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Snowflake Jobs in Virginia (NOW HIRING)

Sr. AWS Data Engineer with Snowflake

Norfolk, VA · On-site

$110K - $133K/yr

... of experience using Snowflake. 3+ years of experience using Terraform. Hands-On experience with GitHub, JIRA, Jenkins and CI/CD tools Good understanding of Data Warehousing & Data Modeling ...

Lead Forward Deployed Engineer, Snowflake

Rosslyn, VA · On-site

$116K - $153K/yr

Work you'll do As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and ...

Lead Forward Deployed Engineer, Snowflake

Rosslyn, VA · On-site

$116K - $153K/yr

Work you'll do As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and ...

Showing results 21-40

Snowflake information

See Virginia salary details

$35

$67

$84

How much do snowflake jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for snowflake in Virginia is $67.03, according to ZipRecruiter salary data. Most workers in this role earn between $59.33 and $76.01 per hour, depending on experience, location, and employer.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are the most commonly searched types of Snowflake jobs in Virginia? The most popular types of Snowflake jobs in Virginia are:
What cities in Virginia are hiring for Snowflake jobs? Cities in Virginia with the most Snowflake job openings:
Infographic showing various Snowflake job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $139,414 per year, or $67 per hour.

IT Architect - Data & Snowflake (Senior Software Systems Engineer)

Computer Enterprises, Inc.

Richmond, VA • On-site

$70/hr

Other

Posted 5 days ago


Job description

Job Title: IT Architect – Data & Snowflake (Senior Software Systems Engineer)

Rate: $70/hour W2
Location: 600 Canal Street, Richmond, VA 23219, USA
Work Arrangement: Hybrid (Week in Office / Week Remote)
 

Overview

The IT Architect – Data & Snowflake is a strategic technical leader within the Enterprise Data & Analytics team, responsible for defining the architecture, standards, best practices and future direction of the enterprise data platform. This role designs scalable data pipelines, governs Snowflake usage across the organization, and develops high quality data models that power analytics, BI, AI/ML, and data driven decision making.

The architect ensures that the data ecosystem is secure, governed, cost optimized, and capable of supporting enterprise self service analytics, operational reporting, and advanced analytics initiatives.

We are seeking a hands on Data Architect with a strong ETL and Data Engineering background to design, build, and optimize large scale data ingestion, transformation, and delivery platforms. This role is focused on creating reliable, observable, and high performance data pipelines that support enterprise analytics, reporting, and advanced AI/ML use cases.

You will architect end to end data engineering solutions across on prem and cloud platforms, lead data integration strategy, and establish best practices around data quality, monitoring, and operational excellence.
 

Technical Leadership
  • Serve as technical authority for ETL and data engineering architecture
  • Review pipeline designs, code standards, and performance benchmarks
  • Mentor data engineers on best practices and modern data engineering patterns
  • Partner with stakeholders to translate business requirements into scalable technical solutions
  • Lead complex enterprise data engineering initiatives
ETL / ELT Architecture & Design
  • Design and own end-to-end ETL/ELT architectures
  • Create batch and incremental processing frameworks
  • Define patterns for data ingestion from Oracle Exadata and other source systems
  • Architect high-volume, high-throughput pipelines
  • Establish standards for:
    • Data transformation logic
    • Schema evolution
    • Error handling and reprocessing
    • Performance tuning
  • Define best practices for:
    • Metadata management
    • Parameterization and reusability
    • Pipeline deployment and versioning
Enterprise Data Architecture
  • Architect batch, streaming, and real-time data pipelines
  • Define architectural standards for:
    • Database design
    • Data warehouse sizing
    • Multi-cluster strategies
    • RBAC
    • Performance optimization
  • Create enterprise semantic models and curated datasets
  • Develop architecture patterns supporting AI/ML feature pipelines and model scoring within Snowflake
Governance & Best Practices
  • Establish enterprise standards for data engineering and modeling
  • Implement DevOps/DataOps practices
  • Automated testing
  • CI/CD pipelines
  • Data quality controls
  • Observability standards
  • Partner with Data Governance teams on lineage, metadata and cataloging
  • Implement Snowflake security, auditing and cost management standards
Analytics & Data Product Enablement
  • Design governed data models supporting BI, dashboards and KPIs
  • Support predictive analytics, forecasting and segmentation use cases
  • Guide development of enterprise data products
Operational Excellence
  • Establish standards for monitoring, alerting and SLA/SLO management
  • Ensure scalability, resiliency and disaster recovery requirements are met
  • Lead root cause analysis and remediation efforts
  • Drive data quality and observability initiatives
Soft Skills
  • Strong verbal and written communication skills
  • Ability to collaborate across multidisciplinary teams
  • Effective leadership and stakeholder management skills
Nice to Have
  • Snowflake Certification
  • Azure Certification
  • Databricks Certification
  • Informatica Certification
Education
  • High School Diploma or Equivalent Required
Interview Process
  • Microsoft Teams Interview
  • Camera On Required
Candidate Location Requirements
  • Local Richmond-area candidates strongly preferred
  • Drive-in candidates acceptable
  • Must be willing to work hybrid schedule (week onsite / week remote)

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