Jobs at Dentsu Creative

Designs and develops scalable cloud data platforms and ETL/ELT pipelines using Python and SQL. Optimizes performance and costs, implements governance, security, quality, and compliance controls, and supports analytics consumption. Collaborates with architects and stakeholders, contributes to pre-sales prototypes and demos, mentors junior developers, conducts code reviews, and recommends improvements across AWS, Azure, and GCP environments.

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, cost modeling, architecture proposals, and client presentations. The architect must remain hands-on with Python, SaaS data tools, MDM platforms, and agentic AI; support pre-sales and RFP responses; mentor junior architects; and integrate AI/ML into data architectures.

Owns end-to-end technical solution architecture and delivery for cloud-based data projects. Designs Azure data warehouses, data marts, databases, ETL pipelines, and technical solutions; translates requirements into SQL and ETL code; guides development, testing, governance, documentation, and deployment. Leads small project teams, coaches implementation staff, performs proofs of concept, collaborates with clients and cross-functional teams, and provides post-delivery support and technical advice.

Maintains, cleans, manipulates, and secures operational and analytics data. Designs scalable data pipeline architectures, builds complex data sets and analytics tools, automates manual processes, improves infrastructure, troubleshoots database issues, and supports data, product, design, analytics, and data science teams with technical data needs.

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

Leads quality assurance activities for data warehouse and database projects, including test planning, SQL scripting, functional and regression testing, defect tracking, data quality investigation, and UAT. Translates requirements into comprehensive test cases, validates fixes, communicates test status, establishes QA standards, and mentors 2–3 QA associates. Requires SQL, ETL, cloud, JIRA, Agile, and database testing expertise.

Leads quality assurance for software releases, including data warehouse and database testing, SQL and ETL validation, functional, regression, load, system, and UAT testing. Defines test strategies, writes test plans and cases, develops SQL scripts, manages defects, investigates data quality issues, validates fixes, communicates test status, establishes QA standards, and mentors 2–3 QA associates.

Leads QA initiatives for software releases, defining test scope, plans, cases, SQL scripts, and coverage. Performs database, DWH, functional, regression, load, system, and UAT testing. Investigates data quality issues, logs and tracks defects, validates fixes, communicates test status, develops QA standards, and mentors two to three QA associates.

Build and maintain cloud data pipelines, transformation workflows, orchestration, governance, and access controls for analytics products. Integrate APIs, Databricks, BI tools, and multi-tenant data platforms while troubleshooting quality and performance issues. Collaborate with product, engineering, DevOps, security, and client-facing teams on platform features, architecture documentation, infrastructure migrations, and production support.

Designs and leads Salesforce Data Cloud solutions, including data models, ingestion pipelines, identity resolution, integrations, activation, segmentation, and personalization. Translates business requirements into technical designs, leads development teams, troubleshoots complex platform issues, and ensures data quality, privacy, governance, and performance. Collaborates with architects and stakeholders on strategy, roadmap planning, delivery, mentoring, and reusable technical standards.

Lead architecture and delivery of Salesforce Data Cloud solutions: design data models and ingestion pipelines, integrate with Marketing Cloud and MarTech, ensure identity resolution, privacy compliance, and performance, mentor engineers, and support audience segmentation and journey orchestration.

Build and maintain scalable GCP-based ETL/ELT pipelines using Node.js and Python. Integrate external APIs, develop event-driven workflows with Pub/Sub and Eventarc, and automate deployment through Cloud Build and CI/CD. Optimize data processing and storage costs, apply data modeling and warehousing principles, and ensure security and governance. Collaborate with cross-functional teams to translate business requirements into maintainable data solutions.

Build and ship 4–5 production GenAI agents for digital advertising channels. Responsibilities include integrating Google, Microsoft, Meta, or TikTok APIs through MCP or direct calls; defining agents; authoring prompts; developing React chat experiences; and creating automated evaluation and regression suites. The role requires end-to-end ownership from design through production, collaboration with lead and test engineers, sprint-based development, and autonomous delivery with minimal supervision.

Develop, maintain, and expand automated frontend and backend test suites for the Pipes advertising QA platform. Build end-to-end tests, integrate testing into CI/CD pipelines, monitor coverage and test flakiness, diagnose failures, and improve testing frameworks and processes. Collaborate with developers, product managers, and engineering leads across three agile squads while documenting defects and contributing to testing strategy and best practices.

Lead design, development, and optimization of scalable cloud data platforms and pipelines across AWS/Azure/GCP. Build ETL/ELT processes, data models, and lakehouse/warehouse solutions; implement MDM and governance; support analytics/BI, pre-sales PoCs, mentor junior engineers, and ensure security and cost/performance tuning.

Lead design and implementation of Salesforce Data Cloud and Marketing Cloud Personalization solutions. Architect data models, ingestion pipelines, identity resolution, audience activation, and real-time personalization. Integrate MarTech systems, ensure data quality and privacy compliance, optimize performance, troubleshoot integrations, mentor engineers, and support journey orchestration and audience segmentation.

Lead technical design and implementation of Salesforce Marketing Cloud and Data Cloud, oversee integrations and performance tuning, define personalization strategies, guide cross-functional teams, configure and test solutions, and optimize campaign performance to deliver scalable, compliant CRM and marketing automation solutions.

Lead technical architect responsible for creating solution architectures, mentoring engineering leads, driving technical vision and roadmaps, ensuring scalable cloud-native platform services, enforcing CI/CD and code quality practices, and collaborating with Product, Security, DevOps and Architecture to deliver microservice-based web applications.

Lead QA to embed quality into solution delivery: define and maintain unit tests, implement telemetry (InfluxDB/Grafana/Prometheus), manage defects and risks, ensure production-like test environments, mentor teams, and communicate status to senior stakeholders.

Lead architecture and delivery of Salesforce Data Cloud CDP solutions: design data models and ingestion pipelines, integrate Data Cloud with MarTech (MCP) for activation and personalization, ensure data quality/privacy compliance, troubleshoot integrations, mentor engineers, and support audience segmentation and journey orchestration.