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Snowflake Data Warehouse Jobs (NOW HIRING)

Eitacies Inc

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$110K - $132K/yr

Strong experience in ETL, Data Modeling, Data Warehousing * Hands-on with AWS Cloud environment ... Build and optimize Snowflake data pipelines * Handle data ingestion from multiple sources * Ensure ...

Purple Drive Technologies

Snowflake Developer

Dublin, OH · On-site

$47.50 - $65/hr

Design, develop, and maintain Snowflake data warehouses and data pipelines. * Optimize ETL/ELT processes for performance and scalability. * Implement data transformations, data cleansing, and data ...

Prophecy Technologies

Snowflake Developer

Jersey City, NJ · On-site

$119K - $143K/yr

The ideal candidate will have strong expertise in Snowflake Data Warehouse, Matillion ETL, AWS services, and data modeling (Facts & Dimensions, SCD Type 2) with proven experience in data cleaning ...

Intrepidgs

Data Warehousing Administrator

Mclean, VA · On-site

Familiarity with the Snowflake data warehouse * Experience in managing Snowflake using SQL commands * Some basic knowledge in data processing * A passion for blockchain * Python programming

Seven Seven Software

Data Engineer

Alpharetta, GA · On-site

$111K - $134K/yr

... Snowflake Data Warehouse. • Finalize preferred solution alternative working with IT and Business stakeholders to build data ingestion pipeline using tools like Talend, Informatica, etc. • Need to ...

Intrepid

Data Warehousing Administrator

Mclean, VA · On-site

Familiarity with the Snowflake data warehouse * Experience in managing Snowflake using SQL commands * Some basic knowledge in data processing * A passion for blockchain * Python programming

Purple Drive Technologies

Snowflake Engineer

Dublin, OH · On-site

$110K - $132K/yr

Snowflake Data Warehouse (architecture, performance tuning, best practices) * Data Modeling: Dimensional modeling (Star/Snowflake schema), normalization/denormalization * SQL Expertise: Advanced SQL ...

Kanak Elite Services Inc

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Develop and maintain data warehouse solutions leveraging Snowflake cloud data warehouse platform. Create and manage data models, schemas, and data integration workflows to support reporting and ...

Infojini

Snowflake Data Engineer - Onsite

Baltimore, MD

$113K - $136K/yr

Lead on-premise to cloud migration initiatives for enterprise data warehouses and analytics ... Leverage Snowflake Cortex AI and AI-enabled architectures to support advanced analytics and ...

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How much do snowflake data warehouse jobs pay per year?

As of Jun 7, 2026, the average yearly pay for snowflake data warehouse in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Snowflake Data Warehouse Engineer, and why are they important?

To thrive as a Snowflake Data Warehouse Engineer, you need strong SQL skills, experience with data modeling, ETL development, and a background in computer science or related fields. Familiarity with the Snowflake platform, cloud services (such as AWS or Azure), and certifications like Snowflake SnowPro are highly beneficial. Problem-solving ability, attention to detail, and effective communication help you design robust solutions and collaborate across teams. These skills ensure secure, efficient, and scalable data management critical for business analytics and decision-making.

What is a Snowflake Data Warehouse?

A Snowflake Data Warehouse is a cloud-based data storage and analytics service. It allows organizations to store, process, and analyze large volumes of data efficiently using a scalable, pay-as-you-go model. Snowflake separates compute and storage, enabling flexible workloads and seamless data sharing. Its architecture supports structured and semi-structured data, making it popular for modern data analytics and business intelligence tasks.

What are some common challenges faced when working with a Snowflake Data Warehouse, and how can they be addressed?

One common challenge in a Snowflake Data Warehouse role is optimizing query performance, especially as data volume grows. It's important to understand Snowflake's unique architecture, such as its separation of storage and compute, and to leverage features like clustering and result caching. Managing user access and data security is another key area, requiring collaboration with IT and compliance teams to ensure data governance. Regularly collaborating with data engineers, analysts, and business stakeholders helps align data models and performance tuning with organizational needs. Staying updated on Snowflake’s latest features and best practices can also make a significant difference in overcoming these challenges.

What is the difference between Snowflake Data Warehouse vs Data Engineer?

