Top Tech Jobs & Startup Jobs in Delhi

Lead the elicitation, specification, and validation of enterprise data management solutions. Drive discovery, feasibility analysis, UAT, documentation (data flows, lineage, models, catalog, glossary), production support, change management, reusable assets, and mentor team members while coordinating with global stakeholders and delivery teams.

Lead technical architect responsible for creating solution architectures, mentoring engineering leads, driving technical vision and roadmaps, ensuring scalable cloud-native platform services, enforcing CI/CD and code quality practices, and collaborating with Product, Security, DevOps and Architecture to deliver microservice-based web applications.

Design, execute, and automate functional, regression, integration, and system tests. Create test cases, log and track defects, analyze root causes, collaborate with developers and product teams, maintain QA documentation, and perform API and non-functional testing to ensure product quality and stability.

Build and maintain scalable Azure cloud data platforms and ETL/ELT pipelines using Databricks, Synapse, ADF, ADLS. Develop SQL and Python/PySpark transformations, monitor pipeline health, troubleshoot failures, and collaborate with architects, QA, DevOps, and business stakeholders.

Lead design, development, and optimization of scalable cloud data platforms and pipelines across AWS/Azure/GCP. Build ETL/ELT processes, data models, and lakehouse/warehouse solutions; implement MDM and governance; support analytics/BI, pre-sales PoCs, mentor junior engineers, and ensure security and cost/performance tuning.

Lead QA to embed quality into solution delivery: define and maintain unit tests, implement telemetry (InfluxDB/Grafana/Prometheus), manage defects and risks, ensure production-like test environments, mentor teams, and communicate status to senior stakeholders.

Lead and scale multi-disciplinary software engineering teams delivering Promotions and Loyalty Services platforms. Own delivery quality, architecture, timelines, KPIs, risk mitigation, and client/stakeholder relationships. Provide technical guidance, support solutioning and pre-sales, manage hiring, performance, and career development, and drive engineering best practices across global teams.

Lead and scale a P&L-backed analytics/AI practice delivering GenAI solutions (LLMs, orchestration, production deployment) for marketing, creative, media, and commerce. Sell, design, build, and operationalize AI systems, collaborate with creative and strategy teams, and drive measurable business outcomes.

Provide analytics support to clients by integrating disparate datasets, preparing data, applying data science methods, developing analytics code, delivering insights on project timelines, and communicating findings while staying current on industry trends.

Design and define technical architecture, guide development teams on implementation, ensure scalability, performance, security, and alignment with business requirements. Collaborate with stakeholders and provide technical leadership across projects.