Jobs at dentsu

Leads the design, development, optimization, and support of scalable data engineering and database marketing solutions. Builds ETL/ELT pipelines using Azure Data Factory and Databricks, creates technical designs, resolves production issues, conducts code reviews, and manages delivery across small teams. Collaborates with clients and internal stakeholders, documents architecture, applies performance optimization, and oversees workflow orchestration, data warehousing, streaming, and integration solutions.

Develop and maintain Power BI dashboards, reports, data models, measures, and DAX calculations. Extract and analyze data using SQL, validate report accuracy, troubleshoot data issues, and translate stakeholder requirements into actionable visualizations and insights. The role also involves documenting dashboard logic and data sources while collaborating with business stakeholders.

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.

Quality Analyst responsible for validating data warehouse and database deliverables throughout the project lifecycle. Duties include creating test plans, test cases, SQL scripts, and test data; performing functional, regression, load, system, and UAT testing; investigating data quality issues; tracking defects in JIRA; validating fixes; and communicating test status to project teams and clients.

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.

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 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.

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.

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.

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 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.

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.

Lead design and development of enterprise integration and AI-driven automation workflows using low-code and code-first platforms. Build API-led, event-driven integrations, microservices, data transformation pipelines, and secure scalable solutions. Mentor integration teams, drive architecture, ensure governance, observability, and deliver integrations across cloud services and messaging systems.

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, ETL, and governance practices. Support customer journey personalization and omnichannel engagement across email, SMS, WhatsApp, push, and paid media. Build predictive audiences and AI-driven use cases for churn, cross-sell, upsell, and customer lifetime value.

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.