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Full Time Snowflake Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

... Snowflake, and AI-enabled development tools. This is a full-time, in-office position. Responsibilities * Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, ...

Senior Manager Data Architecture

Tempe, AZ

$64.50 - $86.25/hr

Location This is a full-time (5 days in office) role based at an established Circle K office ... Azure, Snowflake, Databricks, and related data technologies. Key Responsibilitiesand ...

... Schema, Snowflake, data modeling experience using Normalization, Business Process Analysis ... This is the full time job with Infosys. * No OPT and H1-B please. * Only H4-EAD, L2-EAD, EAD-GC ...

Proficient in the use of SQL, SnowFlake, MS Excel, and ERP systems. What we'll offer in return * Competitive full-time salary. * Medical, Dental, and Vision benefits. * 401K with company match. * A ...

Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $135K/yr

About the Job PetSmart LLC seeks a full-time Senior Data Engineer based in Phoenix, AZ. The Senior ... Snowflake); Software Development Life Cycle (SDLC) / Agile development to plan and organize work ...

Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $135K/yr

About the Job PetSmart LLC seeks a full-time Senior Data Engineer based in Phoenix, AZ. The Senior ... Snowflake); Software Development Life Cycle (SDLC) / Agile development to plan and organize work ...

Proficient in the use of SQL, SnowFlake, MS Excel, and ERP systems. What we'll offer in return * Competitive full-time salary. * Medical, Dental, and Vision benefits. * 401K with company match. * A ...

Proficient in the use of SQL, SnowFlake, MS Excel, and ERP systems. What we'll offer in return * Competitive full-time salary. * Medical, Dental, and Vision benefits. * 401K with company match. * A ...

Role Type: Full time Salary: $70,500 - $75,000 per year + annual performance based bonus Actual ... Working proficiency with analytics and data tools such as SQL, Snowflake, Python, R, Power BI, or ...

Experienced Accountant

Scottsdale, AZ · Hybrid

$80K - $90K/yr

Role Type: Full-time Salary : $80,000 - $90,000 per year + annual bonus Actual compensation offered ... Public Company/Controls experience (SOX) * Experience with SQL, Alteryx, Snowflake, Power BI or ...

Showing results 21-40

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?

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 Arizona? The most popular types of Snowflake jobs in Arizona are:
What are popular job titles related to Full Time Snowflake jobs in Arizona? For Full Time Snowflake jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Full Time Snowflake jobs in Arizona look for? The top searched job categories for Full Time Snowflake jobs in Arizona are:
What cities in Arizona are hiring for Full Time Snowflake jobs? Cities in Arizona with the most Full Time Snowflake job openings:
Infographic showing various Full Time Snowflake job openings in Arizona as of August 2026, with employment types broken down into 88% Full Time, 3% Part Time, and 9% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

Senior Manager Data Architecture

Circle K Stores, Inc.

Tempe, AZ • On-site

$64.50 - $86.25/hr

Full-time

Re-posted 4 days ago


Circle K rating

4.9

Company rating: 4.9 out of 10

Based on 1,354 frontline employees who took The Breakroom Quiz

32nd of 46 rated convenience stores


Job description

Sr. Manager, Data Architecture
About Circle K
Circle K is a global leader in convenience and fuel, operating in 24 countries and part of the Alimentation Couche-Tard family. We are driving a massive digital transformation, leveraging our global scale and data assets to redefine the customer experience and operational efficiency. Join our Global Data Engineering, Architecture and Enablement team and help build the foundation for data-driven decisions across our entire enterprise.
Location
This is a full-time (5 days in office) role based at an established Circle K office location.
The Role
Circle K is looking for a Sr. Manager, Data Architecture to lead the team that defines how enterprise data is discovered, modeled, integrated, governed, and delivered through our modern global data platform. This is a high-impact leadership role for someone who can combine strong people leadership with deep data architecture expertise. The right candidate will bring structure to ambiguity, set clear architectural direction, and help teams move faster by creating reusable patterns, practical standards, and trusted data products across Azure, Snowflake, Databricks, and related data technologies.
Key Responsibilities and Accountabilities
This role owns the architecture function for the full data lifecycle, from source discovery and ingestion through curated data products and semantic models. The person in this role will lead a team of data architects and modelers while partnering with engineering, analytics, governance, platform, and business teams to deliver scalable, reusable, and business-ready data solutions.
1. Strategy & Leadership
  • Lead and develop the Data Architecture team, including data architects and modelers responsible for enterprise data design, modeling standards, and architectural direction.

  • Set the data architecture vision and roadmap for Circle K's modern data platform, translating strategy into practical standards, reference architectures, and execution priorities.

  • Create focus and drive decisions across competing priorities, helping teams balance speed, quality, reuse, governance, and business value.

