Lead Martech Data Engineer & Team Lead
Map
Austin, TX, US
Onsite
2026-06-24
Estimated salary · Austin
~ $117,300 - $191,820
Low
$89K
Median
$117K
High
$153K
Market in Austin · BLS OEWS 2025
Estimated net pay
$7,613 - $11,902
/month · 22% withheld
after tax & contributions · on the estimated salary · Single, no dependents
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 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