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Remote Snowflake Jobs in Arizona (NOW HIRING)

Insight

Define future-state data & AI architectures leveraging cloud data platforms (e.g., Snowflake, Azure Synapse/Fabric, AWS Redshift/Lakehouse, Databricks) and modern analytics/AI tools. * Recommend ...

Paychex

Data Solutions Engineer

Tempe, AZ · On-site +1

$91K - $156K/yr

Snowflake SnowPro - Preferred Compensation In the spirit of pay transparency, we are excited to share that the base pay range for this position is $91,526 - 156,500 per year . Please keep in mind ...

Carrington

Senior, Data Engineer

Chandler, AZ · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Fabric, Snowflake, or Databricks) to lead and optimize data integration and transformation ...

ABB

Sales Operations Specialist

Phoenix, AZ · Remote

The work model for the role is : #LI-Remote on the Eastern/Central US with occasional travel to ... Advanced skills with BI tools (Power BI, Snowflake), Excel, SAP, and Salesforce CRM. * Experience ...

Virtuous Software

Data Migration Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

While this role is open to remote candidates within the US, we're initially prioritizing candidates ... Experience with Snowflake is a plus * Experience with GitHub is a plus * Experience with API ...

Virtuous

Data Migration Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

While this role is open to remote candidates within the US, we're initially prioritizing candidates ... Experience with Snowflake is a plus * Experience with GitHub is a plus * Experience with API ...

USAA

Mid-Level Business Strategy Analyst

Phoenix, AZ · On-site +1

$85K - $162K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics). * Experience in project ...

Arizona Department of Administration

$75K/yr

REMOTE OPTIONS, PHOENIX Categories: Information Technology/Services DEPARTMENT OF REVENUE Funding Arizona's future through excellence in innovation, exceptional customer service and public servant ...

Banner Health

Supply Chain Data Engineer

Phoenix, AZ · On-site +1

$108K - $130K/yr

Remote, Banner provides equipment Schedule: Monday-Friday 8am-5pm ​This can be a remote position if you live in the following state(s) only: AZ, CA, NV, CO, NB & WY. Within Banner Health Corporate ...

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As of Jun 13, 2026, the average hourly pay for remote snowflake in Arizona is $63.00, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $71.44 per hour, depending on experience, location, and employer.

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To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What is a Remote Snowflake job?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

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Senior Solutions Principal - Data & AI

Senior Solutions Principal - Data & AI

Insight

On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago

Insight Enterprises rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

26th of 204 rated it services

Job description

Requisition Number: 104529
Sr. Solution Principal - Data & AI
Now is the time to expand your knowledge and drive business solutions with Insight. We are not just a tech company; we are a people-first company. We believe that by unlocking the power of people and technology, we can accelerate transformation and achieve extraordinary results. As a Fortune 500 Solutions Integrator with deep expertise in Digital Enablement, Cloud, Data, AI, Innovative Apps, Cybersecurity, and Intelligent Edge, we guide organizations through their complex digital journey.
About the role
As a Sr. Solution Principal - Data & AI, you will be a key presales leader responsible for shaping and selling Data & AI professional services. You will consult with clients, assess their current data and analytics landscape, recommend pragmatic improvement roadmaps, and translate these into clearly scoped professional services Statements of Work (SOWs).
You will need a balance of:
  • Strategic presales acumen
  • Deep data platform & analytics architecture expertise
  • Business consulting skills
  • Strong SOW and deal-structuring experience

You will partner closely with account teams, solution architects, and delivery leaders to design data-driven solutions that achieve measurable client outcomes.
In this role, you will:
Client consulting & discovery
  • Align into top accounts to build relationships with senior IT and business stakeholders (CIO, CDO, Head of Analytics, Line-of-Business leaders).
  • Lead data & AI discovery workshops to understand current-state data platforms, analytics capabilities, governance maturity, and AI readiness.
  • Perform high-level assessments of client data estates (e.g., data sources, ingestion patterns, data models, BI tools, data science capabilities) and identify key pain points and opportunities.
  • Translate business objectives into data and analytics use cases and prioritized roadmaps (e.g., modern data platform, self-service BI, data governance, ML/GenAI pilot programs).

Solution architecture & recommendations
  • Define future-state data & AI architectures leveraging cloud data platforms (e.g., Snowflake, Azure Synapse/Fabric, AWS Redshift/Lakehouse, Databricks) and modern analytics/AI tools.
  • Recommend patterns for data ingestion, storage, modeling, governance, and consumption that fit the client's technology strategy (e.g., lakehouse architectures, semantic models, MDS/MDM, real-time pipelines).
  • Craft clear, outcome-focused solution narratives that connect architecture choices to business value (e.g., faster time-to-insight, reduced manual reporting, trusted metrics, AI-enabled decisioning).
  • Collaborate with technical SMEs (data engineers, data scientists, cloud architects) to validate solution feasibility, sizing, and delivery approach.

