Data Modeler

Data Modeler /Data Architect

Hybrid

Project /Team Description:

Responsible for the data modeling efforts in support Crypto Trading and model the various domains and entities in scope and enhance existing data models as the business evolves

Building process from scratch- data modeling, data governance. Work closely with business, data engineers and enterprise modeling team.

Candidate Profile (Must Haves):
• Data modeling Experience
• Erwin or Power Designer
• Data mapping / data taxonomy
• SQL knowledge
• Snowflake
• Data Governance- rules and conditions of what data can be accessed.

Nice to Have: Collibra or Alation experience (These are highly preferred- Consider them as Must Haves only)

Interview Process: 2 rounds over video zoom.

Description

As a Principal Data Modeler on the Data team, you'll get the lead and collaborate across You will work closely with product teams, data engineering teams, architecture, and business stakeholders to understand data requirements and translate them into conceptual, logical, and physical data models. Using AWS and/or on premises services, you'll help design, implement Data model for Analytical, operation and transaction platform. You will be responsible for the data modeling efforts in support Crypto Trading and model the various domains and entities in scope and enhance existing data models as the business evolves

The Expertise and Skills You Bring:
• Bachelor’s or master’s degree in computer/data science technical or related experience
• 7+ years of experience 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
• Experience and desire to work within a fast-paced environment with short release cycles and an iterative development methodology.