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# Data Architect

- **Company:** ASCENT SERVICES GROUP LLC
- **Location:** Richmond, VA, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Continuous Delivery, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Migration, Data Warehousing, Performance Tuning, Cloud Services, DataOps, Enterprise Data Management, Snowflake, IT Architecture, Data Management, Stream Processing, Data Pipelines
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=67ef8f226daf933c

## About the Role

Do you have experience in System tuning?, * 9+ years of Data Architecture or Data Engineering experience.

 * Strong hands-on ETL/ELT architecture and data pipeline development experience.
 * Expertise with Snowflake and enterprise data warehousing.
 * Experience with cloud data platforms and large-scale data integration.
 * Strong knowledge of data modeling, performance tuning, and data governance.
 * Experience implementing CI/CD, data quality, and pipeline monitoring frameworks.
 * Excellent technical leadership and stakeholder communication skills., Data Architecture
 * ETL Pipeline
 * Snowflake
 * Data Warehouse
 * Data Migration
 * CI/CD

## Description

* Seeking a hands-on Data Architect with strong ETL/ELT and Data Engineering expertise to design, build, and optimize enterprise-scale data platforms. The role focuses on architecting scalable data pipelines, driving data integration strategy, and supporting analytics, reporting, and AI/ML initiatives., * Design and lead end-to-end ETL/ELT architectures and data pipelines.
 * Develop scalable solutions for batch, incremental, and real-time data processing.
 * Define data modeling, transformation, governance, and performance optimization standards.
 * Establish best practices for data quality, monitoring, observability, and DataOps.
 * Collaborate with engineering, analytics, cloud, and business teams to deliver enterprise data solutions.
 * Provide technical leadership, architecture guidance, and mentorship to data engineering teams.


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