VML MAP
Marketing and Advertising
LeadDataEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Engineer at VML MAP. Skills: Data Engineering, Cloud Platforms (GCP, Snowflake, Azure), Modern Data Stack (dbt, Airflow, Terraform), Data Modeling, Data Governance, Technical Leadership, Mentoring. Lead Data Engineering practice. Shape data solutions for brands”
What You'll Achieve.
Help our clients navigate change, capture opportunity and deliver transformational growth; Reduce time-to-value; Enable consistency across client engagements
Industry & Context.
Solve complex challenges; Navigating ambiguity
What They're Looking For.
Must Have
Extensive years of hands-on data engineering experience building production data pipelines and data warehouses, Management experience of data teams, Deep expertise in the modern data stack: dbt, Airflow, Terraform, and cloud data platforms (GCP BigQuery, Snowflake), architectural skills with a deep understanding of data modeling, quality, and governance, Proficiency in SQL, Python, and modern engineering workflows (Git, CI/CD, testing), Proven experience mentoring other engineers and building trust with both technical and non-technical colleagues, Commercial awareness and client-facing skills, with an ability to connect technical solutions to strategic business value, Practice-building mindset: a track record or genuine interest in developing new service offerings, establishing standards, and contributing to organizational capability development, Ownership and drive: comfort taking full accountability for your domain while navigating ambiguity and evolving organizational needs, Intellectual curiosity and learning agility: enthusiasm for exploring emerging technologies, testing new approaches, and continuously expanding your technical repertoire, Excellent communication skills in English
Nice to Have
Agency or consulting experience is a advantage, Experience with CRM data platforms (Salesforce Data Cloud, Adobe AEP), Familiarity with data governance and privacy regulations (GDPR, CCPA), Cloud or dbt certifications, Experience building data pipelines for AI/LLM applications
What You'll Do.
Lead Data Engineering practice
Shape data solutions for brands
Lead a team of engineers
Set vision and standards for data infrastructure
governance & orchestration
Direct people management
Collaborate with architects to define standards for data pipelines
Ensure correct adoption of modern data stacks
Serve as the final technical escalation resource
Act as the trusted technical advisor for clients
Pioneer emerging capabilities (agentic automation
AI-driven engineering)
Build repeatable solution frameworks and service offerings
Develop engineers through hands-on mentorship
and technical guidance
Shape practice direction
Partner with Architects
and client services teams
How You'll Work.
Team & Collaboration
Collaborate with architects; Collaborate with Global Data Practice Lead and domain practice peers; Partner with Architects, Strategy Consultants, and client services teams; Collaborate with a wide array of stakeholders across our organization (strategy leads, account directors, etc.); Building trust with both technical and non-technical colleagues
Communication Scope
Clearly communicate complex technical trade-offs to clients and stakeholders; Excellent communication skills in English
Full Job Description
About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com. We are seeking a Lead Data Engineer 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 leading a team of talented engineers. As aleader, 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 will 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
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