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Remote Data Architect Jobs in Arkansas (NOW HIRING)

Dallas, TX ( REMOTE role) Company Overview: Blue Yonder is a global leader in digital supply chain ... IoT and Edge Computing for real-time data collection and analysis. * Modern software development ...

Architect multi-year expansion strategies and build deep relationships across IT, product, and ... Background in AI/ML platforms, digital transformation, enterprise data platforms, or management ...

Director of Compensation

AR · Remote

$140K - $160K/yr

... architecture, market pricing, and compensation analytics, along with the leadership presence to ... This role is remote (candidates residing in Arkansas will be given priority consideration due to in ...

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How much do remote data architect jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote data architect in Arkansas is $57.87, according to ZipRecruiter salary data. Most workers in this role earn between $50.67 and $65.19 per hour, depending on experience, location, and employer.

What is a remote data architect?

A Remote Data Architect is a professional who designs, builds, and manages data systems and structures for organizations, but works from a remote location rather than onsite. They are responsible for creating data models, defining database architecture, and ensuring data integrity, security, and scalability. Remote Data Architects collaborate with stakeholders and technical teams via digital communication tools to align data strategies with business needs. Their role is critical in supporting data-driven decision-making and enabling efficient data flow across distributed systems.

What are remote jobs for a data architect?

As a remote data architect, you help develop, implement, and perform maintenance on a data management system. Your duties involve designing a plan to organize and protect information, reviewing data sources, ensuring accuracy and accessibility, troubleshooting system issues, and updating programs. A remote data architect may also provide support, communicating with clients via email, phone calls, or video conferencing. This is a telecommute position.

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

To thrive as a Remote Data Architect, you need expertise in data modeling, database design, and cloud architecture, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, NoSQL databases, ETL platforms, and cloud services (such as AWS, Azure, or Google Cloud) is essential, and certifications like AWS Certified Solutions Architect are often valued. Strong analytical skills, effective communication, and the ability to collaborate across distributed teams help you stand out in this role. These skills and qualities ensure robust, scalable data solutions that meet business needs in a remote work environment.

How does a remote data architect typically collaborate with cross-functional teams to design and implement data solutions?

As a Remote Data Architect, you will frequently work with various stakeholders, including data engineers, business analysts, and IT managers, often through virtual meetings and collaborative tools. Effective communication is essential to gather requirements, align on data strategy, and ensure that data models support both technical and business needs. You may also conduct code reviews, provide architectural guidance, and help troubleshoot issues. Building strong relationships and maintaining clear documentation are key to successful remote collaboration and project delivery.

What is the difference between Remote Data Architect vs Remote Data Engineer?

AspectRemote Data ArchitectRemote Data Engineer
Required CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data tools
Work EnvironmentDesigns data systems, collaborates with stakeholders, oversees architectureBuilds, tests, and maintains data pipelines and infrastructure
Employer & Industry UsageUsed in organizations with complex data needs, analytics, and BICommon in tech, finance, healthcare, and e-commerce sectors

The Remote Data Architect focuses on designing and planning data systems, ensuring they meet organizational needs. In contrast, the Remote Data Engineer implements and maintains these systems by building data pipelines and infrastructure. Both roles require similar credentials and often work within the same industries, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Data Architect jobs in Arkansas?

The most popular types of Data Architect jobs in Arkansas are:

What are popular job titles related to Remote Data Architect jobs in Arkansas?

For Remote Data Architect jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Remote Data Architect jobs in Arkansas look for?

The top searched job categories for Remote Data Architect jobs in Arkansas are:

What cities in Arkansas are hiring for Remote Data Architect jobs?

Cities in Arkansas with the most Remote Data Architect job openings:

Infographic showing various Remote Data Architect job openings in Arkansas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,361 per year, or $57.9 per hour.

Sr. Data Architect, AI & Analytics Platforms

Avery Dennison

Little Rock, AR • Remote

$60.50 - $80.75/hr

Full-time

Medical, Retirement, PTO

Posted 19 days ago


Avery Dennison rating

8.9

Company rating: 8.9 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

7th of 122 rated packaging manufacturers


Job description

Company Description

Why join Avery Dennison:

We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe that diverse teams are stronger teams. We are committed to fostering a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA. Founded on creating real-world impact to enable a better future, we strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at www.averydennison.com. 

Vestcom is the industry leader in technology-driven shelf-edge solutions for Retailers and CPGs. Our data-integrated media solutions drive sales and loyalty, engaging shoppers at the point of decision. For our growing team of over 1,000 employees, Vestcom offers the stability of an established company with the entrepreneurial spirit and fast-paced environment of a high-growth technology innovator.

