Lead Martech Data Engineer & Team Lead
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About the Role
Who We Are
WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients’ businesses.
We are seeking an Adobe Experience Platform Data expert to lead our Data Engineering practice. This is a role for a hands-on technical expert who can contribute to shape data solutions for world-renowned brands while mentoring a team of talented engineers. As a technical leader, you will set the vision and standards for how VML MAP delivers data infrastructure, integrations, governance & orchestration. You will influence outcomes through your expertise and strategic guidance.
What will your day look like?
This is a hands-on technical leadership role where you will both build solutions and shape the practice. This role however does not have direct people management.
- Architecture: Collaborate with architects to define standards for data pipelines, transformations, and integrations across cloud platforms (GCP, Snowflake, Azure) and CRM platforms (Salesforce DataCloud, Adobe Experience Platform, etc.), spanning both traditional data engineering and marketing technology ecosystems.
- Implementation: Ensure correct adoption of modern data stacks using dbt, orchestration tools (Airflow), infrastructure-as-code (Terraform), and ELT/ETL frameworks, with a focus on analytics-ready data models. Serve as the final technical escalation resource when projects face complex implementation challenges.
- Client Advisory: Act as the trusted technical advisor for clients, providing strategic guidance on their data architecture and identifying opportunities where data infrastructure can drive business value.
- Practice Innovation & Acceleration: Pioneer emerging capabilities—including agentic automation and AI-driven engineering—while building repeatable solution frameworks and service offerings that reduce time-to-value and enable consistency across client engagements.
- Mentor & Coach: Develop engineers through hands-on mentorship, code reviews, and technical guidance, empowering them to solve complex challenges.
- Practice Leadership: Work closely with the Global Data Practice Lead and domain practice peers to shape practice direction, standards,
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