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Machine Learning Architect Jobs in Arizona (NOW HIRING)

Data/Information Architect

Tempe, AZ · On-site

$61 - $78.50/hr

Managing and mentoring architecture talent in the respective sector * Should have delivered ... Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker ...

Data/Information Architect

Tempe, AZ

$61 - $78.50/hr

Managing and mentoring architecture talent in the respective sector * Should have delivered ... Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker ...

Principal Software Architect

Tucson, AZ · On-site

$155K - $189K/yr

Lead architectural reviews and guide critical technology decisions across software, data ... Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning ...

Principal Software Architect

Tucson, AZ · On-site

$155.67 - $189.56/hr

Lead architectural reviews and guide critical technology decisions across software, data ... Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning ...

Principal Software Architect

Tucson, AZ · On-site

$155K - $189K/yr

Lead architectural reviews and guide critical technology decisions across software, data ... Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning ...

Lead architectural reviews and guide critical technology decisions across software, data ... Evaluate and adopt emerging technologies, including artificial intelligence (AI), machine learning ...

Data/Information Architect

Tempe, AZ · On-site

$62 - $79.75/hr

The role involves managing architecture initiatives, mentoring talent, and delivering architectural ... machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker, etc. • ...

Solution Architect (21211)

Phoenix, AZ · On-site

$58.25 - $76.50/hr

Develop architecture and frameworks to support AI and machine learning initiatives, including data preparation, model integration, and deployment pipelines. * Define cloud guardrails and best ...

Solution Architect (21211)

Phoenix, AZ · On-site

$58.25 - $76.50/hr

Develop architecture and frameworks to support AI and machine learning initiatives, including data preparation, model integration, and deployment pipelines. * Define cloud guardrails and best ...

Lay the architectural groundwork for future Artificial Intelligence and Machine Learning (AI/ML) integrations, evaluating where these technologies can drive business value and enhance user ...

Lay the architectural groundwork for future Artificial Intelligence and Machine Learning (AI/ML) integrations, evaluating where these technologies can drive business value and enhance user ...

Principal Data Scientist

Phoenix, AZ · On-site

$150 - $210/hr

Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Solutions Architect Expert, or relevant Microsoft AI and data certifications.Databricks: Databricks Machine Learning Professional ...

Showing results 21-40

Machine Learning Architect information

See Arizona salary details

$43.3K

$120K

$187.8K

How much do machine learning architect jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning architect in Arizona is $119,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,800.00 and $154,700.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.
Infographic showing various Machine Learning Architect job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,986 per year, or $57.7 per hour.

Data/Information Architect

Circle K Stores, Inc.

Tempe, AZ • On-site

$61 - $78.50/hr

Full-time

Re-posted 7 days ago


Circle K rating

4.9

Company rating: 4.9 out of 10

Based on 1,363 frontline employees who took The Breakroom Quiz

32nd of 47 rated convenience stores


Job description

Mandatory Skills: Azure Databricks, Azure data lake, Ansible, SQL, Terraform, Kafka , Azure CLI, Databricks CLI, PowerShell and/or Bash.
What Could Set You Apart
  • Must have designed the E2E architecture of unified data platform covering all the aspects of data lifecycle starting from Data Ingestion, Transformation, operations, and consumption.
  • Experience in handling the key activities for the Enterprise Architecture practice for a specific sector.
  • Managing and mentoring architecture talent in the respective sector
  • Should have delivered architecture initiatives and showcased clear business efficiency in line with business strategies. Should have taken end-end responsibility & accountability in terms of architecture.
  • Should have delivered architecture roadmaps and develop delivery blueprints for the technology design.
  • Excellent communication skills and customer management skills
  • Should be able to deliver architectural initiatives in the space of digital, cloud, open-source technologies. Should have performed a similar role & capacity for large transformational engagements.
  • Hands on development Design and Develop applications using Databricks. Experience with Azure, AWS, or other cloud technologies
  • In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib.
  • Good to have any programming language experience with Python/ SQL or Spark/Scala.
  • Strong understanding of Data Modeling and defining conceptual logical and physical data models.
  • To be successful in this role, this individual must be familiar with data integration, data modeling, data warehousing, big data technologies, and should be the subject matter expert.
  • Maintains close awareness of new and emerging technologies and their potential application for service offerings and products.
  • Experience in architecting and designing technical solutions for cloud-centric solutions based on industry standards using IaaS, PaaS, and SaaS capabilities.
  • Experience building and supporting mission-critical technology components with DR capabilities.
  • Experience with multi-tier system and service design & development for large enterprises
  • Exposure to infrastructure and application security technologies and approaches
  • Familiarity with requirements gathering techniques.

Required Qualifications
  • Must have excellent coding skills either Python or Scala, preferably Python.
  • Must have at least 10+ years of experience in architecture, design, implementation, and analytics solutions with total of 12+ years in Data Engineering domain.

  • Must have designed and implemented at least 2-3 projects end-to-end in Databricks.
  • Must have at least 3+ years of experience in databricks which consists of various components as below.
  • Delta lake
  • dbConnect
  • db API 2.0
  • SQL Endpoint Photon engine
  • Unity Catalog
  • Databricks workflows orchestration
  • Security management
  • Platform governance
  • Data Security
  • Must have followed various architectural principles to design best suited per problem.
  • Must be well versed with Databricks Lakehouse concept and its implementation in enterprise environments.
  • Must have strong understanding of Data warehousing and various governance and security standards around Databricks.
  • Must have knowledge of cluster optimization and its integration with various cloud services.
  • Must have good understanding to create complex data pipelines.
  • Must be strong in SQL and spark-sql.
  • Must have strong performance optimization skills to improve efficiency and reduce cost.
  • Must have worked on designing both Batch and streaming data pipeline.
  • Must have extensive knowledge of Spark and Hive data processing framework.
  • Must have worked on any cloud (Azure, AWS, GCP) and most common services like ADLS/S3, ADF/Lambda, Cloud databases.
  • Must be strong in writing unit test case and integration test.
  • Must have strong communication skills and have worked with cross-platform teams.
  • Must have great attitude towards learning new skills and upskilling the existing skills.
  • Responsible for setting best practices around Databricks CI/CD.
  • Must understand composable architecture to take full advantage of Databricks capabilities.
  • Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker, etc.
  • Experience in distilling complex technical challenges to actionable decisions for stakeholders and guiding project teams by building consensus and mediating compromises when necessary.
  • Experience coordinating the intersection of complex system dependencies and interactions.
  • Experience in solution delivery using common methodologies especially SAFe Agile but also Waterfall, Iterative, etc.

Preferred Qualifications
  • Good to have Rest API knowledge.
  • Good to have understanding around cost distribution.
  • Good to have knowledge on migration project to build Unified data platform.
  • Good to have knowledge of DBT.
  • Experience around DevSecOps including docker and Kubernetes.
  • Software development full lifecycle methodologies, patterns, frameworks, libraries, and tools
  • Knowledge of programming and scripting languages such as JavaScript, PowerShell, Bash etc.
  • Experience with data ingestion technologies such as Azure Data Factory, SSIS, Pentaho, Alteryx.
  • Experience with visualization tools such as Tableau, Power BI.
  • Demonstrated knowledge of relevant industry trends and standards

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