Vestcom is a standalone business unit of Avery Dennison, a Fortune 500 leader in materials science and packaging materials.

Benefits:

At Avery Dennison, some of the great benefits we provide are:

  • Inclusive Care: Access to our large network of medical and behavioral health professionals.

  • 401(k) Savings Plan: Avery Dennison supports your retirement readiness financially through company contributions to the 401(k) Plan. We encourage you to save as much as possible to meet your goals. You receive an automatic contribution of 3% of eligible pay (even if you contribute $0) plus a matching contribution of 50% on the first 7% of eligible pay you contribute.

  • Healthcare Coverage: Avery Dennison offers healthcare and insurance options to support you and your family based on your personal needs.

  • Paid Time Off: We offer a generous vacation program that varies based upon your experience and position within Avery Dennison.

Job Description

The Sr. Data Architect - AI & Analytics Platforms is a high-impact, hands-on technical role within the Data Strategy & Insights (DSI) organization. In this role, the Sr. Data Architect - AI & Analytics Platforms will architect, build, and scale DSI's next-generation decision intelligence engines, bridging the gap between complex engineering pipelines and actionable business intelligence. Working directly with data engineering teams, this role turns business logic, predictive analytics, and AI models into robust, automated data platforms. Rather than building standard reports, the Sr. Data Architect - AI & Analytics Platforms builds foundational platform architectures, automated pipelines, and AI enablement layers that empower CPG clients and internal teams to directly access advanced insights, optimize campaign spend, and measure incremental performance at scale.

Key Responsibilities:

This is a remote position unless employee sits within a 40 mile radius of a Vestcom location then they will go onsite 2x a week. 

  • Platform Architecture & AI Enablement: Architect and implement scalable, cloud-native analytics platforms (Databricks, Snowflake) that enable direct self-service access to insights, predictive models, and GenAI-assisted analytics tools.

  • Engineering Collaboration & Technical Mentorship: Act as the hands-on bridge between business strategy and engineering teams, partnering closely with senior and junior data engineers to translate complex business rules into modular SQL/Python code, data models, and scalable platform services.

  • Decision Engine Development & Automation: Design, evolve, and automate measurement engines and algorithms that compute campaign performance (e.g., iROAS, Test vs. Control) against massive retail transaction datasets.

  • Multi-Source Data Integration: Author integration pipelines and data models that unify multi-retailer point-of-sale (POS) data, third-party syndicated datasets, and internal platform metrics into an integrated Analytics Data Warehouse.

  • Analytics Productization & Stack Optimization: Transform exploratory analytical models into production-ready analytical tools (e.g., Category Buyer Dynamics, predictive audience targeting) while continuously optimizing the cloud data warehousing and decision intelligence ecosystem.

Qualifications

Qualifications:

  • Education & Senior Experience: Bachelor's or Master's degree in Computer Science, Data Engineering, Business Analytics, Data Science, or related quantitative field, with 8+ years of progressive experience in data engineering, platform development, or analytics architecture (including 3+ years operating at a senior technical level).

  • Domain & Industry Knowledge: Strong background in CPG/Retail analytics, point-of-sale (POS) transactional data, campaign measurement methodologies (Test vs. Control), and strong knowledge and experience with digital in the Retail Media Network (RMN) space (in-store digital media, DOOH, ESL, etc.).

  • Platform & Technical Depth: Proven hands-on experience architecting and deploying analytics solutions on Databricks or Snowflake environments, with advanced proficiency in SQL, Python, database design, star/snowflake schema data modeling, ETL/ELT pipeline design, and API integration.

  • AI & Production Coding: Strong familiarity and experience incorporating machine learning models, predictive algorithms, and AI tools into operational analytics workflows, with a demonstrated ability to write production code alongside data engineers.

  • Leadership & Communication: Exceptional organizational, communication, and problem-solving skills, with a proven ability to lead technical execution across cross-functional teams and effectively communicate platform capabilities to non-technical business stakeholders.

Additional Information

The salary range for this position is $119,000 - $178,000 / year. The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate's relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

Equal Opportunity Employer:

Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status.

Reasonable Accommodations Notice:

If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or [email protected] to discuss reasonable accommodations.

Identity Verification Notice:

To maintain the integrity of our hiring process and protect our candidates from identity fraud, we require video and/or in-person interviews. As part of this verification, we may also ask you to take a brief photo. This image is used exclusively to ensure identity consistency and will be permanently deleted once the hiring process concludes.

Pre-employment Screening Notice:

As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws.


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