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    • You will not only establish core data structures, but also facilitate cross-functional alignment, drive data governance integration, and bridge the gap between…
    • View all Nexaminds jobs - Remote jobs - Data Modeler jobs in Remote
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    • Proven data warehouse and data mart experience.
    • Develop conceptual, logical, and physical data models for Azure Synapse warehouse and data mart environments.
    • Experience with automotive market data.
    • Some shareable examples of production data pipelines, product deployments, or data visualizations you have created.
    • 10+ years of progressive experience in data science/analytics and/or data engineering roles including in a managerial capacity leading teams.
    • Own the development of our unified data foundation and data warehouse strategy.
    • Strong data engineering experience, including:
    • You will be supporting the transformation from traditional controls monitoring to "on-screen" data driven monitoring and analytical solutions.
    • Develop tools, methodologies, and frameworks that help make both the data team and the company as a whole smarter about data.
    • Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling.
    • Proficiency using Microsoft Excel and Power BI to organize, analyze, and present data.
    • Completion of the first year in a post-secondary program in mathematics,…
    • Quality Assurance: Ensure the absolute accuracy and reliability of all built data products by proactively troubleshooting, debugging technical errors, and…
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    • With Data Engineering: Establish strict data contracts, define schema validations, and optimize data ingestion/consumption patterns from upstream Delta tables.
    • 10+ years of progressive experience in data architecture, data modeling, and data strategy roles.
    • Familiarity with data from major financial ISVs and market…
    • Provide expertise and guidance on data classification, data security, data masking, data encryption, metadata management, data governance, and data quality.
    • Improve data reliability: sanity checks, reconciliations, and data quality monitoring (as available).
    • Experience with data quality tooling / monitoring.
    • Experience with modern data transformation tools (e.g., dbt).
    • Build out AI/ML data infrastructure - feature engineering, training datasets, and model evaluation…
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Enterprise Data Modeler
Nexaminds
Remote
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Job details

Pay information not provided
Stock options, Flexible schedule
Remote

Full job description

Unlock Your Future with Nexaminds!

At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth.

Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.

Nexaminds is looking for an Enterprise Data Modeler to lead the development of enterprise and domain data models that will serve as the foundation of a strategic enterprise data transformation program. In this role, you will create and maintain Enterprise Business Data Models, Canonical Data Models, Logical Data Models, Physical Data Models, and Domain Data Models across prioritized business domains. You will not only establish core data structures, but also facilitate cross-functional alignment, drive data governance integration, and bridge the gap between business definitions and modern cloud data solutions

Location: Canada & USA

This position is open exclusively to candidates who are currently residing in the United States or Canada. Before applying, we encourage you to review our open positions and make sure the location requirements match your current location. Candidates who are not currently based in the USA or Canada will not be contacted for this opportunity.

Requirements:

  • Deep Expertise in Enterprise Data Modeling: Proven mastery in designing, maintaining, and scaling Conceptual, Canonical, Logical, Physical, and Domain-Driven Data Models aligned with Data Architecture principles.
  • 5+ years of experience working within the healthcare, health insurance, or healthcare technology industry.
  • Strong Business Domain & Facilitation Experience: Exceptional background in translating complex business concepts into resilient data models, conducting business process analysis, leading discovery workshops, and building unified business glossaries.
  • Enterprise Transformation Track Record: Experience driving large-scale enterprise data transformation programs, building durable data models grounded in business operations rather than simply mimicking source system structures.
  • Data Management & Governance Alignment: Strong working knowledge of Master Data Management (MDM), Metadata Management, Data Governance, Data Quality, and Data Lineage concepts.
  • Modern Data Platform Experience: Hands-on exposure to Cloud Data Platforms, Data Lakehouse Architectures (e.g., Databricks or similar platforms), and Data Product concepts.
  • Stakeholder Engagement & Leadership: Proven ability to collaborate with cross-functional leadership, facilitate alignment between technical and business teams, and champion data stewardship..

Responsibilities:

  • Lead the design, architecture, and maintenance of the Enterprise Business Data Model and phased Domain Data Models aligned to enterprise standards.
  • Collaborate closely with business and technical stakeholders to discover requirements, define core business entities, and establish canonical data structures across domains.
  • Drive data model alignment with enterprise governance, metadata management, MDM, analytics, AI, and reporting initiatives.
  • Support technical implementation and engineering teams in translating conceptual and business data models into scalable physical data solutions.
  • Facilitate cross-functional workshops to resolve data definition ambiguity and establish unified business glossaries and data stewardship practices.
  • Serve as the domain architecture lead ensuring data models deliver high availability, long-term durability, and flexibility for modern analytics platforms

What you can expect from us

Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.

Stock options
    Remote work options Flexible working hours
  • Benefits above the law
  • But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
  • You'll have access to mentorship and tons of opportunities to learn and level up.

Ready to embark on this journey with us? If you're feeling the excitement, go ahead and apply!

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