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Data Project Manager Jobs in Snowflake, AZ (NOW HIRING)

W.W. Clyde

Plant Manager (HMA)

Show Low, AZ · On-site

... data-turn="assistant"> POSITION: Plant Manager - HMA LOCATION: Nevada & Arizona Project Locations (Travel Required; Per Diem Provided) Join WW Clyde - Where Your Work Matters At WW Clyde, we are ...

Arizona State Hospital

Job Page

Lakeside, AZ · On-site

$19.23 - $20.19/hr

... data and assist in utilizing GIS tools (ArcGIS Online/Pro) to maintain project databases and ... and management of the Mexican wolf. Collects and utilizes roadkilled native ungulates for ...

Arizona State Hospital

Job Page

Holbrook, AZ · On-site

$64K - $74K/yr

Managing equipment, inventories, vehicles, other fixed assets, and all operations performed by the ... data and information to provide guidance to project level personnel on materials issues to ensure ...

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All JobsData Project JobsData Project Manager JobsData Project Manager Jobs in Snowflake, AZ

Data Project Manager information

See Snowflake, AZ salary details

$14

$49

$68

How much do data project manager jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data project manager in Snowflake, AZ is $49.11, according to ZipRecruiter salary data. Most workers in this role earn between $42.50 and $57.50 per hour, depending on experience, location, and employer.

What does a data project manager do?

A Data Project Manager oversees data-related projects, ensuring they are completed on time, within budget, and according to specified requirements. They coordinate teams of data analysts, engineers, and other stakeholders to collect, manage, and analyze data. Their responsibilities include project planning, risk management, resource allocation, and communication with clients or leadership. Data Project Managers play a crucial role in transforming raw data into actionable insights for organizations.

How does a data project manager typically collaborate with data analysts, engineers, and stakeholders during a project lifecycle?

A Data Project Manager acts as the central point of coordination between technical teams—like data analysts and engineers—and business stakeholders. They facilitate regular meetings to clarify project goals, align on deliverables, and resolve blockers swiftly. The role often involves translating business requirements into actionable tasks for the technical team, monitoring progress, and ensuring that communication flows smoothly among all parties. This collaborative approach helps ensure data projects are delivered on time and meet organizational objectives.

What are the key skills and qualifications needed to thrive as a data project manager, and why are they important?

To thrive as a Data Project Manager, you need strong project management abilities, data analysis skills, and a relevant degree in business, information technology, or a related field. Familiarity with project management tools (like Jira or Asana), data visualization platforms (such as Tableau or Power BI), and certifications like PMP or Agile/Scrum are commonly required. Exceptional communication, leadership, and problem-solving skills help drive cross-functional collaboration and resolve complex project challenges. These skills are crucial for ensuring projects are delivered on time, data is leveraged effectively, and stakeholder expectations are met.

What is the difference between Data Project Manager vs Data Analyst?

AspectData Project ManagerData Analyst
Required CredentialsBachelor's in Business, IT, or related field; PMP or project management certifications often preferredBachelor's in Statistics, Mathematics, or related field; often requires proficiency in data analysis tools
Work EnvironmentOversees projects, manages teams, coordinates between stakeholdersAnalyzes data sets, creates reports, visualizations, and insights
Employer & Industry UsageUsed across industries for managing data projects in tech, finance, healthcareCommonly employed for data interpretation and reporting roles in similar industries

The Data Project Manager focuses on planning, executing, and closing data-related projects, ensuring timely delivery and stakeholder communication. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights. Both roles require strong analytical skills, but their responsibilities and focus areas differ significantly.

What cities near Snowflake, AZ are hiring for Data Project Manager jobs?

Cities near Snowflake, AZ with the most Data Project Manager job openings:

Data Project Manager jobs near you
Infographic showing various Data Project Manager job openings in Snowflake, AZ as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $102,151 per year, or $49.1 per hour.

Sr. Data Engineer (Snowflake)

Data Ideology, LLC

Snowflake, AZ • On-site

$100 - $140/hr

Other

Medical, Dental, Vision, Retirement

Posted yesterday

New

Job description

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious.

For more information about Data Ideology, visit www.dataideology.com.

Sr. Data Engineer - (Snowflake)

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client‑facing, consultative role that blends solution design with hands‑on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake.

This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high‑quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership.

Responsibilities
  • Design and build scalable, secure, and cost‑effective data solutions in Snowflake.
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud‑native services.
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
  • Contribute to internal accelerators, frameworks, and proofs of concept.
  • Mentor junior engineers and support knowledge sharing across the team.

Supervisory Responsibilities: None

Qualifications

Education and Experience:

  • 7+ years of experience in data engineering, data warehousing, or data architecture.
  • 3+ years of hands‑on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
  • Strong SQL and Python skills, with production experience using dbt.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
  • Prior experience in a consulting or client‑facing delivery role.
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
  • Preferred - SnowPro Certification
Work Environment
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.
Benefits
  • Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.

Data Ideology is an EEO Employer

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