Real-Time Art Market Analytics Platform Development

The Art & Collectibles industry is evolving rapidly with digital transformation, and our enterprise company is at the forefront, aiming to redefine data-driven decision-making in this space. We seek an experienced data engineering team to develop a real-time analytics platform that collects, processes, and analyzes data from various art market sources. The platform will use a data mesh architecture to decentralize data ownership, allowing cross-functional teams to access insights relevant to their domain. The project involves integrating event streaming with Apache Kafka to capture real-time transactions, bids, and market trends. Spark and Databricks will be employed for scalable data processing and machine learning capabilities to forecast trends and valuations. Airflow and dbt will orchestrate data pipelines, ensuring seamless workflow management and data transformation. Snowflake and BigQuery will serve as the core data warehouses for storing and querying vast datasets. We envision a platform that not only provides historical analyses but also offers predictive analytics, leveraging MLOps and data observability to ensure model accuracy and data integrity. This solution will enable stakeholders to make informed investment decisions, ultimately enhancing the competitive edge of our company in the Art & Collectibles market.