Senior Enterprise Data Architect | 100% Remote (EST Candidates Only)

Job Title: Senior Enterprise Data Architect Work Mode: 100% Remote (EST Candidates Only) Job Type: Long Term Contract We are seeking a Data Architect (Go Getter Attitude) who operates at the intersection of data modeling, business understanding, and analytical insight.

This role is not limited to designing schemas—it requires a deep curiosity about how the business works and the ability to translate that understanding into scalable, coherent data domains and models that serve both analytical and operational needs.

Key Responsibilities Lead the design and evolution of enterprise data models, including conceptual, logical, and physical layers.Translate complex business processes, entities, and relationships into well-structured data domains and models.Partner closely with business stakeholders to understand workflows, metrics, and decision-making processes, and reflect them accurately in data structures.Develop models that support both analytical use cases (e.g., reporting, BI, data science) and non-analytical use cases (e.g., operational systems, APIs).Establish and enforce data modeling standards, naming conventions, and governance practices across the organization.Collaborate with data engineers to ensure models are implemented efficiently in modern data platforms (e.g., warehouses, lakehouses).Analyze existing data systems to identify gaps, redundancies, and opportunities for simplification or improvement.Drive domain-oriented data architecture (e.g., data mesh principles) where appropriate, ensuring clear ownership and boundaries.Ensure data models are scalable, maintainable, and aligned with long-term business strategy.Qualifications Strong experience in data modeling (dimensional, normalized, and hybrid approaches).Demonstrated ability to deeply understand business domains and map them into data structures.Proficiency with SQL and experience working with modern data platforms (e.g., Snowflake, BigQuery, Databricks).Solid analytical skills, with the ability to explore and validate data against real business scenarios.Experience collaborating with both technical teams and non-technical stakeholders.Familiarity with data governance, metadata management, and data quality frameworks.Ability to think abstractly about systems while also engaging with detailed data-level implementation.Preferred Attributes Experience designing data domains aligned to business capabilities or bounded contexts.Background in analytics, BI, or data science that informs modeling decisions.Comfort working in evolving environments where both business and data structures are still being defined.A strong sense of ownership and curiosity about how data reflects real-world business processes.What the role is not An ETL or a Data Integration Architect