AspectSnowflake Data WarehouseData Engineer
Primary RoleDesigning, implementing, and managing data storage solutions using SnowflakeBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsKnowledge of Snowflake, SQL, cloud platforms (AWS, Azure, GCP), data modelingSQL, ETL tools, programming (Python, Java), cloud services, data architecture
Work EnvironmentCloud-based data platforms, collaborative teams, data analytics projectsData pipelines, cloud environments, cross-functional teams, software development

While Snowflake Data Warehouse specialists focus on managing and optimizing Snowflake environments, Data Engineers build the pipelines and infrastructure that feed data into systems like Snowflake. Both roles often collaborate but have distinct technical focuses within data management and engineering.

Snowflake Data Architect

Snowflake Data Architect

Keeley Construction

Edwardsville, IL • Hybrid

Full-time

Posted 5 days ago

Job description

At Keeley Companies, we believe in empowering our people and fulfilling career aspirations. Keeley is a career destination with countless opportunities for advancement, and a world-class family culture that is centered around creating the best possible environment for our people to thrive.

Keeley Companies is looking to hire a Snowflake Data Architect for our IT Team in St. Louis, MO.

Primary Responsibilities
  • Define and execute the target-state Snowflake architecture supporting enterprise reporting, analytics, and decision-making across key business domains.
  • Establish enterprise data modeling standards, architectural patterns, governance frameworks, and golden-source strategies.
  • Design scalable logical and physical data models for Project Management, HR, Finance, Accounting, Legal, and Operations data domains.
  • Develop and maintain a multi-year enterprise data warehouse and data modernization roadmap aligned with business objectives.
  • Design AI-ready data architectures that support both structured and unstructured data for advanced analytics and generative AI use cases.
  • Establish Snowflake governance standards including security, cost management, performance optimization, data sharing, monitoring, and observability.
  • Design and implement Snowflake Cortex capabilities, including AI SQL, LLM functions, document intelligence, vector functions, and Snowpark solutions.
  • Lead the development of scalable data ingestion frameworks integrating enterprise applications such as CMiC, UKG, Salesforce, and other critical systems.
  • Oversee enterprise data quality, testing, validation, reconciliation, and observability standards.
  • Drive Snowflake performance tuning initiatives through query optimization, clustering strategies, workload management, and concurrency scaling.
  • Lead large-scale data warehouse modernization and legacy data migration efforts.
  • Partner with business and technology leaders to translate complex requirements into scalable data platform solutions.
  • Mentor and guide data engineers, analysts, and data scientists in implementing enterprise data architecture and engineering best practices.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • 8+ years of enterprise data architecture, data warehousing, and data platform experience.
  • 4+ years of hands-on experience designing and leading Snowflake implementations in cloud production environments.
  • Proven experience delivering enterprise-scale data warehouse, analytics, and data transformation programs.
  • Deep expertise in Snowflake architecture, including storage and compute separation, micro-partitioning, clustering, performance tuning, governance, and cost optimization.
  • Advanced knowledge of dimensional modeling, enterprise data architecture, and data governance best practices.
  • Strong SQL development skills and experience with modern ELT/ETL tools such as dbt, Fivetran, SSIS, and orchestration platforms.
  • Experience integrating structured and unstructured data sources, including documents, spreadsheets, emails, and PDFs.
  • Strong understanding of Microsoft Azure cloud services and enterprise data integration patterns.
  • Experience implementing Snowflake Cortex, Snowpark (Python), AI SQL, and AI-driven analytics capabilities in production environments.
  • Experience supporting database administration, data migrations, and modernization initiatives.
  • Strong leadership, communication, and stakeholder management skills with the ability to present technical strategy to executive audiences.
  • Demonstrated ability to mentor technical teams and align data platform strategies with long-term business objectives.
  • SnowPro Advanced Certification preferred.
  • Experience supporting construction, project-based, HR, finance, accounting, legal, or operations data environments preferred.

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All Keeley Brands (Keeley Construction Group, Keeley Properties, Keeley Restoration, Keeley Companies) do not accept unsolicited resumes from search firms, headhunters, or agencies. Any resume submitted to any employee of a Keeley company without a prior written search agreement will be considered unsolicited and the property of any Keeley Company. Please, no phone calls or emails.

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