Data Architect

Data Architect

Onsite (Dallas, TX/ Jersey City, NJ)

Rate: DOE

Primary Responsibility

Design and govern enterprise data architecture strategies, data modeling frameworks, and data platform standards that enable scalable, secure, and compliant data ecosystems across cloud and on-premises environments.

Required Skills

Strong enterprise data architecture design experience across relational, NoSQL, and data lakehouse paradigms

Deep expertise in data modeling: conceptual, logical, and physical models

Experience with cloud-native data platforms: AWS (Redshift, Glue, Lake Formation, S3), Snowflake, Databricks, or equivalent

Strong understanding of data governance frameworks: data cataloging, lineage, classification, and stewardship

Experience implementing data mesh or data fabric architectures in large enterprises

Proficiency with metadata management tools (e.g., Apache Atlas, Collibra, Alation)

Experience designing data pipelines and ETL/ELT workflows at enterprise scale

Understanding of data security and compliance requirements (GDPR, CCPA, SOX, PCI-DSS)

Familiarity with Infrastructure-as-Code principles applied to data platform provisioning

Experience collaborating with data engineering, analytics, and platform engineering teams

Strong knowledge of API-based data access patterns and data product thinking

Ability to define and enforce data standards, policies, and best practices across business units

Experience with real-time and streaming data architectures (Kafka, Kinesis, or equivalent)

Strong communication skills to translate complex data architecture concepts for non-technical stakeholders