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# Data Architec-CDP - Remote - Contract

- **Company:** Quantum World Technologies Inc
- **Location:** Piscataway, NJ, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Third Normal Form, Artificial Intelligence, Airflow, Microsoft Azure, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Vault Modeling, Data Warehousing, Digital Architecture, Metadata, Workflow Management Systems, Google Cloud, Cloud Platform System, Informatica Powercenter, Snowflake, AWS Data Analytics, Apache Kafka, Databricks, Control M
- **Published:** October 22, 2026
- **Apply:** https://www.careerjet.com/jobad/us828f0b3fb9f25a154231c864e27291cd

## About the Role

* 10+ years in data engineering or architecture, with 3+ years in a Data Architect role.
 * Deep expertise in a cloud data platform such as Snowflake, GCP, Databricks, or Azure/AWS data services.
 * Strong data modelling skills (dimensional, 3NF, data vault) and advanced SQL.
 * Hands-on experience with ETL/ELT and orchestration tools (DBT, Fivetran, Airflow, Informatica, Control-M, or similar) and streaming (Kafka, Pub/Sub).
 * Experience with data governance, MDM, data quality, and metadata or catalog tools.

Strong communication and stakeholder management skills, including with senior leaders

## Description

We're looking for an experienced Data Architect to design and govern our enterprise data platform. You'll define the target data architecture and lead data modelling, integration, and governance. You'll also partner with engineering, analytics, and business teams to turn business needs into scalable, secure, high-quality data solutions.
Key responsibilities

 * Design and own end-to-end data architecture, including ingestion, storage, transformation, and consumption layers (lakehouse and data warehouse).
 * Build conceptual, logical, and physical data models.Architect batch and near-real-time pipelines using modern ELT/ETL and streaming tools.
 * Set data governance, data quality, lineage, metadata, and security standards, including access control and PII handling.
 * Lead cloud data platform decisions and optimize performance and cost.
 * Partner with data engineers, BI and analytics teams, and AI/ML teams to make data AI-ready.
 * Work with business and technology leaders to translate requirements into architecture roadmaps, and present trade-offs to senior stakeholders.
 * Document architecture decisions, standards, and reference patterns.