  • Lead through transformation as teams move from legacy, project-based delivery toward reusable, domain-aligned, product-oriented data platform practices.

  • Influence across teams and senior stakeholders, building alignment with data engineering, BI, analytics, platform, governance, product, and business leaders.

2. Own End-to-End Data Architecture
  • Guide source discovery and data assessment, including source system identification, data availability, freshness, latency, volume, velocity, and initial source-to-target mapping.

  • Define ingestion and raw layer architecture, including batch, streaming, CDC, API, and file-based patterns; raw/bronze landing schemas; and incremental load strategies.

  • Establish cleansed and standardized data structures, including silver layer schema design, data type standardization, format normalization, and consistent transformation patterns.

  • Own refined and dimensional modeling standards, including facts, dimensions, conformed dimensions, slowly changing dimensions, surrogate keys, business keys, grain definition, and referential relationships.

  • Design curated data products that integrate data across domains and are reusable, governed, versioned, and aligned to business consumption needs.

  • Influence semantic layer patterns that provide consistent business metrics, entities, hierarchies, and self-service analytics experiences.

3. Establish Architecture Standards and Governance
  • Define reusable architecture patterns for ingestion, transformation, modeling, data products, semantic models, metadata, lineage, and quality controls.

  • Establish practical design review practices that improve quality and consistency without slowing delivery.

  • Partner with Data Governance to ensure architecture standards support data quality, ownership, stewardship, privacy, security, retention, and regulatory requirements.

  • Create clear architecture documentation that can be used by engineers, product teams, governance partners, business stakeholders, and senior leaders.

4. Partner Across Delivery and Modernization
  • Partner with Data Engineering, BI, Analytics, Platform, DevOps/DataOps, Data Governance, and business product teams to shape integrated data solutions from concept through delivery.

  • Support platform modernization and migration from legacy data environments to modern Azure, Snowflake, Databricks, lakehouse, warehouse, and data product patterns.

  • Stay technically engaged through design reviews, solution shaping, reference architectures, and targeted prototypes while enabling teams to execute independently.

  • Integrate architecture work into delivery planning, including prioritization, estimation, PI planning, backlog readiness, and roadmap execution.

What a Strong Candidate Looks Like
  • A proven data architecture leader who has managed or led senior architects, modelers, or technical design teams.

  • Someone who has built or modernized enterprise data platforms, preferably using Azure, Snowflake, Databricks, data lake, data warehouse, or lakehouse technologies.

  • A hands-on architecture leader who understands data modeling, ingestion patterns, dimensional design, semantic layers, governance, and data product design deeply enough to guide others.

  • A practical communicator who can simplify complex architecture decisions for engineers, business partners, governance teams, and executives.

  • A transformation-minded leader who can bring structure, standards, and direction without creating unnecessary bureaucracy.

  • Someone who has experience in retail, convenience, fuel, merchandising, loyalty, supply chain, finance, store operations, or customer/digital data domains.

Required Qualifications
  • 10+ years of experience in data, analytics, enterprise architecture, solution architecture, or related technology roles, including 5+ years focused on data architecture.

  • People leadership experience leading, managing, or mentoring data architects, data modelers, or senior technical specialists.

  • Strong enterprise data architecture background, including architecture standards, design patterns, roadmaps, governance practices, and cross-domain solution design.

  • Modern data platform expertise across cloud data platforms such as Azure, Snowflake, Databricks, data lakes, data warehouses, or lakehouse architectures.

  • Deep data modeling experience, including conceptual, logical, physical, dimensional, and semantic modeling.

  • Strong knowledge of ingestion and integration patterns, including batch, streaming, CDC, APIs, and file-based data movement.

  • Experience with governed data products that support analytics, BI, AI/ML, data science, reporting, and operational insight use cases.

  • Experience with data modeling, cataloging, or governance tools; Erwin experience is preferred.

  • Strong transformation leadership with the ability to lead teams through ambiguity, modernization, operating model change, and legacy platform migration.

  • Excellent executive and technical communication skills, with the ability to explain tradeoffs, risks, decisions, and recommendations clearly.

Why Join Circle K?
You will be joining a high-impact team at a pivotal moment in our technological transformation. You will have the autonomy to define the enterprise-level data landscape for a global organization, directly contributing to business performance and customer experience.
#LI-PG1
Circle K is an Equal Opportunity Employer.
The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company's Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process.

Click below to review information about our company's use of the federal E-Verify program to check work eligibility:
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About Circle K

Sourced by ZipRecruiter

Circle K Stores are owned by Alimentation Couche-Tard, the largest convenience store operator in Canada. We are recognized for our strong food service brands, Simply Great Coffee, and of course our icy cold, flavour abundant Frosters. Our innovative store design and merchandising is second to none.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Tempe, AZ, US