2

Remote Data Architect Jobs in Alaska (NOW HIRING)

Data Engineer AI

Minto, AK · On-site +1

$118K - $142K/yr

... hands-on architect of the data supply chain for our most advanced initiatives. You will be ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

next page

Showing results 1-20

Remote Data Architect information

See Alaska salary details

$11

$75

$101

How much do remote data architect jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for remote data architect in Alaska is $75.36, according to ZipRecruiter salary data. Most workers in this role earn between $66.01 and $84.90 per hour, depending on experience, location, and employer.

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.

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 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.

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 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 most commonly searched types of Data Architect jobs in Alaska? The most popular types of Data Architect jobs in Alaska are:
What job categories do people searching Remote Data Architect jobs in Alaska look for? The top searched job categories for Remote Data Architect jobs in Alaska are:
Infographic showing various Remote Data Architect job openings in Alaska as of July 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $156,756 per year, or $75.4 per hour.
Data Engineer AI

Data Engineer AI

Sedgwick

Minto, AK • On-site, Remote

$118K - $142K/yr

Other

Posted 16 days ago


Sedgwick rating

7.6

Company rating: 7.6 out of 10

Based on 319 frontline employees who took The Breakroom Quiz

205th of 299 rated insurance


Job description

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies

Certified as a Great Place to Work

Fortune Best Workplaces in Financial Services & Insurance

Data Engineer AI

Role Overview

As a Senior Data Engineer within the Transformation Office, you are the hands-on architect of the data supply chain for our most advanced initiatives. You will be responsible for the "heavy lifting" required to fuel Data Science models and AI applications with high-fidelity data. Your mission is to build the pipelines that bridge our legacy on-prem systems (Mainframes, SQL Server, DB2) with our modern Snowflake environment and AWS/Azure AI stacks. You are a "day-one" builder who ensures that data is not just moved, but engineered for the specific requirements of model training, feature stores, and RAG-based AI systems.

Key Responsibilities

Hybrid Data Pipeline Execution: Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services.

Engineering for Data Science: Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring Data Scientists have immediate access to clean, versioned, and statistically valid data.

Engineering for AI (RAG & LLMs): Develop the data pipelines required for Generative AI, including the automated extraction, chunking, and loading of unstructured data into vector stores across AWS and Azure.

Snowflake Power-User Execution: Act as the technical lead for our Snowflake data warehouse, implementing sophisticated data modeling, Snowpipe automation, and compute optimization to support high-concurrency AI workloads.

Legacy "Back-Reach" Engineering: Execute non-invasive data extraction patterns to unlock mission-critical data from decades-old on-premise systems without disrupting core business operations.

Multi-Cloud Orchestration: Manage complex, cross-platform data workflows using Airflow, Step Functions, or Azure Data Factory, ensuring the synchronization of data across our multi-cloud AI posture.

IT & Security Diplomacy: Partner directly with central IT, Database Administrators, and Security teams to solve connectivity hurdles (PrivateLink, IAM, firewalls) and secure "license to operate" for new data flows.

Data Quality for Model Integrity: Implement automated validation and observability layers to detect data drift and quality issues that could compromise the accuracy of production AI and Data Science models.

Cost & Performance Management: Drive the efficiency of our data stack by optimizing storage and query performance in Snowflake, AWS, and Azure to manage the ROI of the Transformation Office.

Direct Stakeholder Collaboration: Work as a dedicated engineering partner to MLOps and Data Science teams to rapidly iterate on data requirements for evolving AI use cases.

Qualifications

Education: Bachelor's degree in Computer Science, Data Engineering, or a related field is required. A Master's degree is highly desirable.

Proven Execution: 6+ years of hands-on data engineering experience, with a track record of building production-grade pipelines for Data Science and AI in multi-cloud environments.

Snowflake Mastery: Expert-level proficiency in Snowflake architecture, including data sharing, performance tuning, and the integration of Snowflake with external cloud AI services.

Multi-Cloud Proficiency: Advanced, hands-on knowledge of AWS (S3, Glue, Lambda) and Azure (Data Factory, Synapse) data services.

Technical Stack: Mastery of Python, SQL, and PySpark. Deep experience with data orchestration and containerization (Docker).

Legacy Expertise: Proven ability to interface with "old world" tech (on-premise SQL, Mainframe extracts, flat files) and transform it for modern cloud consumption.

AI/DS Fluency: A strong understanding of the specific data needs for Machine Learning (feature engineering) and Generative AI (vectorization and embedding pipelines).

Execution Mindset: A "get-it-done" attitude, capable of navigating enterprise bureaucracy and technical debt to ship code at the speed required by a Transformation Office.

#LI-TS1 #remote

Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace.

If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.

What Sedgwick employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom