Top Tech Jobs & Startup Jobs in Delhi

Leads quality assurance for software releases, including data warehouse and database testing, SQL and ETL validation, functional, regression, load, system, and UAT testing. Defines test strategies, writes test plans and cases, develops SQL scripts, manages defects, investigates data quality issues, validates fixes, communicates test status, establishes QA standards, and mentors 2–3 QA associates.

Designs and leads Salesforce Data Cloud solutions, including data models, ingestion pipelines, identity resolution, integrations, activation, segmentation, and personalization. Translates business requirements into technical designs, leads development teams, troubleshoots complex platform issues, and ensures data quality, privacy, governance, and performance. Collaborates with architects and stakeholders on strategy, roadmap planning, delivery, mentoring, and reusable technical standards.

Lead architecture and delivery of Salesforce Data Cloud solutions: design data models and ingestion pipelines, integrate with Marketing Cloud and MarTech, ensure identity resolution, privacy compliance, and performance, mentor engineers, and support audience segmentation and journey orchestration.

Lead technical design and implementation of Salesforce Marketing Cloud and Data Cloud, oversee integrations and performance tuning, define personalization strategies, guide cross-functional teams, configure and test solutions, and optimize campaign performance to deliver scalable, compliant CRM and marketing automation solutions.

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.

Lead architecture and delivery of Salesforce Data Cloud CDP solutions: design data models and ingestion pipelines, integrate Data Cloud with MarTech (MCP) for activation and personalization, ensure data quality/privacy compliance, troubleshoot integrations, mentor engineers, and support audience segmentation and journey orchestration.

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 design and delivery of enterprise integration and AI-powered automation workflows. Build API-led, event-driven integrations, data transformation pipelines, microservices, and scalable low-code workflows (n8n, Azure Logic Apps). Mentor integration developers, enforce secure design and governance, integrate Azure OpenAI and other AI models, and collaborate across architecture, DevOps, QA, and business teams to ensure resilient, governed integrations.

Implement and administer Salesforce Data Cloud, including identity resolution, unified profiles, calculated insights, audience segmentation, and activation. Integrate CRM, marketing, web, mobile, commerce, and loyalty data using SQL, APIs, and ETL. Build predictive audiences and personalization use cases while supporting data governance, validation, troubleshooting, customer journeys, and omnichannel activation.

Lead business transformation strategy for global clients, advising C-suite stakeholders, leading pitches, developing transformation frameworks, and shaping digital media products. Translate market data and technical insights into persuasive strategic narratives, build reusable intellectual property, facilitate diagnostic sessions, and support cross-border growth. Collaborate with product, engineering, UX, and account teams on discovery, user journeys, prototyping, and product-led transformation. Measure commercial impact through attribution, media mix modeling, and transformation performance analysis.