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Lead Data Engineer — Marvik, Peru (Hiring Now)
Want to build the plumbing that powers not just analytics, but the next generation of AI applications?
⚙️🚀
🌟 What do we offer:
Projects ranging from massive batch processing to real-time streaming and event-driven architectures.
Exposure to the cutting edge of AI Engineering: integrating Vector Databases and preparing unstructured data (text, images).
Opportunity to work with top-tier open-source orchestration and processing tools (Airflow, Spark, Kafka).
A culture of continuous learning
🧑🏻💻 Responsibilities:
Partner with the CTO and leadership to set the Intelligence strategy and roadmap; own the execution
Build, hire, and develop the Intelligence team — set the bar for craft, shape the operating cadence, and build the collaboration patterns with product, platform, and engineering
Stand up the canonical data substrate: schema discipline, tenancy isolation, data contracts, lineage, and governance that AI/ML workloads run cleanly against
Stand up the ML and AI platform: model lifecycle, feature store, vector store, training and serving infrastructure, and MLOps practice
Lead the learning and reasoning capabilities of the platform: RAG architectures, agentic data systems, knowledge graphs, and the patterns that let Stratus's data compound into platform intelligence
Develop and drive evaluation frameworks measuring model quality, agent reliability, drift, and platform effectiveness — make AI workloads observable to engineering, product, and customer success
Drive the build-vs-buy posture for the AI/ML stack; set production readiness standards for AI workloads in close collaboration with the platform team
Partner with product on the AI use case portfolio; engage directly with customers when needed to ground Intelligence decisions in real workflow problems
🤝 If you have:
AI-driven leadership posture: you personally set the bar for AI-augmented practice — you build with AI tools, expect your team to, and know how to distinguish what's ready to ship from what still needs a human call
10+ years of professional experience in AI/ML, data engineering, or data science, with 4+ years in formal leadership roles (Senior Manager, Director, or Head of) at a B2B SaaS or AI/ML platform company
Demonstrated track record of building and leading AI/ML or data teams of 5–15 people, with a strong hiring track record in the AI/ML market within the last two to three years
Deep technical credibility across the modern AI/ML stack: data platforms (Postgres, pgvector, MongoDB or equivalent), ML platforms (training, serving, MLOps), and generative AI (LLMs, embeddings, RAG, fine-tuning, evals)
Experience shipping production ML and AI workloads to enterprise customers with the trust patterns that come with it: evals, observability, drift detection, confidence scoring
Excellent communication across all audiences — engineers, product, executives, and customers; strong cross-functional partnership instincts with product, engineering, and customer-facing teams
🦾 It’s a plus:
Experience in construction tech, MEP, BIM, AEC, or other CAD and engineering workflow domains
Background in AI security and threat modeling: prompt injection, data exfiltration, agent abuse, tenant isolation for AI workloads
Experience with Azure-native AI architecture (Azure ML, Azure AI Foundry, AKS)
Prior experience at a Series B or growth-stage company navigating the transition from product-market fit to scale
Background in regulated or enterprise sales motions where compliance, security, and SLA discipline are non-negotiable
This call is made within the framework of Law 19.691 on the Promotion of Employment for Persons with Disabilities, including individuals registered in the National Registry of Persons with Disabilities of the Ministry of Social Development
✨ Smart • Intelligent • Private • Secure
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Unlock Your Lead Data Potential: Insight & Career Growth Guide
Real-time Lead Data Jobs Trends in Peru, Peru (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Lead Data in Peru, Peru using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1403 jobs in Peru and 76 jobs in Peru. This comprehensive analysis highlights market share and opportunities for professionals in Lead Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Marvik is currently hiring and seeking a Lead Data Engineer to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Marvik adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Lead Data Engineer Jobs Peru varies, but the pay scale is rated "Standard" in Peru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Lead Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Lead Data Engineer interview at Marvik, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Marvik's products or services and be prepared to discuss how you can contribute to their success.
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