AI SCORE 8.5 / 10
Senior Data Lead Engineer - Remote Position
$120K–$150K/year
About the Role
We're hiring a Senior Data Lead Engineer to join our dynamic team at UST España & Latam. This remote position offers you the chance to lead the evolution of cloud-based data, AI, and BI platforms. As a Senior Data Lead Engineer, you will own the data lakehouse architecture and enable high-impact analytics and AI use cases in a regulated, large-scale environment.
What You'll Do
- Own and evolve the data & AI roadmap ensuring scalability, security, and cost efficiency.
- Design and maintain the enterprise lakehouse architecture.
- Deliver high-quality, trusted datasets for analytics, BI, and AI use cases.
- Act as a technical leader and mentor within the data organization.
- Collaborate with business and BI teams to define KPIs and deliver consumable datasets.
Requirements
- 5+ years of experience in Data Engineering, Data Platforms, or Advanced Analytics in enterprise or regulated environments.
- Proven experience designing and owning cloud data platforms and lakehouse architectures, preferably on AWS.
- Hands-on experience with Databricks or EMR (Spark) for large-scale data processing.
- Strong background in building data ingestion & ETL pipelines, including CDC and event-driven architectures.
- Experience enabling AI/ML use cases in production (end-to-end, not just POCs).
Nice to Have
- AWS or Databricks certifications.
- Experience with ML workflows (feature engineering, training, deployment, monitoring).
- Exposure to LLMs (RAG, fine-tuning, prompt engineering, guardrails).
- Familiarity with BI tools (QuickSight, Power BI, Qlik) from a data provider perspective.
What We Offer
- 100% remote work environment.
- Learning platforms and corporate benefits.
- Diverse and global work atmosphere.
- Relocation support for those looking to advance their careers.
- Commitment to equal opportunities in our hiring processes.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10
This role offers a unique opportunity to lead data engineering efforts in a remote setting, with competitive compensation and strong support for relocation.
Salary Range
Required
0/1
Optional
0/1
Bonus
0/1
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