Senior Data Modeler Lead
7 days ago
About the Role
Fidelity Investments is seeking an experienced Senior Data Modeler to join our team. In this role, you will have the opportunity to collaborate with cross-functional teams to design and implement data models for analytical, operational, and transactional platforms.
Responsibilities
- Develop conceptual, logical, and physical data models using AWS and/or on-premises services.
- Work closely with product teams, data engineering teams, architecture, and business stakeholders to understand data requirements.
- Design and implement data models that support Crypto Trading and model various domains and entities in scope.
- Enhance existing data models as the business evolves.
- Collaborate with the Data Governance team to identify and capture business and technical metadata associated with various data entities.
Requirements
- Bachelor's or master's degree in computer science, data science, or a related field.
- 5+ years of hands-on relational, dimensional, and/or analytic experience.
- Python knowledge is a plus.
- Strong SQL knowledge and work experience with databases such as Oracle, PostgreSQL, Snowflake, Teradata.
- Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
- Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
- Demonstrated, hands-on data modeling, ER diagram, and enterprise software design experience for OLTP (relational) and analytical systems.
- Good knowledge of data modeling principles and standard methodologies including a good understanding of semantic data modeling concepts and multi-Fact model.
- Ability to define data modelling standards and guidelines as well help teams adopt complex large-scale & global data driven implementations.
- Strong experience in data modelling activities supporting history handling time series data warehousing & data transformations.
- Ability to quickly grasp technological, business concepts, key domain and entities.
- Strong verbal and written communication skills; experience communicating with engineers, architects, and product management to explain technical and functional concepts.
- Ability to assess the accuracy completeness and consistency of data models as well as maintaining relevant documentation.
- Experience with Alation, Collibra to drive data cataloging and data lineage.
- Strong understanding of data governance processes and metadata repositories.
- Experience of working with Data Governance team to identify and capturing business and technical metadata associated with various data entities.
- Able to work on multiple projects/products simultaneously and comfortable working with minimal specifications.
- Excellent communication and documentation skills.
What We Offer
- Competitive salary: $120,000 - $150,000 per year
- Benefits package including health insurance, 401(k), and paid time off
- Opportunities for career growth and professional development
- A dynamic and supportive work environment
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