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Executive Data Analytics Architect Jobs (NOW HIRING)

Develop and operationalize analytics products including executive dashboards, strategic metrics ... Experience collaborating closely with data engineering, platform, and architecture teams to ensure ...

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 ...

Data / BI Analytics Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Data Analytics Solutions Architect NYC, NY (Hybrid/Onsite) | Long-Term Contract Seeking a Data Analytics Solutions Architect with strong expertise in Power BI, Data Modeling, ETL/ELT, Data ...

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How much do executive data analytics architect jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for executive data analytics architect in the United States is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $78.85 per hour, depending on experience, location, and employer.

What is an Executive Data Analytics Architect?

An Executive Data Analytics Architect is a senior professional responsible for designing and overseeing the data analytics strategy within an organization. They typically have expertise in data modeling, architecture, and tools like SQL, Hadoop, or cloud platforms, and work closely with executive teams to align data initiatives with business goals.
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What cities are hiring for Executive Data Analytics Architect jobs? Cities with the most Executive Data Analytics Architect job openings:
What are the most commonly searched types of Data Analytics Architect jobs? The most popular types of Data Analytics Architect jobs are:
What states have the most Executive Data Analytics Architect jobs? States with the most job openings for Executive Data Analytics Architect jobs include:
Infographic showing various Executive Data Analytics Architect job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,556 per year, or $70 per hour.

Data analytics architect - Hadoop ecosystem

Samsung SDSA

San Jose, CA • On-site

Full-time

Re-posted 28 days ago


Samsung SDS America rating

7.1

Company rating: 7.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

147th of 223 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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