Overview
Skills
Job Details
LOCLAL CANDIDATES PREFERRED, 30% BONUS
The company is seeking a Senior Data Modeler to join our growing team. As a Senior
Data Modeler, you'll get the opportunity collaborate across the company in a dynamic
environment. 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 data modeling and
collaboration tools, you ll help design, implement data model for Analytical, operational
and transactional solutions.
Responsibilities:
Partner with Architects, Engineers, Analysts and product owners, to design and
manage the structure of an organization's data systems to optimize data storage,
accessibility, and usability
Develop and collaborate to establish data modeling standards, for analytical,
operational and transactions databases
Create logical, conceptual and physical data models for analytical, operational and
transactional solutions
Enforce and maintain compliance with data modeling standards across all
solutions
Execute knowledge management, thought leadership and innovation activities; act
as an advisor and mentor to technical resources providing guidance and motivation
Provide data modeling guidance and coaching to developers and engineers; may
act as mentor to technical team members
Collaborate with data governance on cataloging, data related policies, data lineage related activities Be a subject matter expert for development teams as part of implementation Document and maintain data modeling artifacts, acts as custodian of the data models, and publish the models for wider use across the organization Skills You Bring: Bachelor's or master's degree in computer/data science technical or related experience 5+ years of hands-on relational, dimensional, and/or analytic experience Strong SQL knowledge and work experience with databases such as PostgreSQL, Snowflake Experience with modeling tools (PowerDesigner or Erwin or ER Studio or others) required High competence defining data modelling standards and guidelines as well help teams adopt complex large-scale and global data driven implementations Demonstrate hands-on data modeling, ER diagram and enterprise software design experience for OLTP (relational) and analytical systems including, a good understanding of semantic data modeling concepts, multi-Fact model and time series data handling Ability to quickly grasp technological, business concepts, key domain and entities Excellent 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 Proficiency with data catalog and data lineage toolset (E.g. Alation, Collibra) Expertise working with data governance team to identify and capturing business and technical metadata associated with various data entities Desire to work within a fast-paced environment with short release cycles and an agile development methodology
Capable of working on multiple projects/products simultaneously and comfortable working with minimal specifications Strong Domain knowledge / Financial Industry experience required