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# Data Architect

- **Company:** Amazon.com, Inc.
- **Location:** Irving, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Warehousing, Software Design Patterns, Interoperability, Metadata, Meta-Data Management, Cloud Services, DataOps, Data Streaming, Unstructured Data, Enterprise Data Management, Google Cloud, Azure Data Factory, Snowflake, Microsoft Fabric, Data Lakes, AWS Data Analytics, Data Management, Data Delivery, Databricks
- **Published:** September 25, 2026
- **Apply:** https://www.careerjet.com/jobad/useeb3a454be43d8477b0a3b6535cbc156

## About the Role

* 12+ years in Data Architecture, Data Engineering, or Enterprise Architecture.
 * Proven experience implementing:

 * Data Mesh Architecture
 * Data as a Product Operating Models
 * Enterprise Data Lakes/Lakehouses
 * Federated Data Governance
 * Self-Service Data Platforms
 * Hands-on experience with cloud data platforms such as:

 * Databricks
 * Snowflake
 * Microsoft Fabric
 * Azure Data Platform
 * AWS Data Services
 * Google Cloud Data Platform

Strong knowledge of metadata management, lineage, data quality, observability, DataOps, and CI/CD

## Description

Data Mesh & Data Product Architecture

 * Define and drive enterprise-wide Data Mesh strategy, architecture, and operating model.
 * Establish domain-oriented data ownership and federated governance frameworks.
 * Lead the design, lifecycle management, and adoption of Data Products.
 * Define standards for data contracts, interoperability, metadata, lineage, quality, observability, and discoverability.
 * Enable self-service data consumption and product-driven data delivery across business domains.

Data Lake / Lakehouse Architecture

 * Design scalable cloud-native Data Lake/Lakehouse platforms supporting structured, semi-structured, and unstructured data.
 * Define architectures for batch, streaming, API, and event-driven integration patterns.
 * Create target-state architectures supporting BI, Advanced Analytics, AI/ML, and GenAI use cases.
 * Lead modernization initiatives from legacy data warehouses and siloed platforms to modern cloud ecosystems.

Governance, Security & Quality

 * Implement federated governance, privacy, security, and compliance controls by design.
 * Establish enterprise standards for data quality, observability, lineage, cataloging, and monitoring.
 * Ensure compliance with regulatory and enterprise security requirements.

Leadership & Stakeholder Management

 * Develop reference architectures, roadmaps, standards, and reusable design patterns.
 * Provide architecture leadership across business, technology, data engineering, governance, and cloud teams.
 * Engage with CDOs, CIOs, business leaders, and domain owners to align architecture with business outcomes.
 * Mentor architects and engineering teams on modern data architecture practices.


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