VML
Marketing
LeadDataEngineer
“Lead Data Engineer at VML. Skills: Data Engineering, Data Architecture, Team Leadership, Modern Data Stack. Lead Data Engineering practice. Shape data solutions”
What You'll Achieve.
Drive growth; Reduce time-to-value; Enable consistency across client engagements; Deliver transformational growth
Industry & Context.
Solve complex challenges
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
Set vision and standards for data infrastructure
governance & orchestration
Define standards for data pipelines
and integrations across cloud platforms and CRM platforms
Ensure correct adoption of modern data stacks using dbt
orchestration tools (Airflow)
infrastructure-as-code (Terraform)
and ELT/ETL frameworks
Serve as the final technical escalation resource
Act as the trusted technical advisor for clients
Pioneer emerging capabilities—including agentic automation and AI-driven engineering
Build repeatable solution frameworks and service offerings
Develop engineers through hands-on mentorship
and technical guidance
Shape practice direction
How You'll Work.
Team & Collaboration
Collaborate with architects to define standards; Partner with Architects, Strategy Consultants, and client services teams; Collaborate with a wide array of stakeholders across our organization (strategy leads, account directors, etc.); Collaborate with teams in the office an average of four days a week
Communication Scope
Clearly communicate complex technical trade-offs to clients and stakeholders; Excellent communication skills in English
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