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

Wheel Pros

Powder Coat Technician

York, SC · On-site

Ability to read and interpret work orders, specifications, and safety data sheets. * Physical ... Prepare metal surfaces by cleaning, sanding, and masking to ensure proper powder adhesion.

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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 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.

Client Onboarding Product Owner for Wealth Management

Spruce Infotech

Fort Mill, SC • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Own onboarding data requirements end to end, including requirement discovery, analysis, documentation, and backlog readiness.

  • Partner with various teams to gather, validate, and document onboarding data requirements, and lead discussions on participant data collection and usage.

  • Define onboarding data delivery patterns, own data contracts, and ensure compliance with regulatory and privacy standards.

Job description

Role Summary
We are seeking a highly independent, self-driven Techno Functional Data Product Owner to lead client onboarding data requirements within Wealth Management. This role focuses on participant and investor data (e.g., name, address, SSN, tax identifiers) and requires strong hands-on data analysis, a solid understanding of business processes, and the ability to translate requirements into implementation-ready technical deliverables with minimal supervision.
The role owns outcomes end to end and partners closely with business, compliance, and engineering teams to deliver secure, high-quality onboarding data products.
Key Responsibilities
Techno Functional Ownership & Independence
• Own onboarding data requirements end to end with minimal oversight
• Drive requirement discovery, analysis, documentation, and backlog readiness independently
• Proactively identify risks, gaps, and dependencies
• Own delivery outcomes, not just documentation
Requirement Elicitation & Stakeholder Collaboration
• Partner with business, compliance, operations, and capability teams to gather onboarding requirements
• Lead discussions on what participant data is collected, how it is captured, and why it is required
• Document and validate requirements, assumptions, and decisions
Data Analysis & Documentation
• Analyze source systems, data contracts, Kafka topics, APIs, and files
• Identify gaps, overlaps, and reuse opportunities
• Produce and maintain onboarding data artifacts, including BRDs, attribute grids, Kafka/API expectations, and data flow documentation
• Partner with Data Governance and SOR teams to validate sources, lineage, ownership, and PII classification
Jira, Backlog & Agile Delivery
• Act as Product Owner for Agile delivery squads
• Decompose requirements into epics, features, and technical Jira stories with clear acceptance criteria
• Define data inputs/outputs, Kafka or API behavior, schema expectations, and data quality rules
• Own backlog prioritization, refinement, and sprint readiness
• Deliver implementation-ready Jira artifacts enabling engineering teams to build with minimal clarification
Kafka, API & Integration Ownership
• Define onboarding data delivery patterns using Kafka and REST or async APIs
• Partner with architecture and platform teams on topic strategy, schemas, retention, replay, and API contracts
• Ensure integrations are scalable, reusable, and aligned with enterprise data standards
Governance, Risk & Compliance Alignment
• Ensure compliance with KYC, AML, privacy, and regulatory requirements
• Embed data quality, metadata, lineage, and security controls
• Support auditability and traceability of onboarding data flows
Data Contracts & Documentation
• Own data contracts, including canonical definitions, schema design, conditional logic, and versioning
• Maintain accurate BRDs and Data Intake documentation
PII, Privacy & Governance
• Ensure secure handling of PII in line with regulatory and privacy standards
• Apply best practices in data classification, masking, access control, and auditability
AI Usage & Enablement
• Use AI tools responsibly to improve requirement quality and data analysis
• Apply sound judgment when working with regulated and sensitive data
Required Skills & Experience
• 8+ years of Financial Services experience, preferably in Wealth Management onboarding
• Proven techno-functional background bridging business, data, and technology
• Strong hands-on data analysis at field and attribute levels
• Ability to write clear, technical, implementation-ready Jira stories
• Strong understanding of PII and regulatory requirements
• Self-starter capable of operating independently

Apply