SeniorAdministrator Data Security And compliance,Presales

Job description

Design and implement masking policies using Databricks (deterministic, random, shuffling, substitution, key-based, format-preserving), ensuring consistent masking across systems. • Implement and manage Data Subset strategies (constraint-based, rule-based) and optimize extracts for performance and storage. • Build and schedule data flow for end-to-end orchestration (extract, mask, validate, publish), including dependencies, parameters, and notifications. • Perform post-mask validation (row counts, referential integrity checks, key uniqueness, format checks) and reconcile issues with source/application teams. • Monitor and troubleshoot the job execution (logs, performance bottlenecks, failures) and drive incident/problem resolution through ServiceNow. • Ensure compliance with data privacy and audit requirements (least privilege access, evidence capture, approvals, retention/cleanup of test extracts). • Create and maintain reusable masking rule libraries, templates, and standardized runbooks to improve repeatability across applications. • Coordinate releases and stakeholder communication: refresh windows, downtime impacts, sign-offs, and delivery confirmations. • Design and build data pipelines using Python to provision test datasets from enterprise sources. Key Responsibilities Design and implement masking policies using Databricks (deterministic, random, shuffling, substitution, key-based, format-preserving), ensuring consistent masking across systems. • Implement and manage Data Subset strategies (constraint-based, rule-based) and optimize extracts for performance and storage. • Build and schedule data flow for end-to-end orchestration (extract, mask, validate, publish), including dependencies, parameters, and notifications. • Perform post-mask validation (row counts, referential integrity checks, key uniqueness, format checks) and reconcile issues with source/application teams. • Monitor and troubleshoot the job execution (logs, performance bottlenecks, failures) and drive incident/problem resolution through ServiceNow. • Ensure compliance with data privacy and audit requirements (least privilege access, evidence capture, approvals, retention/cleanup of test extracts). • Create and maintain reusable masking rule libraries, templates, and standardized runbooks to improve repeatability across applications. • Coordinate releases and stakeholder communication: refresh windows, downtime impacts, sign-offs, and delivery confirmations. • Design and build data pipelines using Python to provision test datasets from enterprise sources. Skill Requirements Design and implement masking policies using Databricks (deterministic, random, shuffling, substitution, key-based, format-preserving), ensuring consistent masking across systems. • Implement and manage Data Subset strategies (constraint-based, rule-based) and optimize extracts for performance and storage. • Build and schedule data flow for end-to-end orchestration (extract, mask, validate, publish), including dependencies, parameters, and notifications. • Perform post-mask validation (row counts, referential integrity checks, key uniqueness, format checks) and reconcile issues with source/application teams. • Monitor and troubleshoot the job execution (logs, performance bottlenecks, failures) and drive incident/problem resolution through ServiceNow. • Ensure compliance with data privacy and audit requirements (least privilege access, evidence capture, approvals, retention/cleanup of test extracts). • Create and maintain reusable masking rule libraries, templates, and standardized runbooks to improve repeatability across applications. • Coordinate releases and stakeholder communication: refresh windows, downtime impacts, sign-offs, and delivery confirmations. • Design and build data pipelines using Python to provision test datasets from enterprise sources. Other Requirements Design and implement masking policies using Databricks (deterministic, random, shuffling, substitution, key-based, format-preserving), ensuring consistent masking across systems. • Implement and manage Data Subset strategies (constraint-based, rule-based) and optimize extracts for performance and storage. • Build and schedule data flow for end-to-end orchestration (extract, mask, validate, publish), including dependencies, parameters, and notifications. • Perform post-mask validation (row counts, referential integrity checks, key uniqueness, format checks) and reconcile issues with source/application teams. • Monitor and troubleshoot the job execution (logs, performance bottlenecks, failures) and drive incident/problem resolution through ServiceNow. • Ensure compliance with data privacy and audit requirements (least privilege access, evidence capture, approvals, retention/cleanup of test extracts). • Create and maintain reusable masking rule libraries, templates, and standardized runbooks to improve repeatability across applications. • Coordinate releases and stakeholder communication: refresh windows, downtime impacts, sign-offs, and delivery confirmations. • Design and build data pipelines using Python to provision test datasets from enterprise sources. Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Copyright © 2026 HCL Technologies Limited Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Required Cookies Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data center "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another Cookies from provider SAPasserviceprovider are required and cannot be turned off Functional Cookies These cookies provide a better customer experience on this site, such as by remembering your login details, optimizing video performance, or providing us with information about how our site is used. You may freely choose to accept or decline these cookies at any time. Note that certain functionalities that these third-parties make available may be impacted if you do not accept these cookies. Consent to all Functional Cookies Functional Cookies Provider Description Enabled Vimeo Vimeo is a video hosting, sharing, and services platform focused on the delivery of video. Opting out of Vimeo cookies will disable your ability to watch or interact with Vimeo videos. Cooki