22 days ago
Hyderābād, IndiaSenior / Staff+
Responsibilities
- Own end-to-end architecture and scope for Azure solutions focused on value, security, scalability, reliability, performance, and cost.
- Lead technical design, implementation guidance, design reviews, pull-request reviews, and cloud guardrails for delivery teams.
- Design end-to-end data architectures spanning ingestion, lakehouse, and consumption.
- Lead discovery and requirements sessions, shape prioritized backlogs, define acceptance criteria, and manage dependencies across teams.
- Mentor engineers, senior engineers, technical leads, and other architects through pairing, design reviews, and feedback.
- Guide hybrid and remote teams toward aligned outcomes, predictable delivery, low defect rates, and incremental releases.
- Participate in client workshops, demos, roadmap discussions, solution design, estimates, and business-development pursuits.
- Create reusable runbooks, workshops, starter repositories, templates, and enablement materials.
- Support technical interviews, calibration discussions, hiring, and cross-project mentorship.
- Use AI-assisted development practices and emerging technologies to improve productivity, delivery, and business value.
Requirements
- 9 to 13 years of overall experience is stated for the role.
- At least 6 years delivering solutions in a primary domain such as application development, cloud platform engineering, DevOps, or data and analytics.
- At least 3 years of solution architecture experience and experience leading development or engineering teams.
- 7 to 10 years of experience in data engineering and platform design.
- Expertise in at least one major public cloud platform, with Azure strongly preferred.
- Deep hands-on expertise with Databricks and Azure data services.
- Proven experience designing enterprise data solutions.
- Experience leading hybrid and remote teams across time zones while maintaining alignment, quality, and predictable delivery.
- Experience using AI-augmented development and integrating AI or machine learning capabilities through APIs, libraries, or cloud-based AI services.
- Strong knowledge of core concepts, languages, frameworks, and design patterns in the primary domain.
- Experience with Agile or Scrum environments, including backlog refinement and iteration planning.
- Consulting or professional-services experience is a plus.
- Familiarity with cloud services covering messaging, compute, data, security, networking, and integration.
- Strong analytical, problem-solving, written communication, and verbal communication skills.
- Ability to work hands-on with implementation while designing and communicating complex cloud architectures.
- Experience operating in large, matrixed consulting organizations or Global System Integrator environments.
Benefits
- Hyderabad location with a night-shift schedule.
Tech Stack
AzureDatabricks
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.