Data Domain Architect

We are seeking an experienced and highly skilled Data Domain Architect to design, govern, and optimize enterprise data domains that support scalable analytics, data integration, and business intelligence initiatives. In this fully remote role, you will define data domain models, ensure data consistency, and collaborate with cross-functional teams to align data architecture with organizational strategy.

The ideal candidate has deep expertise in data architecture, strong governance knowledge, and the ability to translate business requirements into well-structured, secure, and scalable data solutions.

Key Responsibilities

Define and maintain enterprise data domain architecture aligned with business and analytics objectives

Design conceptual, logical, and physical data models across assigned data domains

Establish data standards, naming conventions, metadata, and domain-specific governance rules

Collaborate with data engineering, analytics, security, and business teams to ensure data alignment and usability

Guide the integration of data domains across systems, platforms, and cloud environments

Ensure data quality, consistency, lineage, and integrity across the data lifecycle

Support master data management (MDM), reference data, and metadata initiatives

Evaluate and recommend data architecture tools, technologies, and best practices

Provide architectural guidance for data pipelines, warehouses, lakes, and lakehouse environments

Document data architectures, domain definitions, and technical specifications

Required Qualifications

Must reside in the United States

Must possess a valid government-issued ID (e.g., U.S. Passport, Drivers License, or State ID)

Bachelors degree in Computer Science, Data Engineering, Information Systems, or a related field (Masters preferred)

5+ years of experience in data architecture, data modeling, or enterprise data design

Strong expertise in data domain-driven design, dimensional modeling, and relational data modeling

Proficiency in SQL and experience with data platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse

Experience with cloud environments (AWS, Azure, or GCP)

Strong understanding of data governance, metadata management, and data quality frameworks

Preferred Qualifications

Experience implementing domain-oriented or data mesh architectures

Familiarity with MDM tools and metadata/catalog platforms

Knowledge of data security, privacy, and regulatory requirements (HIPAA, GDPR, SOC 2, etc.)

Experience supporting analytics, BI, and machine learning use cases

Background working in large-scale or enterprise environments

Core Competencies

Strategic and analytical thinking

Strong documentation and communication skills

Ability to translate business needs into technical data solutions

Collaboration across distributed, remote teams

High attention to detail and data accuracy

Technical Requirements

Reliable high-speed internet connection

Personal computer capable of supporting enterprise data tools

Ability to work securely in a remote environment

What We Offer

Competitive salary based on experience

Fully remote work within the United States

Paid time off and paid holidays

Professional development and certification opportunities

Collaborative and inclusive remote work culture

Compliance Notice

This position is open only to candidates residing in the United States who can provide a valid government-issued ID as part of the employment verification process.