Dentsu Global Services
Website:
bit.ly
Company:
https://www.linkedin.com/company/dentsuglobalservices
Seniority: Not Applicable
Industries: Advertising Services
Job details:
Job Description:
Job title: Enterprise Integration and Intelligent Automation Dev Lead
DCF Level : 35
Experience: 8-12 Years
Role Purpose
The
Enterprise Integration and Intelligent Automation (EI / IA) Development Lead will be responsible for designing, developing, and leading scalable integration solutions and AI-powered automation workflows, across enterprise systems, marketing platforms, consumer data platforms, digital ecosystems, third-party partners, and AI model providers. This role combines deep technical expertise in Enterprise Integration Workflows and scaled API-driven systems Integration, with leadership in modern integration patterns, low-code workflow app dev platforms, iPaaS systems (integration platform-as-a-service solutions), data transformation and data integration workflows, and AI-powered intelligent automation.
Key Responsibilities
Integration Architecture, Technical Design, & Integration Workflow Development
- Design and implement robust, scalable, and secure enterprise integration solutions and pipelines using multiple integration platforms and services
- Lead tech design and development for integration workflows, orchestrating data and capabilities across multiple systems, using APIs, pre-built connectors, and custom connectors
- Develop and manage API-led and event-driven integrations and automations across systems, applications, and platforms.
- Develop and optimize data transformation pipelines and data integration workflows.
- Lead and Build end-to-end system integrations, data workflows, and platform integration workflows independently.
- Strong experience in designing and building workflows for very high volumes and scaled usage, also applying principles and best practices of multi-tenancy and client data separation
Technical Leadership
- Lead and mentor a team of integration developers, workflow developers, and API developers, ensuring adherence to coding standards and best practices.
- Translate business requirements into clear technical specifications and actionable development tasks.
- Drive solution design discussions and act as a technical SME for integration and automation initiatives.
- Drive secure workflow design and secure enterprise integration across systems, implementing best practices for authentication, token validation, authorization, and role-based access
Modern Integration & Intelligent Automation
- Solid foundation in integration workflows and workflow development, using Low-Code Workflow Builder tools including n8n (Node-mation), Azure Logic Apps, and others.
- Strong experience in n8n (Node-mation) workflows, including usage of pre-built connectors and custom connector development, and building AI-driven workflows within N8N
- Lead development across system and data integrations using low-code/no-code workflows, enhanced with custom connectors for deep bespoke integration into proprietary enterprise platforms and services
- Enable intelligent automation solutions by integrating AI and Gen-AI capabilities within integration workflows, including Azure OpenAI LLM models, Vision Models and Multi Modal models.
- Process and Automate Consumer and Audience Data, using AI services and AI models, unlocking the value of core data assets for use within AI-driven workflows to drive use cases such as Audience Intelligence, Audience Personalization, etc.
Micro Services, GraphQL + Federated Graph, and API Engineering
- Develop scalable micro services to enable Enterprise Integration using server-side Node.js frameworks such as NEST.js and Typescript code.
- Integrate proprietary REST APIs, enterprise services, and third-party platforms all together, within a single integration / orchestration layer
- Leverage GraphQL within a Federated Graph pattern, deploy custom Sub-Graphs within the Fed Graph, and route queries/mutations through the Router across the various Sub-Graphs
- Design and develop REST/GraphQL APIs and schemas.
- Manage API lifecycle and governance, including performance, scalability, and versioning.
- Work with NoSQL databases such as MongoDB Atlas, and Azure Cosmos DB for high-performance data handling.
- Build integrations leveraging message queues, topics, and messaging patterns (e.g., Kafka, and/or Azure Service Bus).
Collaboration & Delivery
- Collaborate with Architecture, Engineering Leads, QA/QE, DevOps, and business teams to ensure seamless delivery.
- Participate in Agile development methodologies, including sprint planning, reviews, and retrospectives.
- Ensure high-quality delivery through code reviews, testing, and documentation standards.
Governance, Quality & Risk Management
- Enforce best practices for integration design, logging, monitoring, and resiliency (retry/recovery mechanisms).
- Identify delivery risks proactively and define mitigation strategies.
- Ensure compliance with enterprise security and data governance standards.
Primary Skills & Expertise (ALL Are MUST-HAVE)
- Intelligent Workflow Automation (Critical) – n8n (Node-mation) / Node-based automation tools, Azure Logic Apps, Data Integration and Systems Integration.
- API orchestration & Enterprise Integration – Orchestration across REST APIs, GraphQL and Federated Graph, Bespoke API design & development
- Microservices Development – Nest.JS, TypeScript, Node.js , Server-side JavaScript Dev
- Azure Cloud Services Expertise – Azure Cosmos DB, Azure Blob Storage, Service Bus
- Messaging Frameworks – Kafka, Message Queues, messaging patterns (queues, topics), etc.
- AI Integration – Azure OpenAI, AI models, and intelligent automation frameworks
- Data Pipelines – Data workflows, transformations, and processing
- Knowledge of NoSQL databases (MongoDB Atlas)
Secondary / Good-to-Have Skills
- Experience with Agentic AI Workflows and Agent integration patterns
- Experience with Agent Dev Frameworks for intelligent automation
- Experience with Snaplogic or any other iPaaS platforms
- Experience with Data Visualization toolsets (Power BI, Tableau, etc.)
- Exposure to Azure Document Intelligence / Intelligent Document Processing / Document Automation workflows powered by AI
- Experience with Microsoft Power Platform including Power Automate, Power Apps, etc.
- API Testing tools such as Postman, SoapUI
Experience & Qualifications
- Strong hands-on experience in enterprise integration and cloud-based integration workflow development
- Proven experience leading integration or platform engineering teams
- Deep understanding of enterprise integration patterns, API-led architecture, and event-driven systems
- Ability to work independently, drive initiatives, and solve complex problems
- Strong communication and stakeholder management skills
Key Role Dimensions
- Enterprise Integration Dev Lead
- Low-Code Workflow & Automation Lead
- Intelligent Automation (AI + Automation) Lead
- Data Integration & Audience Processing Lead
Location:
DGS India - Bengaluru - Manyata N1 Block
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent#DGS
Click on Apply to know more.