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# Data Architect - Locals Only

- **Company:** Skywalk Global
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Databases, Data Architecture, Data Dictionary, Data Governance, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Database Design, Interoperability, Meta-Data Management, Microsoft SQL Server, Oracle (Applications), Cloud Services, Data Streaming, Cloud Platform System, Snowflake, Data Management, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b110c63ba95be06e

## About the Role

experience in data architecture, database design, and data modeling Required 5 Years

experience in SQL Server/Oracle or similar RDBMS Required 5 Years

experience with Cloud Platforms(Azure, AWS) Required 5 Years

experience with ETL tools, API's and integration framework Required 5 Years

Expertise with modern cloud data warehouses such as Snowflake. Required 5 Years

## Description

The Data Architect is responsible for designing, implementing, and maintaining the organization's data architecture to ensure data integrity, scalability, and accessibility. This role defines how data is stored, consumed, integrated, and managed across systems, aligning with business objectives and technology standards. The architect will also leverage modern cloud data platforms, including Snowflake, to support advanced analytics and scalable data solutions.

Key Responsibilities

Data Architecture Design

Develop and maintain enterprise data models, schemas, and standards. o Define data flows and integration patterns between systems, including cloud-native platforms such as Snowflake.

Database Management

Oversee logical and physical database design for performance and scalability. o Collaborate with DBAs on optimization, capacity planning, and Snowflake performance management.

Data Governance

Establish data quality, security, and compliance standards. o Implement metadata management and maintain a data dictionary.

Integration & ETL

Design and optimize ETL/ELT processes for data warehousing and analytics, with hands-on experience using Snowflake's ingestion and transformation capabilities. o Ensure interoperability between on-prem and cloud systems.

Collaboration

Work with business analysts, developers, and stakeholders to translate requirements into data solutions. o Provide guidance on data modeling best practices.

Performance & Security

Ensure data architecture meets performance SLAs and security requirements. o Implement encryption, access controls, and audit mechanisms across both traditional DBMS and Snowflake environments.

Innovation

Evaluate emerging technologies (cloud, big data, AI/ML) for adoption. o Recommend improvements to existing data architecture, including Snowflake optimization and new cloud capabilities.


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