Staff Data Engineer

Role Description

We are seeking an experienced Staff Data Engineer to architect, scale, and operationalize the data systems that power Vidmob’s creative intelligence platform. Vidmob turns creative into a measurable growth driver by connecting creative assets, model outputs, platform metadata, media delivery, and business outcomes. This role is especially important as Vidmob builds more products driven by ML and AI, including LLMs, VLMs, creative scoring systems, and agentic workflows.

You will:

• 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 Vidmob’s 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.

Qualifications

• 8+ years in data engineering, data platform engineering, or analytics engineering in SaaS, platform, AdTech, MarTech, marketplace, or other data-heavy environments.
• Deep experience with modern warehouse, lakehouse, orchestration, and transformation technologies including Snowflake, Databricks, and BigQuery, as well as relational and noSQL databases.
• Production-grade SQL and strong programming skills in Python, Scala, Java, or similar languages. Typescript a plus.
• Experience designing batch, incremental, and near-real-time processing systems at scale.
• Experience designing high-volume processing pipelines and the architecture surrounding them.
• Experience building or supporting production products powered by ML or AI, ideally including LLMs, VLMs, embeddings, recommendation systems, or multimodal data products.
• Strong ability to productionize models, monitor model outputs, build feedback loops, and make experimental work reliable at product scale.
• Experience implementing validation, monitoring, lineage, alerting, incident response, and data trust practices for critical pipelines and model-output workflows.
• You actively use AI tools to accelerate development, testing, documentation, data discovery, root-cause analysis, and operational workflows.
• You know when to build reusable platform patterns, when to ship tactical fixes, and how to keep one-off work from becoming permanent architecture.
• Excellent writing and artifact discipline. You can explain architecture, data quality risks, and tradeoffs clearly across technical and non-technical audiences.
• Familiarity with AdTech, MarTech, platform APIs, ML-powered products, or customer-facing analytics products is a major plus.
• B2+ written and spoken English required.
• You own outcomes, not just pipelines.

Requirements

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.

Benefits

Please be aware that Vidmob will only contact candidates through emails ending in @vidmob.com. 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 @vidmob.com email address, or if the email asks for personal information, please do not respond and report the email to us at View email address on remotive.com.