VML MAP
Leaddataengineer&TeamLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead data engineer & Team Lead at VML MAP. Skills: Data Engineering, Data Architecture, Team Mentoring, Modern Data Stack. Collaborate with architects to define standards. Ensure correct adoption of modern data stacks”
What You'll Achieve.
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, Deep expertise in modern data stack, Architectural skills, Proficiency in SQL, Proficiency in Python, Proficiency in modern engineering workflows, Proven experience mentoring engineers, Commercial awareness, Client-facing skills, Excellent communication skills in English
Nice to Have
Agency or consulting experience, Experience with CRM data platforms, Familiarity with data governance and privacy regulations, Cloud or dbt certifications, Experience building data pipelines for AI/LLM applications
What You'll Do.
Collaborate with architects to define standards
Ensure correct adoption of modern data stacks
Serve as final technical escalation resource
Act as trusted technical advisor for clients
Provide strategic guidance on data architecture
Identify opportunities where data infrastructure can drive business
Pioneer emerging capabilities
Build repeatable solution frameworks
Build repeatable service offerings
Develop engineers through hands-on mentorship
Develop engineers through code reviews
Develop engineers through technical guidance
Empower engineers to solve complex challenges
Shape practice direction
Shape practice standards
Shape practice growth
Partner with Architects
Partner with Strategy Consultants
Partner with client services teams
Deliver integrated solutions
Deliver winning solutions
How You'll Work.
Team & Collaboration
Architects; Strategy Consultants; Client services teams; Global Data Practice Lead; Domain practice peers; Technical stakeholders; Non-technical colleagues
Communication Scope
Communicate technical trade-offs
Process & Methodology
CI/CD
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 Principal 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 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 & A
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