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# Data Architect - Contract - Remote

- **Company:** Infoorigin inc -
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,400.0 - $135,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Data Architecture, Data Dictionary, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Database Design, Python (Programming Language), Metadata, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Power BI, Standard Sql, SQL Server Integration Services, Data Streaming, Tableau (Software), Data Ingestion, Azure Data Factory, Informatica Powercenter, Snowflake, Data Lakes, AWS Glue, Enterprise Integration, Restful APIs, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks
- **Published:** August 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=2c9924556265e3c9

## About the Role

* 5+ years of Data Architecture, Data Modeling, and Database Design.
 * 5+ years with SQL Server, Oracle, or similar RDBMS.
 * 5+ years with Azure and/or AWS.
 * 5+ years with ETL/ELT, APIs, and data integration.
 * 5+ years of experience with Snowflake or modern cloud data warehouses.
 * Strong SQL, data modeling, data warehousing, and integration skills.
 * Experience with data governance, security, and performance optimization.

Preferred Skills

Azure Data Factory, AWS Glue, Databricks, SSIS, Informatica, Azure Synapse, AWS Redshift, REST APIs, Data Lake/Lakehouse, Python, Power BI/Tableau.

## Description

Seeking an experienced Data Architect to design and implement scalable, secure, and high-performing data solutions. The ideal candidate will have strong expertise in data architecture, data modeling, SQL Server/Oracle, cloud platforms, ETL/ELT, and Snowflake., * Design enterprise data architecture, data models, schemas, and data flows.

 * Design and optimize databases, data warehouses, and ETL/ELT pipelines.
 * Develop data integration solutions across on-premises and cloud environments.
 * Leverage Snowflake for data ingestion, transformation, warehousing, and analytics.
 * Establish data governance, quality, security, metadata, and data dictionary standards.
 * Collaborate with DBAs, developers, business analysts, and stakeholders to deliver data solutions.
 * Ensure data architecture meets performance, scalability, security, and compliance requirements.
 * Evaluate and recommend modern cloud and data technologies.


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