Jobs at dentsu

Owns the architecture, evolution, security, and governance of cloud platforms across multiple client environments. Designs cloud foundations, infrastructure-as-code standards, resilience and disaster recovery strategies, security guardrails, and operational patterns. Provides technical leadership during critical incidents, supports architecture reviews and client escalations, and contributes to change governance, SLA design, audit readiness, and pre-sales activities. The role requires multi-cloud expertise, strong stakeholder communication, and experience with managed services and enterprise platforms.

Designs and develops cloud-based data engineering solutions on GCP. Responsibilities include building data pipelines and warehouse solutions using Python, SQL, BigQuery, Dataform, Cloud Composer, Pub/Sub, and related GCP services. The role also involves applying data modeling, CI/CD, Git workflows, problem-solving, requirements gathering, client interaction, and potentially technical team management.

Lead architecture, design, governance, modernization, and technical evolution for large-scale global Salesforce Commerce Cloud platforms. Design scalable storefront, API, integration, data exchange, multi-site, and multi-locale solutions. Govern CI/CD, deployments, code quality, security, performance, and release management. Oversee architecture and code reviews, resolve complex production issues, mentor distributed engineering teams, and collaborate with business, product, engineering, and enterprise architecture stakeholders.

Develop content strategies aligned with client goals, audience needs, and brand strategy. Create audits, content models, journey maps, taxonomies, governance plans, and content workflows. Partner with strategists and analysts to use research and data insights, define KPIs, optimize content, present recommendations to executives, and strengthen the agency’s content strategy practice.

As a Senior Web Stack Engineer, you'll deliver high-quality frontend solutions, ensuring performance, accessibility, usability, and security across headless architectures while mentoring developers and driving process improvements.

Design and deliver scalable AWS data platforms, including cloud data lakes, warehouses, batch and streaming pipelines, and SQL- and Python-based transformations. Build reliable, fault-tolerant data workflows using AWS services, Spark, and PySpark. Own solutions from development through production support, including performance tuning, cost optimization, troubleshooting, security, and compliance. Collaborate with architects, clients, product owners, DevOps, QA, and global stakeholders while contributing to technical design reviews and engineering best practices.

Develop and maintain interactive Power BI dashboards and reports for marketing effectiveness. Gather stakeholder requirements, define reporting best practices, perform data analysis, and deliver actionable insights. Serve as the reporting subject matter expert, coordinate with internal and external stakeholders, support client presentations, and oversee report design, development, deployment, maintenance, security, and refresh processes.

Lead the architecture, modernization, integration, and governance of enterprise Adobe Experience Manager platforms. Design scalable Sites, Assets, headless, composable, and Edge Delivery Services solutions; guide migrations to AEM Cloud Service; and define integration, performance, security, and deployment strategies. Serve as the client CMS technology SME, lead technical teams and proofs of concept, mentor engineers, and advise on emerging Adobe capabilities. Collaborate with stakeholders to deliver reusable frameworks, modernization roadmaps, and AI-assisted development practices.

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.

Design, build, and optimize scalable ETL/ELT pipelines and event-driven data architectures on GCP. Develop Python applications, integrate external APIs, deploy cloud services, automate CI/CD with Cloud Build, and manage data quality, governance, lineage, security, performance, and cost efficiency. Collaborate with cross-functional teams to deliver scalable data solutions and maintain technical documentation.

Lead end-to-end delivery of Qualtrics Engage programs, acting as SPOC for clients and stakeholders. Manage integrated project plans, budgets, risks, RAIDD, change control, resources, QA/UAT, and launch. Establish governance, run kickoffs and status meetings, oversee survey/dashboard/workflow builds, ensure sign-offs, and transition to managed services. Support business case and benefits tracking. Qualtrics certification is a plus.

Lead solution architecture and delivery across Salesforce Sales Cloud, Service Cloud, Data Cloud, and Agentforce. Design ingestion, identity resolution, Calculated Insights, segmentation and activations. Architect CPQ, case management, Omni-Channel, and Agentforce agents. Mentor engineers, produce SDDs and integration designs, present trade-offs to stakeholders, and govern data quality, reconciliation, and analytics integration with Power BI/Tableau. Support Marketing Cloud connector and deployment patterns where required.

Lead Adobe Workfront implementations: configure and optimize Workfront and Fusion, build workflows, integrate with Jira, Monday.com and AEM, gather requirements, drive process improvement and user adoption.

Lead implementation and configuration of Adobe Workfront solutions, build Fusion workflows, integrate Workfront with Jira/Monday.com/AEM, gather requirements, drive process improvement and user adoption.

Lead design and delivery of enterprise-scale Salesforce solutions, specializing in Financial Services Cloud, Data Cloud and Agentforce. Define end-to-end architecture, run discovery and workshops, guide integrations, ensure scalability, security and governance, support pre-sales, mentor developers, and oversee implementation and code quality.

Lead design and build of generative AI, multimodal, and agentic systems. Develop and fine-tune transformer models, retrieval/knowledge-graph augmented systems, and production APIs. Deploy and monitor ML services in cloud, collaborate cross-functionally, mentor engineers, and ensure safety, evaluation, and scalable MLOps practices.

Lead business transformation strategy for global clients, including major pitches, C-suite engagement, strategic narrative development, consulting frameworks, digital product discovery, user journey mapping, case studies, and proprietary intellectual property. Translate market data and technical insights into transformation roadmaps, support product and engineering teams, and help modernize operating models and grow cross-border revenue. Requires strong consulting, AI and technology literacy, product design, storytelling, marketing attribution, and financial impact measurement expertise.