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Data Analytics Architect Jobs (NOW HIRING)

Kintegra Health

Lead Analytics Architect

Gastonia, NC · On-site

Director of Data & Analytics Direct Reports: Health Information Technologists and Health Data Analysts Summary of Position The Lead Analytics Architect is responsible for leading the design ...

EvergreenHealth

Analytics Architect

Kirkland, WA · On-site

$145K - $233K/yr

We're seeking an experienced Analytics Architect to help advance enterprise data strategy across ... Ensures data accuracy by utilizing strong technical acumen and diagnostic logic to support ...

Evergreen Health

Analytics Architect

Kirkland, WA · On-site

$145K - $233K/yr

We're seeking an experienced Analytics Architect to help advance enterprise data strategy across ... Ensures data accuracy by utilizing strong technical acumen and diagnostic logic to support ...

EvergreenHealth

Analytics Architect

Kirkland, WA

$145K - $233K/yr

We're seeking an experienced Analytics Architect to help advance enterprise data strategy across ... Ensures data accuracy by utilizing strong technical acumen and diagnostic logic to support ...

EvergreenHealth

Analytics Architect

Kirkland, WA

We're seeking an experienced Analytics Architect to help advance enterprise data strategy across ... Ensures data accuracy by utilizing strong technical acumen and diagnostic logic to support ...

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$153K

$178.7K

$202K

How much do data analytics architect jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data analytics architect in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

What are the typical career advancement opportunities for a Data Analytics Architect?

Data Analytics Architects often find excellent career growth opportunities within organizations, as their expertise in designing data frameworks is highly valued. With experience, many progress to senior or principal architect roles, chief data officer positions, or transition into broader leadership roles in data engineering or analytics strategy. Continuous learning and staying updated with emerging technologies, such as machine learning platforms and cloud-based analytics, also open doors to specialized roles. Working in this position exposes professionals to both technical challenges and business strategy, setting a strong foundation for advancement.

What are the key skills and qualifications needed to thrive in the Data Analytics Architect position, and why are they important?

A Data Analytics Architect requires strong expertise in data modeling, analytics platforms, and database management, often backed by a degree in computer science, information systems, or a related field. Familiarity with tools like SQL, Python, Spark, and cloud services (AWS, Azure, Google Cloud), along with certifications such as AWS Certified Data Analytics or Google Professional Data Engineer, is highly beneficial. Excellent problem-solving skills, communication abilities, and the capacity to collaborate across multidisciplinary teams distinguish top performers. These competencies are vital for designing effective analytics solutions, ensuring data integrity, and translating business needs into actionable data strategies.

What is a Data Analytics Architect job?

A Data Analytics Architect designs and implements data infrastructure, ensuring efficient data processing, storage, and analysis to support business intelligence and decision-making. They work with data engineers, analysts, and stakeholders to create scalable data solutions and optimize system performance. Their role involves selecting technologies, defining data models, and ensuring data security and governance.

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DATA Analytics Architect jobs near you
Infographic showing various Data Analytics Architect job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.
Data analytics architect - Hadoop ecosystem

Data analytics architect - Hadoop ecosystem

Samsung SDSA

San Jose, CA • On-site

Full-time

Posted 4 days ago

Samsung SDS America rating

6.8

Company rating: 6.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

132nd of 204 rated it services

Job description

Company Description
Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success
At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology.
In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded.
Job Description
We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment.
Qualifications
Responsibilities:
• Collaborate with business analysts and data scientists in eliciting and articulating solution requirements; • Design scalable data analytics platform and solutions;
• Make architectural decisions for the data analytics platform and solutions;
• Assess, benchmark and select data analytics technologies to be added to the big data platform;
• Support development lead in determining architecturally significant requirements for data analytics solutions;
• Design big data platform API;
• Provide guidance and mentor developers in the data analytics team;
Skills:
Required
• In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper);
• Experience with Business Intelligence frameworks and ETL tools;
• Proficiency in the Java programming language;
• Proficiency in the Unified Modeling Language;
• Experience with RDBMS and SQL;
• Experience architecting systems following the REST architectural style;
• Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit);
• Practical experience with the Scala programming language (desirable);
• Practical experience with the Play web framework (desirable);
• High-level knowledge on the Spark eco-system;
• B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required
Additional Information
Tanya Danylevska
HR, part of Talent acqusition team
Samsung SDSA
tetiana.d@partner.samsung.com

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