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Central Data Services Jobs (NOW HIRING)

With the Data Product Manager, support alignment between central Data Services and distributed Operating Company / Sonepar Management Group analysts, reducing fragmentation and duplicated effort.

With the Data Product Manager, support alignment between central Data Services and distributed Operating Company / Sonepar Management Group analysts, reducing fragmentation and duplicated effort.

Senior Software Engineer, Data Platform

San Francisco, CA · On-site +1

$144K - $190K/yr

... services. If you want to do the most meaningful work of your career, help our customers and ... Join Crusoe Energy as a Senior Data Engineer, an early and pivotal hire on our growing central Data ...

Senior Software Engineer, Data Platform

Sunnyvale, CA · On-site

$143K - $189K/yr

... services. If you want to do the most meaningful work of your career, help our customers and ... Join Crusoe Energy as a Senior Data Engineer, an early and pivotal hire on our growing central Data ...

Senior Software Engineer, Data Platform

Sunnyvale, CA · On-site +1

$145K - $192K/yr

... services. If you want to do the most meaningful work of your career, help our customers and ... Join Crusoe Energy as a Senior Data Engineer, an early and pivotal hire on our growing central Data ...

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$192K

How much do central data services jobs pay per year?

As of Jun 11, 2026, the average yearly pay for central data services in the United States is $88,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $126,500.00 per year, depending on experience, location, and employer.

What is the difference between Central Data Services vs Data Analysts?

AspectCentral Data ServicesData Analysts
CredentialsTypically requires a degree in data management, information systems, or related fieldsUsually requires a degree in statistics, mathematics, or related fields
Work EnvironmentOften part of IT or data management teams, working across departmentsPrimarily in business units, focusing on data interpretation and reporting
Employer & Industry UsageCommon in large organizations with dedicated data infrastructureWidely used across industries for business insights

Central Data Services focus on managing, maintaining, and supporting data infrastructure across an organization, while Data Analysts interpret data to provide insights. Both roles require data-related skills but serve different functions within the data ecosystem.

What profession makes $400,000 a year?

In the field of data services, senior roles such as Chief Data Officer or Data Science Director can earn $400,000 or more annually, especially with extensive experience, advanced skills in analytics and data management, and working in large organizations or industries like finance or technology.

What are some common challenges faced by professionals in Central Data Services, and how can they be effectively addressed?

Professionals in Central Data Services often encounter challenges related to managing large volumes of data from multiple sources, ensuring data quality and consistency, and meeting the needs of various stakeholders across departments. Effective communication, robust data governance frameworks, and leveraging automation tools can help address these issues. Regular collaboration with IT, business analysts, and data stewards is also crucial to streamline workflows and ensure data integrity. Staying updated with industry best practices and ongoing training supports both individual growth and overall team performance.

What kind of jobs does a data center offer?

A data center offers a variety of jobs including data center technician, network administrator, systems engineer, security analyst, and facilities manager. These roles typically require technical skills, knowledge of hardware and software, and certifications such as CompTIA or Cisco, with work often involving monitoring, maintenance, and security of data infrastructure.

What jobs pay $2000 a day?

In the field of Central Data Services, high-paying roles such as data consultants, senior data engineers, or specialized data architects can earn around $2,000 per day, especially with extensive experience, advanced certifications, and in-demand technical skills. These positions often require strong expertise in data management, cloud platforms, and analytics tools, and may involve consulting or contract work with flexible schedules.

What are the key skills and qualifications needed to thrive as a Central Data Services professional, and why are they important?

To succeed in Central Data Services, you need strong analytical skills, a solid understanding of data management principles, and typically a degree in computer science, information systems, or a related field. Proficiency with database management systems (such as SQL Server, Oracle, or MySQL), data integration tools, and possibly data governance certifications is essential. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for ensuring data accuracy and collaboration with cross-functional teams. These skills are crucial for maintaining data integrity, supporting business intelligence, and enabling informed decision-making across the organization.

What are Central Data Services?

Central Data Services refers to a centralized team or department within an organization responsible for managing, maintaining, and providing access to data across various business units. Their primary role is to ensure data consistency, integrity, and security while supporting analytics, reporting, and compliance needs. They often handle data warehousing, data governance, data integration, and may offer data-related support and services to different teams. By centralizing data management, organizations can streamline operations, reduce duplication, and make more informed decisions based on reliable information.

What job makes $10,000 a month without a degree?

Central Data Services roles such as data analysts or database administrators can potentially earn $10,000 or more per month with relevant skills and experience, often without requiring a traditional degree. Success in these jobs depends on proficiency with data management tools, programming languages like SQL or Python, and industry certifications, along with experience in data-driven environments.
More about Central Data Services jobs
What cities are hiring for Central Data Services jobs? Cities with the most Central Data Services job openings:
Infographic showing various Central Data Services job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Part Time. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $88,517 per year, or $42.6 per hour.

Data Solution Architect (Financial Services) - Only W2

Saransh Inc

New York, NY • On-site

Contractor

Posted 6 days ago


Job description

Role: Data Solution Architect (Financial Services)
Location: New York, NY (Onsite from Day 1)
Job Type: W2 Contract
 
Visa Independent candidates are highly preferred
 
Key skills: Data Architecture, Graph DB, AI & ML Engineering, Apache Airflow, Snowflake, RAG
 
 
Responsibilities:
  • Responsible for identifying and integrating structured, unstructured, and semi-structured data sources.
  • This person will design role-based access control (RBAC) and develop logical data models, ensuring compliance and data lineage.
  • This role involves documenting business transformations, establishing data quality approaches and rules, create a comprehensive data catalog.
  • This architect registers data assets with metadata, focusing on sensitivity and security.
  • This role designs the architectural blueprint for the Data Factory, encompassing acquisition, preparation, and consumption, ensuring robust data management and quality to support automated investment processes and AI-driven analytics.
  • This person will be responsible for designing and implementing agents and agentic harness and reasoning harness.
  • Graph RAG and Graph Data Layer
  • Design and implement a Neo4j-powered Knowledge Graph as the central data layer for investment intelligence.
  • Ensure investment decision traceability by linking research, strategies, and portfolio actions into a lineage graph.
  • Architect adaptive schema evolution using AI-driven feedback loops and genetic algorithm principles.
  • Incorporate GraphRAG for transforming unstructured documents into queryable graph entities with source attribution.
Requirements:
  • Snowflake
  • Airflow
  • Deep knowledge on Graph RAG and Graphs DS
  • Data Architecture
  • Experience working with various Market data sources
  • Had experience in integrating with heavy AI driven and assisted architecture.
  • Nice to have: AWS skills
  • Can teach and share knowledge with Consulting and Client team on Cypher, Graph and RAG traversals.