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Snowflake Jobs in Alabama (NOW HIRING)

Snowflake * Model Deployment: Snowflake ML Functions, Snowpark * Development: Python, SQL * Feature store: Snowflake * Experiment Tracking: MLflow Typical work includes building and maintaining ...

Snowflake * Model Deployment: Snowflake ML Functions, Snowpark * Development: Python, SQL * Feature store: Snowflake * Experiment Tracking: MLflow Typical work includes building and maintaining ...

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Experience with cloud platforms (AWS, GCP, Azure), modern data warehouses (Snowflake, BigQuery), and tools like Spark, Kafka/Kinesis, Hadoop, or S3. * Data Testing & Observability: Design and deploy ...

Data Quality Engineer

Birmingham, AL · Remote

$107K - $128K/yr

Snowflake data warehouse architecture and validation * Oracle database systems * Data reconciliation and data profiling techniques * Data modeling, normalization, and relational design * Handling and ...

Experience with Databricks, Snowflake, or similar distributed data processing platforms. * Experience implementing and managing CI/CD pipelines, infrastructure automation, and DevOps practices.

Senior Associate, Data Architect

Huntsville, AL

$62.75 - $83.75/hr

Support enterprise data environments, including data warehouses and platforms such as Snowflake and Palantir. * Assist with dashboards, reports, and analytic outputs using tools such as Power BI ...

Perform data extraction, transformation, and analysis using Snowflake, Palantir, and other enterprise platforms to support business operations, supply chain visibility, program performance, and ...

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Snowflake information

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 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.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What are the most commonly searched types of Snowflake jobs in Alabama?

The most popular types of Snowflake jobs in Alabama are:

What are popular job titles related to Snowflake jobs in Alabama?

For Snowflake jobs in Alabama, the most frequently searched job titles are:

Infographic showing various Snowflake job openings in Alabama as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, 1% Temporary, and 4% Contract. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution.

Senior Data Analytics Architect - L4 (Snowflake, Palantir, Alteryx, SQL, Power BI)

Saicon

Huntsville, AL • On-site

$64 - $85.75/hr

Other

Posted 14 days ago


Job description

Duration: 6 months Contract W2 - 2-3 days onsite and then work from home**

**Hybrid schedule.

**Possibility role can convert to direct hire**

**9/80 work schedule** alternate Friday off..

**U.S. Citizenship only, no dual citizenship**

**Manager looking to fill role in Huntsville HQ.**


Senior Data Analytics Architect - L4 (Snowflake, Palantir, Alteryx, SQL, Power BI) - is the right mix of BI, analytics, data warehousing, and stakeholder-facing experience


Job Description:

Seeking an experienced Data Scientist (Senior Data Analytics Architect - L4) with extensive expertise in data modeling, data architecture, code architecture, system design, business intelligence, project management, and operational insights. The ideal candidate will possess a strong track record with relational database management systems and data warehouse development, transforming complex data into actionable insights. Through use of data analytics, data visualization and data modeling techniques and technologies, the data scientist/architect will develop and support dashboard solutions that can help other departments, managers and executives make strategic and tactical business decisions. This individual will be key in supporting and developing new tools and providing comprehensive support to internal customers, requiring strong skills in data validation. The Data Architect will develop and support data lake, warehouse solutions, analytic models and reports, to enable strategic and tactical business decisions through advanced data analytics, data visualization, and data modeling techniques.


Essential Functions:

  • Lead and manage analytics and BI-related project activities, ensuring deliverables align with program schedules, stakeholder requirements, and operational priorities
  • Develop, maintain, and enhance Power BI dashboards, standardized reports, KPI frameworks, and data visualizations to support leadership decision-making.
  • Perform data extraction, transformation, and analysis using Snowflake, Palantir, and other enterprise platforms to support business operations, supply chain visibility, program performance, and financial analysis.
  • Utilize project management tools such as Azure Dev Ops or Jira for coordinating and prioritizing tasks across the BI organization
  • Support self-service analytics initiatives by defining data requirements, creating documentation, and establishing data-quality and governance practices.
  • Identify analytics gaps, process bottlenecks, and improvement opportunities; recommend solutions that enhance efficiency across programs and functional organizations.
  • Coordinate with IT, data engineering, and other technical teams to ensure BI tools, datasets, and data pipelines meet business needs—without requiring deep data-architecture ownership.
  • Present findings and recommendations to executives and cross-functional audiences in clear, business-oriented language.
  • Stay current on BI, analytics, visualization, and data driven program management best practices.


Skills Required:

  • 2+ years experience working with relational database management systems (Oracle).
  • 2+ years experience with Snowflake, Palantir, and/or Alteryx.


Desired:

  • Strong critical thinking and problem-solving skills.
  • Experience working across cross-functional teams to influence outcomes.
  • Ability to analyze large datasets, uncover trends, and present data-driven insights.
  • Experience with project management tools (ADO, Jira)
  • Knowledge of cloud platforms (AWS, Azure, GCP) and data warehousing best practices
  • Experience in Aerospace & Defense, Manufacturing, or Supply Chain industries.
  • Experience utilizing SQL for data extraction and database management.
  • Experience with programming languages, such as JavaScript and Python.
  • Experience with full-stack application development.


Education:

  • Bachelor's Degree and minimum 6 years of prior relevant data analytics experience.
  • Graduate Degree and a minimum of 4 years of prior related data analytics experience.
  • In lieu of a degree, minimum of 10 years of prior related data analytics experience.