Data Modeler

Data Modeler (9month contract, fully remote)

with 5+ years'
experience to join our Data Engineering team. You'll work closely with stakeholders and
engineering squads to translate business requirements into robust data models and semantic
layers, enabling analytics, BI, and AI/ML workflows.

Key Responsibilities
Design and maintain conceptual, logical, and physical data models aligned with
business objectives and enterprise standards.
Build modern data architectures and semantic layers using tools like Snowflake, Atlan,
or cloud-native platforms.
Author and optimize advanced SQL queries, stored procedures, and ETL scripts to
support pipelines.
Collaborate with data engineers, data scientists, and analysts to translate data
requirements into reusable, scalable models.
Manage and govern metadata, data dictionaries, and glossary.
Ensure data quality, reduce redundancy, and improve performance and cost efficiency.
Evaluate and recommend new data modeling approaches/tools.

Required Skills & Experience
5+ years of hands-on experience in data modeling (conceptual, logical, physical).
Proven proficiency in SQL, ETL/ELT design, dimensional modeling approaches (Kimball,
Data Vault, etc.).
Experience with cloud data platforms Snowflake preferred; Azure or AWS
acceptable.

Familiarity with metadata/catalog tools (e.g., Atlan).
Strong communication skills able to convey technical designs to business
stakeholders.
Experience in a lean/Agile development environment with cross-functional squads.

Desirable/Bonus
Experience with semantic layers for BI and analytics.
Familiarity with data governance, data dictionaries, and metadata management best
practices.
Background in Apache Airflow or orchestration pipelines.
Exposure to machine learning, predictive modeling, or generative AI use cases.
Azure-specific stack experience (e.g. Synapse, Data Factory, Data Lake).