About Winston Artory Group
About Winston Artory Group
WAG is transforming how art and collectibles are valued, managed, and traded. Born from the merger of Winston Art Group (the largest independent appraisal and advisory firm in the U.S.) and Artory (a pioneer in art tokenization), we combine deep industry expertise with technologies like AI and blockchain to modernize a $2.9 trillion global asset class.
We're already generating significant revenue and recently raised our Series A from top-tier VCs. Now, we're building the next-generation platform to unlock liquidity, trust, and intelligence in the art market—and we're looking for exceptional engineers to help us do it.
The Role
We're hiring a Senior Data Engineer to architect and scale the systems that power our AI-driven valuation tools, market analytics, and collector insights. You'll lead development of our data ingestion pipelines, enrichment workflows, and metadata infrastructure—from scraping and parsing messy real-world sources to preparing structured datasets that feed public indices, machine learning models and collector-facing tools.
This is a high-ownership role for someone who thrives at the intersection of data engineering, AI integration, and real-world asset intelligence. You'll work closely with backend engineers, domain experts, and product leadership to turn fragmented data into a competitive advantage.
What you'll do
Design and operate scalable data ingestion and web scraping systems
Build batch and real-time pipelines to normalize, enrich, and version data across structured and unstructured sources
Develop systems to support LLM- and ML-based document parsing, OCR, and classification
Own the architecture of our data storage and processing stack, including PostgreSQL, data lakes, and data warehouses
Operationalize AI/ML workflows by preparing clean training and inference datasets with robust lineage, validation, and error handling
Integrate output with backend APIs, valuation services, and frontend analytics dashboards
Collaborate across engineering and product to ship reliable, intelligent features quickly
Contribute to our infrastructure tooling, including CI/CD, IaC (Terraform), and data observability
You Might Be a Fit If You
Required:
Education: B.S. in Computer Science or equivalent
Language: Fluency in English (written and spoken)
Experience: 5+ years of experience building data platforms in production environments, ideally in startup or fast-moving contexts
Technical Skills:
Fluent in Python, SQL, and familiar with orchestration tools like Airflow, Dagster, or Temporal
Have designed or maintained web scraping pipelines at scale, using best practices around retries, proxies, and anti-bot strategies
Understand tradeoffs between ETL and ELT, and have hands-on experience with data lakes and data warehouses
Have integrated structured and unstructured sources, and enjoy resolving messy edge cases that come with real-world data
Have worked with LLM APIs or ML models in production, particularly for document understanding, NLP, or entity extraction
Thrive in AI-native environments and enjoy building tools that support intelligent automation and analytics
Care about clean architecture, versioning, reproducibility, and quality in data systems
Preferred:
Experience with art, collectibles, or other fragmented asset classes where clean data is rare but valuable
Familiarity with vector databases and semantic search
Experience with modern data stack tools (dbt, Fivetran, etc.)
Knowledge of data governance and compliance requirements
We offer great benefits, including:
A Welcoming Team
A friendly, international team working with modern, cutting-edge technologies
Collaborative, inclusive, and supportive company culture
Transparent communication and regular feedback
Team-building activities and virtual social events
Employee recognition and appreciation programs
Compensation
Salary aligned with experience, skills, and local market benchmarking
Discretionary performance-based bonuses
Equity option grants of company shares, offering alignment with company success
Health & Flexibility
Flexible remote work environment
Paid time off, including vacation, sick leave, and local holiday
Additional leave for bereavement or family emergencies
Growth & Development
Opportunities for continuous learning and skill development
Access to training, courses, and knowledge-sharing sessions
Mentorship and leadership development initiatives
Please note: English fluency is required. Interviews will be conducted in English.
¿Te suena interesante? ¡Esperamos recibir tu candidatura!