Jobs at Dentsu Creative

Leads Salesforce Marketing Cloud implementations, including advanced web forms, automations, customer journeys, data integrations, segmentation, testing, and optimization. Consults with clients on requirements, best practices, adoption, training, and digital transformation across Salesforce CRM, Marketing Cloud, and Data Cloud. Reviews code, supports production campaign platforms, and manages campaign development through deployment and quality control.

Develop and maintain Power BI dashboards and reporting solutions, write and optimize SQL queries, build data models and DAX calculations, validate data quality, and translate business requirements into actionable insights. The role involves stakeholder collaboration, troubleshooting reporting issues, documenting dashboard logic and data sources, and ensuring accurate, consistent reporting.

Owns end-to-end technical solution architecture and delivery for cloud-based data projects. Designs data warehouses, data marts, databases, ETL pipelines, and technical solutions primarily on Azure. Translates business requirements into technical designs and development work, leads implementation teams, reviews code, supports testing, governs architecture standards, performs proofs of concept, and collaborates with clients, project managers, analysts, DBAs, data scientists, and global teams. Manages one to two projects and provides technical coaching and post-delivery support.

Design and develop scalable AWS data platforms, data lakes, warehouses, and batch or streaming pipelines. Build SQL and Python-based transformations using Spark and AWS services, optimize performance and costs, troubleshoot production issues, and ensure security, reliability, and scalability. Own delivery from development through production support while collaborating with architects, DevOps, QA, clients, and business stakeholders. Contribute to technical design reviews, coding standards, documentation, and continuous improvement.

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 unified customer profiles and personalized experiences. Guide development teams, troubleshoot complex integrations, ensure data quality and privacy compliance, mentor engineers, support segmentation and journey orchestration, and contribute to technical standards and the Data Cloud adoption roadmap.

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.

Design and lead enterprise-scale data and AI architectures centered on Snowflake and Microsoft Azure. Responsibilities include data platform modernization, cloud migration, data governance, Snowflake optimization, Python and SQL development, and GenAI solutions using LLMs and RAG. The role leads technical teams, conducts architecture reviews, mentors engineers, translates business requirements into solutions, creates roadmaps and governance documentation, and ensures security, compliance, performance, and cost optimization.

Designs and maintains scalable data engineering solutions using Python, SQL, and Snowflake. Builds ETL/ELT pipelines, data warehouses, data lakes, and React applications while integrating generative AI, LLMs, and RAG architectures. Implements Snowflake data architectures, CI/CD, testing, monitoring, and governance practices. Collaborates with stakeholders and cross-functional teams to deliver data-driven solutions, analyze business data, and provide technical leadership and mentorship.

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.

Design, build, and optimize scalable data pipelines and event-driven architectures on GCP. Develop Python applications, integrate external APIs, manage BigQuery and cloud storage solutions, and automate deployments with Cloud Build. Ensure pipeline performance, scalability, cost efficiency, data quality, governance, lineage, and security while collaborating with cross-functional teams and documenting technical solutions.

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 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 and scale multi-disciplinary software engineering teams delivering Promotions and Loyalty Services platforms. Own delivery quality, architecture, timelines, KPIs, risk mitigation, and client/stakeholder relationships. Provide technical guidance, support solutioning and pre-sales, manage hiring, performance, and career development, and drive engineering best practices across global teams.

Lead business transformation strategy for global clients, advising C-suite stakeholders, leading pitches, developing transformation frameworks, and shaping digital media products. Translate market data and technical insights into persuasive strategic narratives, build reusable intellectual property, facilitate diagnostic sessions, and support cross-border growth. Collaborate with product, engineering, UX, and account teams on discovery, user journeys, prototyping, and product-led transformation. Measure commercial impact through attribution, media mix modeling, and transformation performance analysis.