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Data Masking Jobs in Fort Mill, SC (NOW HIRING)

Lorven Technologies

Data Architect Chief Data

Charlotte, NC · On-site

$62.25 - $80/hr

Strong knowledge of data security architecture, including encryption, tokenization, masking, access controls, entitlement models, secrets management, and audit logging * Ability to define and ...

USM

JB061985 - Data Architect

Charlotte, NC · On-site

$70 - $75/hr

Strong knowledge of data security architecture , including encryption, tokenization, masking, access controls, entitlement models, secrets management, and audit logging * Ability to define and ...

Prophecy Technologies

Snowflake Platform Engineer

Charlotte, NC · On-site

$51.50 - $70.50/hr

... data platform support. Roles & Responsibilities • Administer and support enterprise Snowflake environments. • Manage security, access controls, RBAC, SSO, masking, and governance policies. • ...

1 point system

Python DevOps Engineer

Charlotte, NC · On-site

Engineer security automation that enforces controls for data access, encryption, masking, and protection across the data platform. * Integrate security into the SDLC by embedding controls into CI/CD ...

1 point system

Platform Engineer

Charlotte, NC · On-site

Engineer security automation that enforces controls for data access, encryption, masking, and protection across the data platform. * Integrate security into the SDLC by embedding controls into CI/CD ...

Snelling Charlotte

Painter

Charlotte, NC · On-site

$17.25 - $23.25/hr

Prepare surfaces for painting by cleaning, sanding, masking, grinding, and completing other ... Read and follow job travelers, paint schedules, technical data sheets, and applicable ...

Town of Fort Mill

Be Seen First

Water Maintenance Worker

Fort Mill, SC · On-site

$21.30/hr

Installs and repairs water meters; reads utility meters to collect usage data. * Transports ... Work requires the use of protective devices such as masks, goggles, gloves, etc.

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All JobsData Masking JobsData Masking Jobs in Fort Mill, SC

Data Masking information

What is data masking?

Data masking is a process used to protect sensitive information by replacing original data with fictional but realistic data. The goal is to ensure that confidential data, such as personal identification numbers or financial information, cannot be accessed by unauthorized users, especially in non-production environments like testing or development. Data masking maintains the format and structure of the original data so that applications can function correctly while ensuring privacy and compliance with regulations. This technique is commonly used in industries that handle large amounts of sensitive information, such as healthcare, finance, and government.

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

To thrive as a Data Masking Specialist, you need a solid understanding of data security principles, database management, and regulatory compliance, typically supported by a degree in computer science or information security. Familiarity with data masking tools such as Informatica, IBM Optim, or Microsoft SQL Server Data Masking, as well as relevant certifications like CISSP or CISM, is often required. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are crucial to ensure sensitive data is properly protected, minimizing security risks and meeting compliance requirements.

What are some common challenges faced by professionals working in data masking roles?

Professionals in data masking roles often encounter challenges such as ensuring that masked data remains useful for development or testing while maintaining strict compliance with privacy regulations. Balancing security with data utility can be complex, especially when working with legacy systems or large-scale databases. Collaboration with database administrators, developers, and compliance teams is essential to design effective masking strategies and troubleshoot issues as they arise. Staying updated on evolving data privacy laws and best practices is also crucial for long-term success in this field.

What is the difference between Data Masking vs Data Analyst?

AspectData MaskingData Analyst
Required CredentialsTypically no formal certifications, but knowledge of data security and privacy standardsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentIT/security teams, often within data security or compliance departmentsBusiness intelligence, analytics teams, or data departments across various industries
Employer & Industry UsageUsed in industries handling sensitive data like finance, healthcare, and retailUsed across industries for data-driven decision making, reporting, and insights

Data Masking focuses on protecting sensitive information by obfuscating data to ensure privacy and security. Data Analysts interpret and analyze data to generate insights. While Data Masking is a technical security process, Data Analysts work with the data post-masking to support business decisions.

What are popular job titles related to Data Masking jobs in Fort Mill, SC?

For Data Masking jobs in Fort Mill, SC, the most frequently searched job titles are:

What job categories do people searching Data Masking jobs in Fort Mill, SC look for?

