1

Data Organization Jobs (NOW HIRING)

Should be able to set data and AI strategy for data organization. Established data Quality, lineage and metadata standards Ensured compliance with privacy, security and regulation Drives adoption of ...

Senior Cloud Data & AI Architect

Dallas, TX · On-site

$66.75 - $89.50/hr

Should be able to set data and AI strategy for data organization. * Established data Quality, lineage and metadata standards * Ensured compliance with privacy, security and regulation * Drives ...

About the Role As the Head of Data Enablement at Zekelman Industries, you will lead the transformation of the organization's data capabilities, evolving from traditional data management to treating ...

Purpose The Data Architect Manager will lead and oversee the organization's enterprise data platforms, database operations, and data architecture initiatives to ensure scalable, secure, and reliable ...

Senior Cloud Data & AI Architect

Dallas, TX · On-site

$66.75 - $89.50/hr

... data organization. • Established data Quality, lineage and metadata standards • Ensured compliance with privacy, security and regulation • Drives adoption of responsible AI frameworks • ...

Senior Cloud Data & AI Architect

Dallas, TX · On-site

$66.75 - $89.50/hr

Should be able to set data and AI strategy for data organization. * Established data Quality, lineage and metadata standards * Ensured compliance with privacy, security and regulation * Drives ...

Senior Data Engineer

West Roxbury, MA · On-site

$120K - $140K/yr

Sitting at the foundation of our data organization, this role is responsible for building the reliable, scalable pipelines that move data from our manufacturing systems, ERP platforms, financial ...

Drive adoption of consistent data modeling patterns, naming conventions, and documentation norms across the data organization What you should have * 4+ years of experience in analytics or data ...

Sr. Data Engineer, iCloud

Austin, TX · On-site

$113.50K - $136.30K/yr

... Data organization enables Apple to ship better products for iCloud users to access all their content across apps (Photos, Mail, Messages, FaceTime, Calendar etc) from all of their devices all the ...

AWS Data Engineer (Financial)

Cedar Rapids, IA · On-site

$112.10K - $134.60K/yr

Working knowledge of S3 bucket structures, data organization, lifecycle management, and integration with downstream analytics platforms. * Glue Jobs: To create Data Pipelines with ETL capabilities.

Now we're ready to take the next step: building a world-class internal data organization and making Stord an AI-first data company. This is a greenfield leadership opportunity for someone who wants ...

Now we're ready to take the next step: building a world-class internal data organization and making Stord an AI-first data company. This is a greenfield leadership opportunity for someone who wants ...

Sr. Data Engineer, iCloud

Austin, TX · On-site

$113.50K - $136.30K/yr

... Data organization enables Apple to ship better products for iCloud users to access all their content across apps (Photos, Mail, Messages, FaceTime, Calendar etc) from all of their devices all the ...

Organization : Alignerr * Type : Hourly Contract * Location : Remote * Commitment : 10-40 hours/week What You'll Do * Design, oversee, and optimize data pipelines that integrate genomics, clinical ...

next page

Showing results 1-20

Data Organization information

See salary details

$10

$39

$87

How much do data organization jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for data organization in the United States is $39.62, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $62.02 per hour, depending on experience, location, and employer.

What is a Data Organization job?

A Data Organization job involves structuring, managing, and maintaining data to ensure its accuracy, accessibility, and usability. Professionals in this role work with databases, metadata, and data governance practices to optimize information flow and retrieval. They may also clean, categorize, and integrate data from various sources to support business operations and decision-making. Strong analytical skills, attention to detail, and proficiency with data management tools are essential for success in this role.

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

To thrive in a Data Organization role, you need strong analytical skills, attention to detail, and experience with data management practices, typically supported by a degree in information science, computer science, or a related field. Familiarity with database software such as SQL, data visualization tools, and proficiency in Excel or data management platforms are commonly required, while certifications like Certified Data Management Professional (CDMP) can be advantageous. Excellent organizational, problem-solving, and communication skills help facilitate effective collaboration across teams and ensure data quality. These skills are crucial for maintaining accurate, accessible, and secure data, directly impacting business decision-making and operational efficiency.

What are some typical responsibilities I can expect in a Data Organization position?

In a Data Organization role, you will typically be responsible for structuring, maintaining, and ensuring the accuracy and integrity of large datasets. This often includes tasks such as data cleansing, standardizing formats, updating records, and organizing information to support business analysis or reporting needs. You may also work closely with cross-functional teams, providing data support, troubleshooting data issues, and helping to implement data governance policies. These responsibilities are essential to keep organizational data reliable and easily accessible for those who need it.
What cities are hiring for Data Organization jobs? Cities with the most Data Organization job openings:
What are the most commonly searched types of Data Organization jobs? The most popular types of Data Organization jobs are:
What states have the most Data Organization jobs? States with the most job openings for Data Organization jobs include:
Infographic showing various Data Organization job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 92% Full Time, and 4% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $82,401 per year, or $39.6 per hour.
Cloud Data Architect

$170K - $175K/yr

Other

Posted 13 days ago


Job description

Location: Minneapolis, MN
Salary: $170,000.00 USD Annually - $175,000.00 USD Annually
Description:
Cloud Data Architect
Minneapolis or Dallas
Fulltime
Must Have Technical/Functional Skills
Architect enterprise data platforms for data lake, Lakehouse, streaming systems.
Design data integration and data pipeline patterns
Should be able to evaluate new technologies and run proof of concepts.
Should be able to set data and AI strategy for data organization.
Established data Quality, lineage and metadata standards
Ensured compliance with privacy, security and regulation
Drives adoption of responsible AI frameworks
Created architectural guardrails
Drive consensus on standards (eg data contracts, lineage) across different data organizations
Reviews design and elevate architectural thinking across teams
Creates reusable patterns, templates and reference architectures
Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
Design and implement AI and Gen AI solution for data value chain
Strong experience with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI).
Deep understanding of MCPs, ReAct, Tree of Thought, and AutoGPT-style reasoning.
Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
Experience with A2A orchestration, agent memory strategies, and tool calling.
Strong grasp of enterprise architecture, data governance, and security protocols.
Experience with cloud platforms (Azure, AWS, Google Cloud Platform) and MLOps pipelines.
Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
Hands-on with Python, OpenAI APIs, Anthropic Claude, Vector DBs (FAISS, Pinecone, Weaviate).
Roles & Responsibilities
Lead enterprise data platform modernization from on-prem to cloud for banking and insurance clients.
Architect and implement scalable solutions using Snowflake and Databricks on AWS and Azure
Design and implement AI and Gen AI solution for data value chain
Design data integration pipelines (batch, real-time, big data) and analytics platforms
Define and implement data governance, quality, metadata, and line age frameworks and should be able to leverage GenAI capabilities.
Act as a trusted advisor to senior business and IT stakeholders
Architect Agentic AI ecosystems using LLMs, vector databases, and orchestration frameworks (LangChain, AutoGen, CrewAI).
Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models.
Design Agent-to-Agent (A2A) communication protocols for collaborative multi-agent workflows.
Implement retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage.
Generic Managerial Skills, If any
15-20 years of experience in data architecture, data engineering, and analytics platforms
Strong consulting experience in large BFSI transformation programs
Hands-on expertise with Snowflake and Databricks (Lakehouse architecture)
Design and implement AI and Gen AI solution for data value chain
Very strong understanding and experience on Data products, data mesh and Medallion Architecture implementation
Experience with cloud data services in aws,azure,Google Cloud Platform
Strong background in data integration, reporting, and big data ecosystems
Experience working in regulated environments with data governance and compliance requirements
Excellent stakeholder communication and leadership skills
By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!