Jobs at dentsu

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.

Build and maintain cloud data pipelines, transformations, orchestration workflows, governance controls, and analytics-ready datasets. Integrate APIs, Databricks, BI tools, and platform connectors while troubleshooting data quality and performance issues. Collaborate with product, engineering, DevOps, security, and client-facing teams on architecture, access management, infrastructure migrations, documentation, and production support.

Leads the design and implementation of Salesforce Data Cloud solutions, translating business requirements into technical designs, data models, schemas, and ingestion pipelines. Integrates Data Cloud with Marketing Cloud Personalization and other MarTech platforms for audience activation. Manages development teams, ensures delivery quality, troubleshoots complex integrations, supports segmentation and journey orchestration, and drives data governance, privacy, performance, mentoring, and roadmap initiatives.

Lead design and delivery of Salesforce Data Cloud CDP solutions: architect data models and ingestion pipelines, integrate with Marketing Cloud (MCP) and MarTech, ensure data quality, privacy compliance, performance, mentor engineers, and support audience segmentation and journey orchestration.

Build and maintain scalable GCP-based ETL/ELT data pipelines using Node.js and Python. Integrate external APIs, develop event-driven workflows with Pub/Sub and Eventarc, and optimize BigQuery data processing and storage. Automate deployment and testing through Cloud Build and CI/CD, while ensuring data security, governance, and compliance. Collaborate with cross-functional stakeholders to translate business requirements into maintainable data solutions.

Build and ship GenAI agents end-to-end for digital advertising campaigns, including platform API or MCP integrations, agent definitions, prompt engineering, automated evaluation suites, and React frontend experiences. Own 4–5 agents across Search or Social channels, collaborating with lead and test engineers and internal users. Work autonomously from design through production while maintaining low defect and false-positive rates.

Develops and maintains automated frontend and backend test suites for the Pipes advertising QA platform. Responsibilities include E2E testing, test coverage monitoring, CI/CD pipeline execution, diagnosing flaky tests, improving testability, documenting defects, and collaborating with developers and product managers across three agile engineering squads.

Lead design and development of scalable cloud data platforms and ETL/ELT pipelines across AWS/Azure/GCP. Build and optimize data warehouses/lakehouses, implement MDM and governance, support analytics/BI, mentor junior engineers, and contribute to presales PoCs and solution designs.

Lead technical design and implementation of Salesforce Data Cloud and MCP personalization solutions. Architect data models and ingestion pipelines, enable identity resolution and audience activation, integrate MarTech systems, ensure data quality and privacy compliance, troubleshoot integrations, mentor engineers, and support journey orchestration and roadmap planning for real-time personalized experiences.

Lead technical design and implementation of Salesforce Marketing Cloud and Data Cloud solutions, drive integrations with CRM and AWS, optimize personalization and campaign performance, guide cross-functional teams on architecture, configuration, testing, and deployment best practices.

Lead solution architecture and technical vision for platform teams, mentor engineering leads, ensure scalable resilient microservice-based web applications, drive CI/CD and code quality, collaborate across product, security, DevOps and architecture, and shepherd solutions through governance to meet business requirements.

Lead architecture and delivery of Salesforce Data Cloud CDP solutions: design data models and ingestion pipelines, integrate Data Cloud with Marketing Cloud and other MarTech, ensure data quality/privacy, optimize performance, 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, client/stakeholder engagement, pre-sales scoping, and people management including hiring and career development.