Staff Data Engineer

Vidmob is the creative data company. Its scoring software and analytics have become an essential ingredient in the creative and media decisions of the worlds largest marketers and agencies as they strive to drive business results through improved creative effectiveness. As the leader in creative data Vidmobs influence lies in its partnerships and integrations across the digital ad ecosystem its dozens of proprietary models and in operating the industrys most robustly instrumented human-reinforcement learning model for creativity.

We are seeking an experienced Staff Data Engineer to architect scale and operationalize the data systems that power Vidmobs creative intelligence platform.

Vidmob turns creative into a measurable growth driver by connecting creative assets model outputs platform metadata media delivery and business outcomes. That requires scalable reliable data platforms for analytics machine learning customer-facing reporting APIs partner integrations and AI-driven workflows.

This role is especially important as Vidmob builds more products driven by ML and AI including LLMs VLMs creative scoring systems and agentic workflows. We need a data engineering leader who can partner deeply with Data Science to productionize models serve model outputs reliably and turn experimental intelligence into durable customer-facing products.

Because AI is changing how data systems are built and consumed you need to be an AI-forward practitioner. You will use AI to accelerate engineering validation observability root-cause analysis documentation and data discovery.

Our global team works in English so strong written and spoken English skills are essential. This position is most remote but periodic international travel within Latam or to the US will be required.

What youll do

• Architect Scalable Data Platforms: Lead the design and development of data systems that support analytics ML/AI products reporting APIs integrations and customer-facing data products.

• Own the Data Lifecycle: Drive ingestion transformation modeling validation lineage publishing and serving across Vidmobs creative media customer model-output and performance data.

• Build Reliable Pipelines: Architect batch and near-real-time pipelines that are scalable observable replayable and cost-efficient.

• Productionize ML and AI Products: Partner with Data Science to turn models scores embeddings prompts evaluations and experimental outputs into reliable production data products and customer-facing capabilities.

• Support LLM and VLM Workflows: Build data foundations for AI-powered products using LLMs VLMs multimodal analysis agent workflows and reinforcement learning.

• Define and Enforce Data Standards: Establish best practices for data contracts pipeline design testing reviews observability and production readiness.

• Create Trusted Data Products: Build governed datasets and serving patterns that support dashboards APIs exports partner integrations ML workflows benchmarks and agent-ready use cases.

• Support Platform and Partner Integrations: Build reliable data flows with ad platforms DSPs measurement partners creative systems customer environments and internal product surfaces.

• Shape Platform Strategy: Influence long-term decisions around tooling storage processing frameworks serving patterns governance and cost structure.

What were looking for

• Senior Technical Experience: 8 years in data engineering data platform engineering or analytics engineering in SaaS platform AdTech MarTech marketplace or other data-heavy environments.

• Modern Data Platform Expertise: Deep experience with modern warehouse lakehouse orchestration and transformation technologies including Snowflake Databricks and BigQuery as well as relational and noSQL databases.

• Strong Engineering Foundations: Production-grade SQL and strong programming skills in Python Scala Java or similar languages. Typescript a plus.

• Batch and Streaming Architecture: Experience designing batch incremental and near-real-time processing systems at scale.

• Pipeline and Data Modeling Depth: Experience designing high-volume processing pipelines and the architecture surrounding them.

• ML/AI Product Experience: Experience building or supporting production products powered by ML or AI ideally including LLMs VLMs embeddings recommendation systems or multimodal data products.

• Data Science Partnership: Strong ability to productionize modelsmonitor model outputs build feedback loops and make experimental work reliable at product scale.

• Data Quality and Observability: Experience implementing validation monitoring lineage alerting incident response and data trust practices for critical pipelines and model-output workflows.

• AI-First Practitioner: You actively use AI tools to accelerate development testing documentation data discovery root-cause analysis and operational workflows.

• Pragmatic Technical Leadership: You know when to build reusable platform patterns when to ship tactical fixes and how to keep one-off work from becoming permanent architecture.

• Direct Communication: Excellent writing and artifact discipline. You can explain architecture data quality risks and tradeoffs clearly across technical and non-technical audiences.

• Industry Background: Familiarity with AdTech MarTech platform APIs ML-powered products or customer-facing analytics products is a major plus.

• English Fluency: B2 written and spoken English required.

• Ownership: You own outcomes not just pipelines.

Please be aware that Vidmob will only contact candidates through emails ending in @. We will never ask for personal information such as your Social Security number bank account number or password through email. If you receive an email claiming to be from Vidmob that does not come from a @ email address or if the email asks for personal information please do not respond and report the email to us at

Required Experience:

Staff IC