ZipRecruiter

Log In

2

Entry Level Data Analytics Architect Jobs (NOW HIRING)

Halo Group

Data Analytics Architect

Deerfield, IL · On-site

Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data ...

Intraedge

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 ...

CCS Global Tech

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant CCS Global Tech is a Microsoft Solutions Partner and technology ... Data Analyst * Business Analyst * BI Developer * SQL Developer * Data Engineer * Data Integration ...

Addepar

Portfolio Analytics Architect

Salt Lake City, UT · On-site

$103K - $129K/yr

The Role A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end with clients for data conversion projects. The ideal candidate will have a strong ...

next page

Showing results 1-20

All JobsData Analytics Architect JobsEntry Level Data Analytics Architect Jobs

Entry Level Data Analytics Architect information

See salary details

$10

$69

$94

How much do entry level data analytics architect jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for entry level 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 are the most commonly searched types of Data Analytics Architect jobs? The most popular types of Data Analytics Architect jobs are:
Entry Level Data Analytics Architect jobs near you
Data Analytics Architect

Data Analytics Architect

Halo Group

Deerfield, IL • On-site

Full-time

Re-posted 15 days ago

Job description

Company Description

Halo Group is a premier provider of IT talent. We place technology experts within the teams of the world's leading companies and help clients build innovative businesses that keep them one step closer to their customers and one step ahead of the competition.

Job Description

Responsible for designing and implementing technical solutions within the Big Data ecosystem. Collaborate with other peers in the team at the design, "hands-on" implementation and maintenance of a broad range of Big data solutions. Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Propose, design, develop and test reusable/reliable data solutions. Effectively communicate with onsite/offsite counterparts as well as with the non-technical user community when required. The role includes intensive hands on data acquisition, transformation and modelling work using not only the full Hadoop stack but also other cutting edge Analytics solutions.
This is a Great Opportunity because -
Participant on team responsible for corporate Big Data platform and Data Engineering solution
Employ a variety of languages and tools to integrate and automate systems
Create and secure reliable data layers using reusable components
Interaction and partnership with teams both in the US and abroad.
Continuous automation and deployment mindset
Perform tuning and operational troubleshooting
Focus on simplicity, continuous automation & deployment, reusability and agility
Outcomes/Success Criteria
Establish development framework to speed up deployment and automation of Big Data solutions.
Successful implementation of project delivery, documentation and facilitate transition to on-site and offsite support teams.
Contribute to protecting data assets by assuring corporate data principles are successfully me

Qualifications

Minimum Requirements:
5-10 years of hands-on data solutions and software engineering experience, including no less than three years with Hadoop.
2-3 years of experience on cloud platforms: preferably Google Cloud Platform and AWS.
Demonstrable technical competency on technical solutions that include: Hive, MongoDB and/or Cassandra, SQL databases, REST APIs/Micro services, Kafka, Python, Zeppelin, Scala, Spark, RedShift and/or BigQuery, ElasticSearch and/or Solr.
1-2 years of UNIX/Linux system administration/advanced user experience
Desired Qualifications:
Development / Scripting experience with languages such as Go, Java and Bash.
Experience in at least two of the following frameworks: Jenkins, Github, Ansible, JIRA
Experience in the retail, distribution and/or manufacturing sector
Data modelling certification, Tableau experience and/or Machine Learning experience is a plus

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply