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Data Domain Jobs in New York (NOW HIRING)

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Data Domain information

See New York salary details

$25.7K

$125.8K

$176K

How much do data domain jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data domain in New York is $125,767.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,220.00 and $154,151.00 per year, depending on experience, location, and employer.

What is Data Domain?

Data Domain refers to a line of data deduplication storage systems, primarily used for backup and archiving. These systems, originally developed by Data Domain (now part of Dell EMC), help organizations reduce storage costs and improve backup efficiency by eliminating duplicate data. They are widely used in enterprise IT environments to ensure reliable data protection and faster recovery times. Data Domain appliances integrate with various backup software solutions, making them a popular choice for modern data management strategies.

How does a Data Domain specialist typically collaborate with other IT and business teams within an organization?

A Data Domain specialist often works closely with IT infrastructure, security, and business analytics teams to ensure data storage solutions are reliable, secure, and optimized for performance. Collaboration may involve coordinating backup and recovery strategies, troubleshooting data integrity issues, and implementing retention policies to meet compliance requirements. Regular communication with business units helps tailor solutions to organizational needs, ensuring that data is both accessible and protected. This cross-functional teamwork fosters a strong understanding of business priorities and technical constraints.

What are the key skills and qualifications needed to thrive as a Data Domain specialist, and why are they important?

To thrive as a Data Domain Specialist, you need a solid understanding of data management principles, experience with backup and deduplication technologies, and typically a degree in computer science or a related field. Familiarity with EMC Data Domain systems, storage networking, and certifications such as Dell EMC Proven Professional are commonly required. Strong problem-solving skills, attention to detail, and effective communication help professionals excel in troubleshooting and collaborating with IT teams. These skills ensure secure, efficient data storage and backup operations, which are critical for business continuity and data protection.

What is the difference between Data Domain vs Data Analyst?

AspectData DomainData Analyst
Required CredentialsTypically requires certifications in data management, storage, or backup solutions (e.g., EMC Data Domain certifications)Requires degrees in statistics, mathematics, or related fields; often certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentPrimarily in data storage, backup, and disaster recovery environments within IT infrastructure teamsInvolves data analysis, reporting, and visualization across various departments
Employer & Industry UsageUsed mainly in IT and data storage companies, data centers, and enterprise IT departmentsCommon across finance, marketing, healthcare, and technology sectors

While Data Domain specialists focus on data storage solutions and backup systems, Data Analysts interpret data to support business decisions. Both roles require technical skills but serve different functions within organizations.

What does a data domain do?

A data domain in a job context typically refers to a specialized area of data management or analysis, where the professional is responsible for organizing, maintaining, and ensuring the quality of data within that domain. They often work with data governance, data modeling, and tools like SQL or data warehouses to support business decision-making.

What are popular job titles related to Data Domain jobs in New York?

For Data Domain jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Domain jobs in New York look for?

The top searched job categories for Data Domain jobs in New York are:

Data Domain jobs near you
Infographic showing various Data Domain job openings in New York as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 85% In-person, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,767 per year, or $60.5 per hour.

SAP HANA (ERP Data Domain Lead/architect - Sales)

Talent Movers

Jersey City, NJ • On-site

Contractor

Re-posted 29 days ago

Job description

Role :: SAP HANA (ERP Data Domain Lead/architect – Sales)

Location :: new jersey city (NJ) onsite

Rate :: on C2C

Mandatory Skill :: ERP, Data Modeling, GCP, SQL, Manufacturing, Data Lake, Sales
We are seeking an experienced ERP Data Domain Lead to own the Sales domain model across SAP, PeopleSoft, and associated enterprise systems.
This role will define and maintain the canonical data model for sales-related data in the datalake, ensuring consistent definitions, high-quality data, and alignment with reporting and analytics needs.
Responsibilities:

  • Define the canonical data model for Sales domain entities such as customer, prospect, quote, order, invoice, shipment, returns, pricing, and sales hierarchy.
  • Map SAP and PeopleSoft source objects to standardized business concepts.
  • Partner with Sales, Finance, Operations, Data Engineering, and BI teams to align business definitions.
  • Establish data standards, naming conventions, metadata, lineage, and data quality rules.
  • Support source-to-target mapping, data harmonization, and issue resolution.
  • Ensure the model supports analytics, reporting, master data, and downstream data products.


Qualifications:

  • Strong experience in enterprise data modeling, ideally in ERP environments.
  • Strong experience of SAP and/or PeopleSoft sales or order-to-cash processes.
  • Strong understanding of sales master data, transactional data, and reporting structures.
  • Experience working with data lake, lakehouse, or modern analytics platforms.
Ability to translate business requirements into logical and physical data models.