The top searched job categories for Data Masking jobs in Fort Mill, SC are:

What cities near Fort Mill, SC are hiring for Data Masking jobs?

Cities near Fort Mill, SC with the most Data Masking job openings:

Data Masking jobs near you
Infographic showing various Data Masking job openings in Fort Mill, SC as of August 2026, with employment types broken down into 52% Full Time, 38% Contract, and 10% Nights. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

Data Architect Chief Data

Lorven Technologies

Charlotte, NC • On-site

$62.25 - $80/hr

Full-time

Posted 16 days ago

Job description

Role Name: Data Architect Chief Data
Location: Charlotte, NC (3 days a week on-site)
Job Description:
Client is seeking a Principal Data Architect- a hands-on technologist who will shape modern data architecture across cloud and on-prem environments in a large-scale banking ecosystem. This role designs scalable patterns for application, analytics, workflow, and AI-enabled workloads while guiding the evolution of legacy systems into secure, resilient, and future-ready platforms. The ideal candidate balances strategy, design, and hands-on execution-proving concepts through code, solving complex data challenges, and influencing senior technologists. You will work across diverse systems, define architectural patterns, and enable teams to modernize data environments with practical, AI-aware solutions.
This role requires deep expertise in distributed data systems, application and workflow integration, and analytic platforms, along with the ability to translate current-state constraints into forward-looking architectures. Experience using both traditional development and AI-assisted engineering tools is key. Beyond technical leadership, you will mentor teams, align architecture to business outcomes, and communicate effectively with both technical and business stakeholders. Success in this role requires driving solutions that balance innovation with measurable value, including considerations of scalability, cost (TCO), and ROI.
In this role, you will:
  • Act as an advisor to senior leadership to develop the architectural framework & delivery for highly complex business and technical needs across multiple groups
  • Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering products and solutions that are long-term, large-scale, and require vision, creativity, innovation, advanced analytical and inductive thinking
  • Provide vision, direction, and expertise to senior leadership on implementing the transformation strategy describing the current state, target state, and transition architecture
  • Develop and influence strategic plans, investment planning, and execution on cutover strategies to target
  • Strategically engage with all levels of professionals and managers across the enterprise and serve as an architectural domain expert advisor to leadership
  • Drive target investments towards target technologies and rationalize spend, total cost of ownership, and return on investment
  • Ensure applications adhere to established Wells Fargo standards, policies, methodologies, and industry best practices as it transforms toward target state architecture
  • Drive the definition, establishment, selection of strategic tools, and application of architecture frameworks
  • Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization and can influence internal and vendor roadmaps in a significant capacity

Required Qualifications:
  • 7+ years of experience in data architecture, data engineering, database platforms, or enterprise technology roles, with significant experience in large-scale financial services or banking environments.
  • 7+ years of designing enterprise-scale data architectures across hybrid cloud, public cloud, private cloud, and on-premises platforms.
  • 7+ years of experience with relational, NoSQL, columnar, distributed, and shared-nothing database technologies.

Desired Qualifications
  • Proven ability to design scalable architectures using partitioning, sharding, replication, workload isolation, horizontal scaling, and distributed processing patterns
  • Experience architecting batch, streaming, event-driven, real-time, near-real-time, and API-based data integration patterns
  • Strong understanding of how application workloads, analytical workloads, reporting workloads, workflow engines, and AI/ML workloads interact with enterprise data platforms
  • Hands-on capability with technologies such as SQL, Python, Java, Spark, Kafka, Airflow, APIs, and modern data pipeline frameworks
  • Expertise in data modeling, including conceptual, logical, physical, dimensional, canonical, domain-driven, and event-based models
  • Strong knowledge of data security architecture, including encryption, tokenization, masking, access controls, entitlement models, secrets management, and audit logging
  • Ability to define and evaluate non-functional technical requirements, including latency, throughput, scalability, availability, resiliency, recovery, observability, security, and maintainability
  • Familiarity with designing data architectures that support AI, machine learning, feature engineering, model training, retrieval-augmented generation, vector search, and analytical workloads
  • Experience developing reference architectures, reusable design patterns, platform standards, technical guardrails, and implementation blueprints
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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