Data Engineer, Aladdin Data, Associate

About the Role

The Aladdin Data team builds and supports data solutions that enable teams to organize, understand, and use data effectively across the platform. The team works across structured, unstructured, and graph data, connecting information into meaningful business domains and broader enterprise data models.

Your Role and Impact

As a Data Engineer within Aladdin Data, you will build scalable data solutions and develop strong data models that connect technology with business context. You will work across the data lifecycle, from pipeline development and modeling through performance optimization and production, while taking ownership of ambiguous technical problems and translating business concepts into effective data solutions.

Key Responsibilities

• Build and maintain reliable, scalable data pipelines and data products.
• Design data models across structured, unstructured, and graph data.
• Organize data into well-defined business domains and connect them into a broader enterprise ontology.
• Understand business processes through data and translate business concepts into well-designed data solutions.
• Improve the performance, scalability, and efficiency of data workloads.
• Independently investigate problems and own solutions from design through production.

Requirements & Tech Stack

• Strong hands-on knowledge of Snowflake, including performance, warehouse utilization, cost optimization, and capabilities such as Snowpipe, Tasks, Streams, Dynamic Tables, and Cortex services.
• Experience building data solutions using Structured Query Language (SQL), dbt, and Python/Snowpark.
• Experience building and operating data orchestration pipelines using directed acyclic graph-based workflow orchestration frameworks for data and batch processing, Prefect, or similar technologies.
• Strong understanding of data modeling, including entities, relationships, domains, and semantic models.
• Strong problem-solving skills, with the ability to work through ambiguity independently and understand the business context represented by the data.
• Familiarity with graph databases, knowledge graphs, and ontologies is beneficial.
• Experience with PostgreSQL or similar relational databases and exposure to data platforms supporting artificial intelligence, search, or retrieval-based applications is beneficial.

Qualifications

• Apply sound judgement and critical thinking to solve complex problems.
• Adapt as the business evolves.
• Combine curiosity to explore new approaches and technologies with the rigor to challenge results.