Jobs at dentsu

Lead Salesforce Marketing Cloud implementations, configure advanced web forms, automations, journeys, data integrations, and campaign processes. Consult with clients on requirements, best practices, adoption, and digital transformation. Build and test campaign solutions, review code, support production platforms, develop Data Cloud segments, and train campaign managers. Collaborate with internal teams to resolve requests and optimize end-to-end campaign delivery.

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.

Leads technical architecture and delivery for cloud-based data solutions. Designs data warehouses, data models, ETL pipelines, databases, and technical integrations; translates business requirements into SQL and ETL development; guides implementation teams; manages project delivery, technical governance, documentation, quality processes, and client communications. Requires hands-on Azure data engineering, architecture, development, and project leadership experience.

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.

Lead the architecture and implementation of Salesforce Data Cloud solutions, including data models, ingestion pipelines, identity resolution, activation workflows, and MarTech integrations. Collaborate with marketing, analytics, engineering, and business stakeholders to deliver personalized customer experiences. Ensure data quality, privacy compliance, performance, and troubleshooting across platforms. Mentor engineers, guide technical standards, support segmentation and journey orchestration, and contribute to roadmap planning.

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.

Designs and leads enterprise-scale cloud data platforms and analytics solutions using Snowflake, Python, SQL, and Azure technologies. Responsibilities include data architecture, migration, governance, optimization, and technical leadership. The role also architects generative AI, LLM, and RAG solutions, mentors engineering teams, conducts design reviews, develops roadmaps, and translates business requirements into secure, scalable technical solutions.

Designs and maintains scalable data engineering solutions using Python, SQL, and Snowflake. Builds ETL/ELT pipelines, data warehouses, data lakes, and React interfaces while integrating generative AI, LLMs, RAG, and intelligent automation. Responsibilities include Snowflake architecture, data governance, CI/CD, testing, performance optimization, stakeholder collaboration, Agile participation, business data analysis, and mentoring junior developers.

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.

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.

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 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 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 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.