Hamdard Nagar Delhi Delhi Senior data architect Jobs – 577 Open Jobs Today

CTO
PinnacleU —Gurugram, Haryana
- ₹40,00,000 - ₹50,00,000 a year
- Full-time
- APIs
- AI
- Communication skills
Quick apply
Senior Data Scientist
S&P Global —Gurugram, Haryana
- Email
- Computer Science
- Master's degree
- SQL
- Health insurance
- Paid time off
Senior Data Scientist
HCLTech —Noida, Uttar Pradesh
- Computer Science
- Project management
- Bachelor's degree
Global IT Data Analyst Senior Specialist- Digital Foundations
Boston Consulting Group —Gurugram, Haryana
- Full-time
- Microsoft Excel
- Analysis skills
- Agile
Software Developer / Engineer (MEAN Stack only)
PrimaFelicitas Private Limited —Noida, Uttar Pradesh
- ₹20,000 - ₹50,000 a month
- Full-time
- Databases
- SQL
- AWS
- Health insurance
- Paid time off
Quick apply
Senior Associate - AI Solutions Architect (PEG)
Bain & Co. —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
PLA Principal IT Architect
Boston Consulting Group —Gurugram, Haryana
- Full-time
- Azure
- Master's degree
- AWS
Senior AI Architect
Impetus Technologies —Noida, Uttar Pradesh
- Azure
- Computer Science
- Salesforce
Solutions Architect, AGS-APJ-India-SA
AWS India - Haryana —Gurugram, Haryana
- Full-time
- Computer Science
- DevOps
- Engineering
Senior Technical Specialist
HCLTech —Gautam Budh Nagar, Uttar Pradesh
- Azure
- Computer Science
- Master's degree
Senior Project Architect
Weekday —Noida, Uttar Pradesh
- ₹8,40,000 - ₹13,00,000 a year
- Full-time
- AutoCAD
- Hospitality
- AI
Quick apply
7d
Senior Architect
Jacobs —Gurugram, Haryana
- Bachelor's degree
- APIs
Enterprise Architect - Infrastructure
Siemens Energy —Gurugram, Haryana
- Full-time
- Azure
- AWS
- Communication skills
8d
Senior Engagement Lead -Reporting
ProcDNA —Gurugram, Haryana
- Full-time
- Analysis skills
- Communication skills
- Analytics
Senior Manager-Engagement Management-Engagement Lead
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Sales
S&C GN - TS&T – Industry Techno & Strategy Architect - Lifesciences - Senior Manager
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Oracle
- Salesforce
Senior Big Data Engineer (Scala | PySpark | AWS Glue | Databricks)
WebSenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
5d
GCP Senior Data Lead
HCLTech —Noida, Uttar Pradesh
- Computer Science
- DevOps
- Master's degree
8d
Global IT Platform Engineer Senior Manager & Chapter Lead
Boston Consulting Group —Gurugram, Haryana
- Full-time
- Computer Science
- AWS
- Analysis skills
Senior Database Architect
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Software troubleshooting
- DevOps
Quick apply

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CTO

PinnacleU
Gurugram, Haryana

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Job details

Full-time
₹40,00,000 - ₹50,00,000 a year

Qualifications

CI/CD
Cloud infrastructure
Cloud architecture
Mobile applications
Supply chain
Encryption
Logistics
Distributed systems
Continuous integration
APIs
Data science
AI
Communication skills
SDLC

Full job description

Position: Chief Technology Officer (CTO)

Location: Gurugram

Working Days: 5 days (Mon-Fri)

Experience Required: 12+ years

Company Overview

Our Client is an app-based logistics platform focused on improving freight movement through a connected digital ecosystem for shippers, fleet owners, and other stakeholders. The company aims to solve inefficiencies in load discovery, trip execution, live tracking, route planning, capacity utilization, and service reliability through scalable logistics technology.

Role Summary

The Chief Technology Officer (CTO) will lead Our Client’s end-to-end technology vision, platform architecture, engineering execution, infrastructure strategy, data platform, and security posture. This role is expected to build a resilient, cloud-native, API-first logistics platform that can scale across geographies, customers, partners, and high transaction volumes while enabling rapid product innovation.

Core Technical Ownership Areas

1. Architecture and Platform Design

Own the end-to-end architecture of the Our Client platform, including microservices, event-driven systems, APIs, data stores, partner interfaces, and frontend applications.
Define standards for domain boundaries, service contracts, versioning, reusability, and dependency management to ensure a modular and maintainable platform.
Design systems for high availability, horizontal scalability, fault tolerance, graceful degradation, and resilience under peak loads.

2. Tech Stack and Engineering Practices

Drive technology decisions across backend, frontend, mobile, cloud, data, and integration layers based on scalability, maintainability, and business speed.
Institutionalize strong engineering practices including clean architecture, coding standards, code reviews, unit and integration testing, automated regression, and release discipline.
Establish CI/CD pipelines and engineering workflows that support faster, safer, and more frequent deployments.

3. Cloud, DevOps, and Observability

Architect secure cloud infrastructure using modern deployment and orchestration practices, infrastructure as code, and cost-aware scaling principles.
Create observability standards covering logs, metrics, traces, dashboards, alerts, and root-cause analysis mechanisms.
Own reliability engineering practices including SLOs, incident response, capacity planning, release governance, backup, and disaster recovery.

4. Integrations, Telematics, and Security

Lead integration architecture for GPS devices, telematics systems, mapping providers, payment systems, and customer ERP/TMS/WMS platforms through secure APIs and webhooks.
Define standards for API gateways, authentication, authorization, partner onboarding, rate limiting, encryption, and secure data exchange.
Implement secure software development lifecycle practices, vulnerability management, secret management, and data protection controls.

5. Data Platform and AI/ML Readiness

Design the data platform covering event streaming, warehouse or lake architecture, reporting models, and analytics layers for operational and commercial insights.
Enable technology use cases such as ETA prediction, route optimization, pricing intelligence, demand forecasting, trip profitability, and utilization tracking.
Work with analytics and data science teams to productionize models with strong governance for data quality and model performance.

6. Engineering Leadership and Org Design

Build and lead a high-performance engineering organization across product engineering, platform, DevOps, QA, security, and data functions.
Hire senior engineers and technical leaders, define role clarity, create growth paths, and drive a culture of technical excellence and accountability.
Ensure clear separation and collaboration across architecture, delivery, product management, and business stakeholders as the company scales.

Required Qualifications

12+ years of experience in software engineering, platform development, or technology leadership.
At least 5 years in a senior technology leadership role such as CTO, VP Engineering, Head of Technology, or equivalent.
Strong experience in logistics, supply chain, mobility, marketplace platforms, SaaS, fleet-tech, or related high-scale technology environments.
Deep understanding of distributed systems, APIs, cloud architecture, mobile applications, scalable databases, and enterprise integrations.
Demonstrated success in building and leading cross-functional engineering teams and delivering reliable production-grade systems.
Strong business orientation, problem-solving ability, and stakeholder communication skills.

Reporting Structure

The CTO will report directly to the Founder and CEO and will work closely with leadership across operations, sales, finance, and product functions to translate business priorities into scalable technology capabilities.

Quick apply

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senior data architect jobs in hamdard nagar delhi delhi

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Company Overview

Role Summary

1. Architecture and Platform Design

2. Tech Stack and Engineering Practices

3. Cloud, DevOps, and Observability

4. Integrations, Telematics, and Security

5. Data Platform and AI/ML Readiness

6. Engineering Leadership and Org Design

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