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Data Domain Jobs (NOW HIRING)

Senior Data Product Owner, RPA

Houston, TX · On-site

$82K - $103K/yr

They are seeking an experienced Data Product Owner to lead the RPA domain, focusing on investment data integrity, governance, and collaboration with business and technical teams to optimize data ...

Data Engineer IV - AI & Data Products

Draper, UT · On-site

$107K - $128K/yr

Responsibilities : • Define, build, validate and maintain domain-specific data product assets and data pipelines. • Collaborate with analytics and business partners to define and build semantic ...

DATA DOMAIN DESIGN * DATA DOMAIN ADMINISTER * DATA PROTECTION ADVISOR ADMINISTER Scope for the resident : Customer currently have a TSM environment. * Moving to a DPS solution with Avamar, Data ...

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Data Domain information

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.

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 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 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.
More about Data Domain jobs
What states have the most Data Domain jobs? States with the most job openings for Data Domain jobs include:
Infographic showing various Data Domain job openings in the United States as of June 2026, with employment types broken down into 13% As Needed, 62% Full Time, and 25% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Other

Posted 6 days ago


FlightSafety International rating

8.6

Company rating: 8.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

13th of 197 rated education and training


Job description

About FlightSafety International FlightSafety International is the world's premier professional aviation training company and supplier of flight simulators, visual systems and displays to commercial, government and military organizations. The company provides training for pilots, technicians and other aviation professionals from 167 countries and independent territories. FlightSafety operates the world's largest fleet of advanced full-flight simulators and award-winning maintenance training at Learning Centers and training locations in the United States, Canada, France and the United Kingdom.

Purpose of Position The Lead Data Architect is a senior member of the Data team responsible for designing, developing, and maintaining enterprise and system-level conceptual, logical, and physical data models using Data Vault methodology within a Data Mesh architecture. This role translates the organization's data product strategy into actionable architecture solutions, ensuring data models, standards, and domain-aligned data products are consistently delivered across the enterprise. The Lead Data Architect works closely with data domain owners, Data Engineers, Analytics teams, and business stakeholders to build and evolve scalable, well-governed data products on the organization's Databricks-based platform, leveraging a custom automation framework and modern lakehouse patterns to drive domain-oriented, self-serve data capabilities.