SOW creation & deal structuring
  • Lead the creation of professional services proposals and SOWs for Data & AI projects (assessments, platform implementations, migrations, governance, BI modernization, AI/ML engagements).
  • Define scope, deliverables, assumptions, and client responsibilities with enough detail to enable predictable delivery.
  • Design deal structures that meet internal margin targets, align with preferred delivery models (e.g., fixed-fee, T&M, multi-phase roadmaps), and match client expectations and risk tolerance.
  • Work with resource management and delivery leaders to develop realistic staffing and ramp plans based on skills, availability, and project timelines.
  • Ensure SOWs adhere to Insight's standards, legal/commercial guidelines, and risk controls.

Sales collaboration & pipeline support
  • Engage with sellers to refine understanding of client needs during the qualification process and shape win strategies for Data & AI opportunities.
  • Support account teams in early-stage opportunity shaping, including ideation of Data & AI engagements (assessments, PoCs, pilots, multi-phase programs).
  • Represent client needs across all Insight capabilities, with a focus on expanding Data & AI deal size and attaching services to data platform/software investments.
  • Support sellers in executive presentations, proposal walkthroughs, and orals, clearly articulating our Data & AI value proposition and differentiation.
  • Participate in internal deal reviews with Insight leadership, presenting solution approach, delivery risks, and financials.

Partner engagement & offerings
  • Develop strong working relationships with strategic Data & AI partners (e.g., Microsoft, AWS, Snowflake, Databricks, key ISVs) and incorporate their capabilities into client solutions.
  • Assist sellers in leveraging partner incentives and funding (POCs, pilots, workshops, assessments) to accelerate Data & AI opportunities.
  • Provide feedback into Insight's Data & AI offerings and accelerators based on client demand and field experience.

Governance, quality & reporting
  • Own solutions for assigned opportunities end-to-end, ensuring consistency between presales design and delivery handoff.
  • Actively track Data & AI opportunities being worked, providing leadership with regular reporting on pipeline, revenue, and gross profit.
  • Contribute to continuous improvement of presales artifacts (templates, reference architectures, SOW standards, estimators).

What we're looking for
Experience
  • Minimum of 10 years of experience in data-focused roles such as Data Architect, Analytics Architect, Data Engineering Lead, or similar, including client-facing responsibilities.
  • Demonstrated presales or sales engineering experience for Data & AI professional services, including discovery, solution shaping, and SOW creation.
  • Proven track record designing and/or implementing modern data platforms on Microsoft and/or AWS (e.g., Azure Data Lake/Synapse/Fabric, AWS S3/Glue/Redshift, Snowflake, Databricks).
  • Experience with enterprise BI and analytics (e.g., Power BI, Tableau, Looker) and understanding of how data models support reporting and self-service analytics.
  • Exposure to AI/ML and/or GenAI use cases (even at a conceptual level): understanding what is required from data to enable ML/AI, and how to position AI services responsibly.

Core skills
  • Strong understanding of data architecture concepts:
    • Data lakes, lakehouse, and EDW patterns
    • Batch and streaming data ingestion
    • Dimensional and semantic modeling
    • Data quality, lineage, and metadata management
    • Data governance, security, and privacy
  • Ability to assess a client's data maturity and propose pragmatic, phased roadmaps (assessment → foundation → use-case enablement → scale & optimize).
  • Strong understanding of clients' IT and business decision-making process, especially for data platform and analytics investments.
  • Demonstrated ability to solution across multiple business units and offerings, integrating Cloud, Data, AI, Apps, and Managed Services where appropriate.
  • Financial acumen: understanding of pricing, deal economics, business case development, and ROI in the context of Data & AI projects.
  • Excellent communication skills:
    • Ability to present complex data and AI concepts in business-friendly language to executives
    • Ability to go deep technically with architects, engineers, and data scientists
    • Strong written skills for proposal and SOW development

Desirable
  • Experience with consultative frameworks for Data & AI (e.g., data strategy assessments, operating model design, AI readiness assessments).
  • Familiarity with tools such as dbt, Fivetran/Matillion/AWS Glue, Apache Spark, and ML platforms (Azure ML, SageMaker, Databricks ML, or similar).
  • Industry-specific data experience (e.g., financial services, healthcare, manufacturing, retail) is a plus.

Soft skills
  • Executive presence with the ability to earn trust quickly in C-level conversations.
  • Strong facilitation skills for workshops and multi-stakeholder sessions.
  • Root cause analysis, structured problem solving, and the ability to simplify complexity.
  • Collaborative working style with sales, delivery, and partner teams.
  • Comfort with ambiguity and the ability to structure opportunities and deals from early concept to well-defined scope.

What you can expect
We're legendary for taking care of you, your family, and helping you engage with your local community. We want you to enjoy a full, meaningful life and own your career at Insight. Some of our benefits include:
  • Full medical, dental, and vision benefits
  • Bonus incentives
  • Company 401(k) match
  • Freedom to work from another location-even an international destination-for up to 30 consecutive calendar days per year

But what really sets us apart are our core values of Hunger, Heart, and Harmony, which guide everything we do, from building relationships with teammates, partners, and clients to making a positive impact in our communities. Join us today-your ambITious journey starts here.
The position described above provides a summary of some the job duties required and what it would be like to work at Insight. For a comprehensive list of physical demands and work environment for this position, click here.
Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
Posting Notes: Chandler || Arizona (US-AZ) || United States (US) || IT Infrastructure & Support || None || US - Chandler,AZ ||

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