Pradesh
- Full-time
- Azure
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Samishti Infotech —Noida, Uttar Pradesh
- Computer Science
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ShaktiSoft Projects —Noida, Uttar Pradesh
- Oracle
- Java
- Master's degree
TECHNOLOGY ARCHITECT L2
Wipro Limited —Greater Noida, Uttar Pradesh
3d
Architect
Antara Senior Living —Noida, Uttar Pradesh
- Bachelor's degree
Architect - Application Development Microsoft N 4D
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
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Technical Architect

CloudSufi -
Noida, Uttar Pradesh

Apply Now

Job details

Full-time

Qualifications

Oracle
Salesforce
Spark
Google Cloud Platform
Java
AWS
Scala
APIs
SaaS
Python

Full job description

About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

Must-have:

5+ years of data engineering; at least 2 years working on connector or integration framework development
Deep Python expertise including PySpark, pyarrow, and an understanding of Spark's execution model (driver vs executor, serialization constraints, partition fan-out)
Hands-on experience with at least one SaaS ingestion platform — Fivetran, Airbyte, Google DTS, AWS Glue connectors, or equivalent — at the connector-build level, not just configuration
Strong understanding of OAuth 2.0 flows (auth code, PKCE, client credentials, JWT), rate limiting strategies (token bucket, leaky bucket, per-endpoint quotas), and incremental sync patterns (cursor, watermark, CDC)
Experience designing shared connector frameworks — reusable auth managers, rate governors, state stores — not just per-connector scripts
Ability to author and own TDDs and PRDs that can be handed to a junior engineer with minimal back-and-forth

Nice-to-have:

Prior exposure to Databricks Asset Bundles / Declarative Automation Bundles or Lakeflow pipelines
Experience with the Databricks Python Data Source API (DBR 15.4 LTS+) — extremely rare, so treat practical Spark DSv2 Java/Scala background as equivalent
GCP DTS or Cloud Data Fusion connector experience (directly transferable — this is CloudSufi's advantage in screening)
Knowledge of the specific source systems in Raj's list, particularly Social Ads APIs (Meta, LinkedIn, X) or enterprise SaaS (Salesforce, Oracle)

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