Domain Data Architect

This is a fully remote position, open to applicants in Texas.

📋 Description

• Take charge of the data architecture strategy, roadmap, and standards for a specific business domain.

• Convert enterprise data principles into actionable domain data models, patterns, ownership models, and governance practices.

• Establish authoritative data entities, relationships, integration touchpoints, and consumption models for applications and analytics.

• Lead reviews of data architecture for new initiatives, migrations, enhancements, and platform decisions.

• Ensure compliance with enterprise standards for modeling, naming, security, privacy, lineage, retention, and scalability.

• Collaborate with engineering, product, analytics, integration, and platform teams to create reliable, reusable data solutions.

• Define source-to-consume reference architectures and ingestion patterns, including batch, API, event-driven, and CDC-based replication into landing and curated datasets.

• Assess data platforms, integration tools, modeling methodologies, and vendor solutions, including MDM, catalog, quality, and document/NoSQL stores as applicable.

• Undertake additional duties as assigned.

• Adhere to all policies and standards.

• Commit to the Company's dedication to workplace safety.

• Engage in and complete assigned training sessions.

⛳️ Requirements

• A Bachelor's Degree in Computer Science, Information Systems, Data Management, Engineering, or a related field is required; equivalent education, training, and experience may also be accepted.

• Over 5 years of experience in data architecture, data engineering, software engineering, or a similar technical role.

• Proficiency in designing data solutions across operational, analytical, warehouse, lakehouse, and application environments.

• Experience in developing conceptual, logical, and physical data models and implementing enterprise data governance standards.

• Familiarity with ingestion and integration patterns, including batch, APIs, event-driven architecture, and CDC/log-based replication (schema drift, incremental loads, idempotent merges, replay/backfill).

• Ability to collaborate with technical and business stakeholders to deliver analytics-ready data structures and support migration and impact analysis.

• Strong understanding of enterprise data architecture, data modeling, governance, quality, lineage, and master/reference data concepts.

• Proficient knowledge of cloud data platforms (Azure preferred), enterprise warehouses (e.g., Snowflake), BI tools (e.g., Tableau), ETL/ELT (e.g., Matillion), streaming/Kafka patterns, APIs, and PostgreSQL operational data stores.

• Insight into CDC design patterns, operational versus analytical separation, MongoDB document modeling, and AI-assisted approaches to data design and documentation.

• Practical experience with MongoDB, Snowflake, OpenFlow, PostgreSQL, Kafka, and data-as-a-service architecture.

• Background in AI agentic programming design and engineering.

• Excellent communication, collaboration, stakeholder engagement, influence without authority, and mentoring skills.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan with company matching.

• Flexible work hours and remote work options.

• Opportunities for professional development and training.

• Generous paid time off and holiday schedule.