Tasks and Responsibilities Lead the design and development of conceptual, logical, and physical data models using Data Vault methodology for the enterprise Databricks lakehouse platform, ensuring alignment with architectural standards and business requirements Architect and evolve domain-aligned data products within a Data Mesh framework, ensuring each data domain delivers discoverable, addressable, trustworthy, and self-describing data products Collaborate with data domain owners, Data Engineering, Analytics, and Business Relationship Management (BRM) teams to translate business needs into robust, domain-oriented data architecture solutions Define and maintain data modeling standards, naming conventions, and design patterns that support Data Vault modeling, Data Mesh principles, and a consistent data product lifecycle across the enterprise Design and extend the organization's custom automation framework on Databricks, leveraging latest platform components (Unity Catalog, Delta Live Tables, Databricks Workflows, Databricks Asset Bundles) to accelerate data product delivery Develop and enforce a decision-making framework aligned with data domains and data products, enabling domain teams to make autonomous architecture decisions within guardrails Drive the implementation of master data management (MDM), metadata management, and data governance initiatives, leveraging Unity Catalog and platform-native capabilities for federated governance Conduct data architecture reviews for projects and data products to ensure compliance with enterprise data standards, Data Mesh principles, policies, and security requirements Collaborate with the CISO and data protection teams to ensure data classifications, data zoning, and security requirements are embedded into data product and platform designs Create and maintain architecture documentation, including data product specifications, data flow diagrams, entity-relationship diagrams, data dictionaries, and domain boundary definitions Support the development of enterprise data governance processes and structures, including data quality frameworks, data contracts, and data product SLAs Identify and resolve data architecture issues, including data redundancy, cross-domain integration challenges, and performance bottlenecks across the Databricks platform Participate in strategic roadmap planning by providing technical assessments and architecture recommendations for data products and analytics initiatives Evaluate emerging Databricks features, partner integrations, and data management trends to recommend improvements to the platform and automation framework Mentor and provide technical guidance to Data Engineers and junior team members on Data Vault modeling, Data Mesh practices, and platform best practices Facilitate communication with Databricks and other technology partners for technical evaluation, proof-of-concept efforts, and troubleshooting Balance tactical project delivery with adherence to long-term data product strategy and enterprise architectural vision Be accountable and responsible for the accuracy and completeness of assigned work and results Prioritize and manage workload and communicate issues clearly Complete other tasks as required Travel when required Minimum Education Bachelor's degree from an accredited institution in Computer Science, Information Systems, Data Management, or a related field, or equivalent industry experience Minimum Experience 8+ years of experience in Information Technology, with a majority of experience in Data Architecture or Data Engineering 5+ years of experience designing, building, and implementing enterprise data platforms, preferably on Databricks or similar lakehouse platforms 3+ years of hands-on experience with Data Vault modeling methodology Experience applying Data Mesh principles, including domain-oriented data ownership and data product thinking Experience building or contributing to automation frameworks for data platform operations Experience leading data architecture efforts across multiple concurrent projects or workstreams Experience mentoring or providing technical guidance to team members Knowledge, Skills, Abilities Strong experience using data architecture and modeling tools such as Archimate, ER/Studio, or Erwin Strong experience in Data Vault 2.0 methodology, including hubs, links, satellites, and point-in-time/bridge table patterns Solid understanding of Data Mesh architecture principles, including domain ownership, data as a product, self-serve data platform, and federated computational governance Strong experience defining and delivering data products with clearly defined contracts, SLAs, and quality standards Strong hands-on experience with the Databricks platform, including Unity Catalog, Delta Live Tables (DLT), Databricks Workflows, Delta Lake, Databricks Asset Bundles, and Databricks SQL Experience building or extending custom automation frameworks for data pipeline orchestration, deployment, and platform operations on Databricks Solid experience in master data management (MDM), data governance, and metadata management practices, including federated governance using Unity Catalog Strong knowledge of Azure cloud services that complement Databricks, including Azure Data Factory, Azure Analysis Services, and Power BI Strong expertise in enterprise-level data modeling, including relational, dimensional, and NoSQL design patterns Understanding of metamodels, taxonomies, and ontologies, and the ability to apply structured modeling techniques to semi-structured and unstructured data sources Experience with decision-making frameworks that align architecture choices with data domain boundaries and data product ownership Familiarity with data science concepts, business intelligence, and data warehouse design and implementation techniques Experience with distributed data management and analytics in cloud and hybrid environments, including microservices and event-based architectures Knowledge of problem analysis, structured analysis and design, and programming techniques (Python, SQL, Spark) Ability to assess emerging Databricks features and partner ecosystem technologies and evaluate their applicability to business needs Strong business acumen with the ability to communicate effectively with data domain owners, business stakeholders, and technical staff Experience with innovation and ideation methods such as design thinking Business domain understanding; experience with Operations, Finance, Sales, or Marketing is preferred Strong experience working in Agile/SCRUM, KANBAN, and ITSM teams Ability to mentor and guide team members on Data Vault modeling, Data Mesh practices, and platform best practices Strong written and verbal communication skills Strong organizational skills, including the ability to manage multiple priorities and workstreams Proven work ethic with the utmost integrity Self-awareness, with a desire for constant self-improvement (goal-oriented) Ability to build positive partnerships and work collaboratively with cross-functional and cross-domain teams Physical Demands and Work Environment The physical demands and work environment described here are representative of those that must be met and/or encountered by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; and communicate

The employee may be required to stand, walk, and sit. Specific vision abilities required by this job include the ability to view monitors, technical documents, and reference material. The noise level in the work environment is usually low to moderate.

FlightSafety is an Equal Opportunity Employer/Vet/Disabled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability. Any offer of employment is contingent upon successful completion of required compliance reviews, including verification that the candidate is not prohibited from employment under U.S

economic sanctions programs administered by the U.S. Department of the Treasury's Office of Foreign Assets Control (OFAC). This position may require access to export-controlled technology or services subject to the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR)

Employment consideration and any offer of employment are contingent upon the applicant's ability to comply with these requirements, including qualifying as a "U.S. Person" under applicable regulations or otherwise eligible for export authorization within a timeframe consistent with business needs. A "U.S

Person" includes U.S. citizens, lawful permanent residents (holders of approved and unexpired green cards), and certain refugees or asylees with protected status under U.S. law

This position may also require eligibility to obtain and maintain a U.S. Government security clearance for the duration of employment. Cybersecurity Notice: All official recruiting communication from FlightSafety International will come from an @flightsafety.com email address

FlightSafety International will never ask for personal or financial information through social media or third-party email providers. Apply