Jobs at dentsu

The Braze Development Manager leads software engineering teams, providing technical guidance while overseeing implementation, design, and delivery of marketing automation solutions using Braze.

Lead design and implementation of scalable Braze solutions, build and configure campaigns, optimize data models and audience segmentation, integrate external data sources via APIs/FTP, perform SQL development and troubleshooting, conduct code reviews, mentor junior developers, and provide marketing automation best practices and stakeholder-facing technical guidance.

Own and deliver complex headless frontend features using AEM and Vue 3. Build performant, accessible, secure, SEO-friendly web applications; collaborate with distributed cross-functional teams; mentor developers; use AI-assisted tools; and improve development, testing, and release processes.

Develop and customize Salesforce solutions using Apex, LWC, SOQL, Flows, and OmniStudio. Build OmniScripts, FlexCards, DataRaptors, and Integration Procedures; integrate Salesforce with REST and SOAP APIs; and apply Salesforce security and data-model principles. Collaborate with stakeholders on implementations, preferably within Financial Services Cloud and wealth management environments.

Develop and customize Salesforce solutions using Apex, LWC, SOQL, Flows, and OmniStudio tools. Build REST and SOAP integrations, apply Salesforce security and data-model principles, and collaborate with stakeholders. Experience with Financial Services Cloud and BFSI workflows is preferred, especially wealth management, client onboarding, portfolio management, and advisory processes. The role is hybrid, requiring three days per week at the client’s Vikhroli, Mumbai office.

Manage B2B marketing lifecycle operations, including lead capture, nurturing, segmentation, scoring, campaign execution, and sales handoffs. Build and maintain Pardot assets and workflows, monitor lead quality and funnel performance, troubleshoot Salesforce integrations, maintain data accuracy, and support campaign attribution, reporting, and marketing-sales process improvements.

Designs and implements multi-cloud data architecture solutions across AWS, Azure, and GCP. Responsibilities include data modeling, ETL/ELT pipelines, data warehousing, analytics platforms, governance, security, compliance, solution proposals, architecture diagrams, and cost models. The architect participates in hands-on development, pre-sales and RFP responses, client engagement, mentoring junior architects, master data management, SaaS tools, and AI integration.

Design, develop, and optimize secure, scalable cloud data platforms and ETL/ELT pipelines across AWS, Azure, and GCP. Write Python and SQL, implement data governance and quality controls, optimize performance and costs, and support analytics and BI layers. Contribute to architecture, pre-sales demos, proofs of concept, and client discussions. Mentor junior developers, conduct code reviews, and collaborate with architects, QA, DevOps, and business stakeholders.

Owns end-to-end technical solution architecture and delivery for cloud-based data projects. Designs Azure data warehouses, data marts, databases, ETL pipelines, and ingestion solutions; translates requirements into SQL and ETL code; documents architecture and detailed designs; coaches implementation teams; manages project resources; supports testing, governance, proofs of concept, and client delivery. Collaborates with project managers, business analysts, DBAs, data scientists, clients, and global teams while enforcing development standards and deployment practices.

Maintains, cleans, manipulates, and secures operational and analytics databases. Designs scalable data pipeline architecture, builds complex data sets and analytics tools, automates manual processes, improves infrastructure, troubleshoots database issues, and supports software engineering, data science, analytics, product, design, and executive stakeholders.

Provides technical guidance across the software development lifecycle, including requirements analysis, design, development, testing, documentation, release processes, and feature delivery. Owns complex application features, resolves technical issues, improves code stability and reusability, integrates technologies, estimates work, identifies security and usability issues, delivers training, and mentors software engineers.

Leads quality assurance activities for data warehouse and database projects, including test planning, SQL scripting, functional, regression, load, system, and UAT testing. Investigates data quality issues, documents defects, validates fixes, communicates test status, establishes QA standards, and mentors QA associates. Requires strong SQL, ETL, database testing, cloud, JIRA, Agile, and stakeholder communication skills.

Lead QA testing for data warehouse and database projects by defining test scope, creating test plans and SQL scripts, executing functional, regression, load, system, and UAT testing, logging and resolving defects, validating fixes, addressing data quality issues, communicating status to clients, and mentoring 2–3 QA associates. The role also drives QA technical initiatives, standards, test coverage, and process improvements.

Leads QA activities for data warehouse and database-focused software projects. Defines testing scope, creates test plans and SQL scripts, designs comprehensive test cases, performs functional, regression, load, system, and UAT testing, manages defects through resolution, investigates data quality issues, communicates status to stakeholders, establishes QA best practices, and mentors 2–3 QA associates.

Develop and deliver large-scale, multi-market web solutions using Adobe Experience Manager and integrated technologies. Responsibilities span software analysis, backend development, database work, REST API integration, customer interaction, performance optimization, logging, scalability, and maintainability. The role also involves designing high-quality AEM solutions, collaborating with multidisciplinary teams, onboarding and mentoring colleagues, and contributing throughout the software development lifecycle.

Owns the architecture, security, resilience, governance, and evolution of cloud infrastructure platforms across client environments. Designs cloud foundations, guardrails, infrastructure-as-code standards, backup and disaster recovery strategies, and operational patterns supporting incidents, changes, SLAs, audits, and NIS2 compliance. Provides senior technical guidance during critical incidents and major changes, engages with clients on escalations and architecture reviews, and supports project delivery and pre-sales. The role is hands-on and does not include routine operations, ticket triage, or people management.

Develop and support large-scale backend software projects using Node.js, databases, RESTful APIs, and modern web technologies. Responsibilities include system design, data modeling, query optimization, debugging, production maintenance, UI component development, security and performance optimization, and collaborative Agile/Scrum delivery. The role also involves client interaction, troubleshooting, documentation, and prioritizing work across cross-functional teams.

Develop and deliver multi-market solutions using Adobe Experience Manager and integrations. Responsibilities span software analysis, backend development, database work, REST API integration, performance, scalability, logging, testing, and maintainability. The role also involves customer interaction, large-scale web solution development, mentoring colleagues, and participation throughout the software development lifecycle.

Leads the technical direction of multi-market Adobe Experience Manager projects and integrations. Guides developers, architecture decisions, code quality, mentoring, code reviews, scalability, performance, and best practices while remaining hands-on with complex Java and AEM solutions. Collaborates with multidisciplinary teams and clients across Europe and Asia to deliver maintainable, scalable web platforms.

Develop, maintain, and support enterprise backend services, APIs, microservices, integrations, and databases in a managed services environment. Investigate incidents, production defects, performance issues, and data problems; perform root cause analysis and implement preventive fixes. Support deployments, releases, monitoring, automation, documentation, and continuous improvements while meeting SLAs. Collaborate with clients, product owners, QA, DevOps, and distributed delivery teams, including providing shift or extended-hours support when required.