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Full Time Snowflake Jobs in Indiana (NOW HIRING)

Onebridge

Snowflake Architect

Indianapolis, IN

$61 - $78.50/hr

Snowflake Architect | About You As a Snowflake Architect, you are responsible for designing and ... A Best Place to Work in Indiana since 2015 Employment Type: FULL_TIME

Onebridge

Snowflake Data Engineer

Indianapolis, IN

$109K - $131K/yr

Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ... A Best Place to Work in Indiana since 2015 Employment Type: FULL_TIME

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

This is a full-time position working from our main offices at the Indiana Farm Bureau Football ... Snowflake and Microsoft Azure). • Collaborate with CRM, Marketing, and Analytics teams to ...

CSpring

Senior Data Consultant

Indianapolis, IN · On-site

Our full-time consultants participate in meaningful technology projects that help our clients make ... Snowflake, and Databricks. * Python or R development experience. * Business Intelligence ...

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Full Time Snowflake information

What are the typical challenges faced by Full Time Snowflake professionals when integrating Snowflake with existing data infrastructure?

Full Time Snowflake professionals often encounter challenges related to migrating legacy data systems to the Snowflake cloud platform, especially ensuring data consistency and minimizing downtime. Integrating Snowflake with various ETL tools and existing business intelligence solutions can require careful planning to optimize performance and cost. Additionally, adapting security protocols and access controls to align with Snowflake’s architecture is crucial. Collaborative problem-solving with data engineers, database administrators, and security teams is often key to successfully overcoming these integration hurdles.

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

To thrive as a Full Time Snowflake Data Engineer, you need expertise in data warehousing, SQL, and cloud platforms, often with a background in computer science or a related field. Familiarity with the Snowflake Data Cloud, ETL tools, and certifications such as Snowflake SnowPro are highly valued. Strong problem-solving, collaboration, and communication skills set top candidates apart. These competencies ensure efficient data management, seamless integration, and effective teamwork needed for successful data solutions.

What is a Full Time Snowflake developer?

A Full Time Snowflake developer is a professional who specializes in working with the Snowflake data platform on a full-time basis. Their responsibilities typically include designing, developing, and maintaining data pipelines, data warehouses, and analytics solutions within Snowflake. They work with SQL, data modeling, ETL processes, and cloud integrations to help organizations manage and analyze large volumes of data efficiently. Full Time Snowflake developers often collaborate with data engineers, analysts, and business stakeholders to deliver scalable and secure data solutions.

What is the difference between Full Time Snowflake vs Data Engineer?

AspectFull Time SnowflakeData Engineer
Required CredentialsSnowflake certifications, SQL, cloud platform knowledgeData management, SQL, cloud platforms, programming skills
Work EnvironmentCloud data platforms, analytics teamsData pipelines, ETL processes, cloud environments
Employer & Industry UsageTech companies, finance, retail using SnowflakeVarious industries, focusing on data infrastructure
Common Search & ComparisonYesYes

Full Time Snowflake roles focus on managing and optimizing data within Snowflake cloud data platforms, requiring certifications and expertise in SQL and cloud environments. Data Engineers build and maintain data pipelines and infrastructure, often working with Snowflake as part of broader data solutions. While both roles involve cloud data work, Snowflake specialists concentrate on Snowflake-specific tasks, whereas Data Engineers have a broader scope across data architecture and engineering.

What are the most commonly searched types of Snowflake jobs in Indiana? The most popular types of Snowflake jobs in Indiana are:
What are popular job titles related to Full Time Snowflake jobs in Indiana? For Full Time Snowflake jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Full Time Snowflake jobs in Indiana look for? The top searched job categories for Full Time Snowflake jobs in Indiana are:
Full Time Snowflake jobs near you
Infographic showing various Full Time Snowflake job openings in Indiana as of July 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Snowflake Architect

Snowflake Architect

Onebridge

Indianapolis, IN

$61 - $78.50/hr

Full-time

Re-posted 15 days ago

Job description

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Snowflake Architect to join our innovative and dynamic team.

Snowflake Architect | About You

As a Snowflake Architect, you are responsible for designing and guiding the implementation of modern cloud data platforms that support enterprise analytics and datadriven decisionmaking. You bring deep expertise in Snowflake and cloudnative architectures, along with a strong track record delivering greenfield data platforms and leading onpremises to cloud migrations. You operate comfortably at both the strategic and handson levels, defining architecture standards while partnering closely with engineering teams to ensure successful execution. You have a strong understanding of data strategy, governance, and enterprise data management, and you value building scalable, secure, and wellgoverned platforms from the start. You collaborate effectively with business and technical stakeholders to translate longterm data vision into practical, sustainable architectures.

Snowflake Architect | Day-to-Day

  • Lead the design and architecture of enterprise data platforms using Snowflake and Azure, supporting greenfield initiatives and largescale modernization efforts.
  • Define and implement architectural patterns for onpremises to cloud migrations, including ingestion, transformation, storage, and analytics layers.
  • Partner with data engineering and analytics teams to design scalable data models, ELT frameworks, and integration patterns using Snowflake and SQL.
  • Contribute to data strategy and roadmap development, aligning technical architecture with business goals and analytics needs.
  • Define and enforce data governance, security, and data quality standards, working closely with compliance and data management teams.
  • Review architectural designs, data pipelines, and implementations to ensure alignment with performance, scalability, security, and governance best practices.
  • Support analytics and reporting teams by ensuring Snowflake architectures enable selfservice BI and reliable access to trusted data sources.

Snowflake Architect | Skills & Experience

  • 8+ years of experience in data architecture, cloud data engineering, or enterprise data platform design.
  • Deep, handson expertise with Snowflake, including architecture design, performance optimization, security models, and largescale transformation workloads.
  • Proven experience leading greenfield data platform implementations and onpremises to cloud migrations.
  • Strong expertise in Azure, advanced SQL, and ETL/ELT architecture within enterprise data ecosystems.
  • Experience designing and supporting enterprise data strategies, including data governance, data quality, and metadata management practices.
  • Strong understanding of analytics enablement and integration with BI platforms such as Power BI or Sigma.
  • Familiarity with AI or advanced analytics concepts as applied to data platforms is a plus, but not required.

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                  Employment Type: FULL_TIME

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