senior data architect

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">CV&rsquo;s that match the JD will be entertained Only 
 
Data Architect 
Location : Onsite &ndash; Riyadh 
Role Duration &ndash; Long Term
</h1>
<h1 class="jobSectionHeader">Role Overview</h1>
The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>
Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>
Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>
Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>
Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>
Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>
Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>
Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>
Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>
Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><h1 class="jobSectionHeader">
Required Experience and Qualifications</h1><ul><li>
15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation.</li><li>
Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment.</li><li>
Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability.</li><li>
Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems.</li><li>
Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles.</li><li>
Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns.</li><li>
Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</li></ul>
MRYI18gL3i</div>

Senior Data Architect

<div><h1 class="jobSectionHeader">CV&rsquo;s that match the JD will be entertained Only 
 
Data Architect 
Location : Onsite &ndash; Riyadh 
Role Duration &ndash; Long Term
</h1>
<h1 class="jobSectionHeader">Role Overview</h1>
The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>
Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>
Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>
Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>
Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>
Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>
Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>
Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>
Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>
Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><h1 class="jobSectionHeader">
Required Experience and Qualifications</h1><ul><li>
15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation.</li><li>
Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment.</li><li>
Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability.</li><li>
Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems.</li><li>
Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles.</li><li>
Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns.</li><li>
Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</li></ul>
8hClB9Kwo7</div>

WESTROCK COFFEE

<div><div>You'll be joining a small team rebuilding Westrock Coffee's operating system from the ground up on Palantir Foundry. This isn't a maintain-the-dashboard role-you'll architect core data pipelines, design ontology models, and ship AI-driven applications that change how our company operates.</div>
<div></div><div>Job Duties:</div>
<ul><li>7-10 years of software engineering and development experience</li>
<li>Strong engineering background, preferably in fields such as Computer Science, Mathematics, Engineering, and Data Science</li>
<li>Strong coder with shown proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar for data manipulation, scripting, model development, and application building</li>
<li>Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)</li>
<li>In-office position in Little Rock, Arkansas Headquarters working in a collaborative Foundry Development Center</li>
<li>Experience with Palantir Foundry is a strong plus, but we're equally interested in engineers who learn platforms fast and have built on complex data systems before</li>
</ul>Requirements:
<div>Qualifications:</div>
<ul><li>Collaborate with cross-functional teams to identify requirements to architect and build impactful solutions by developing customer applications</li>
<li>Architect and engineer solutions in Palantir Foundry on the team working toward building out the reimagined Westrock Coffee operating system</li>
<li>Design and implement end-to-end data pipelines and transformation logic with a focus on data health and sustainability</li>
<li>Model objects and relationships in the Enterprise Ontology</li>
<li>Apply machine learning best practices, including feature engineering, model validation, and performance tuning for development and deployment</li>
<li>Utilize Foundry AIP and integrate LLM-based agents to transform workflows</li>
<li>Design and build agent architecture that enables observability, human-in-the-loop verification, and precise context control access</li></ul></div>

Sr. Data AI Engineer

multitech

Are you driven by innovation and helping customers solve complex business challenges with technology solutions? If so, consider joining the MultiTech team! MultiTech is a global company with a 50+ year legacy of designing and manufacturing connectivity solutions for a broad range of industries. We are gearing up for the next phase of our journey and are seeking top talent to bolster our team. Our people are our greatest asset and we’re focused on making MultiTech the employer of choice in the industry.
 
SUMMARY: You will build the foundational backend services, billing engines, and data models for our next-generation enterprise IoT platform. Your immediate goal is to deliver the core infrastructure necessary to securely migrate existing enterprise customers from legacy systems to our modern cloud environment.
 
ESSENTIAL DUTIES AND RESPONSIBILITIES: 
<ul>
<li>Architect and implement a scalable device database to ensure trusted device identity, validation, and catalog structure.</li>
<li>Design and build scalable backend services and APIs supporting device management, billing, authentication, and administration.</li>
<li>Build robust billing and administration capabilities needed for enterprise readiness, including subscription monetization, RBAC, and auditability.</li>
<li>Implement Infrastructure as Code (IaC) using Bicep to automate resource creation and ensure maintainability as the platform scales.</li>
<li>Collaborate with Product, Platform, Cloud, and Customer Success teams to deliver reliable IoT solutions.</li>
<li>Leverage modern AI-assisted development tools (e.g., Claude-Preferred, GitHub Copilot, ChatGPT) to improve engineering productivity while maintaining high standards for code quality, testing, and documentation.</li>
</ul>
QUALIFICATION REQUIREMENTS: 
EDUCATION AND/OR EXPERIENCE: 
<ul>
<li>7+ years of professional software engineering experience developing enterprise-grade cloud applications.</li>
<li>Strong expertise in .NET / ASP.NET Core, Entity Framework Core, REST APIs, and gRPC.</li>
<li>Experience with GraphQL and designing distributed messaging systems (e.g., pub/sub, Azure Service Bus).</li>
<li>Advanced knowledge of Microsoft Azure cloud technologies, specifically Azure App Service and Azure AD B2C / Microsoft Entra ID.</li>
<li>Deep understanding of database technologies, specifically Azure Cosmos DB and Redis.</li>
<li>Working knowledge of containerization and observability principles, with an eye toward future Kubernetes adoption.</li>
</ul>
PHYSICAL DEMANDS: 
<ul>
<li>Lifting requirements up to 10 pounds.</li>
<li>Requires sitting for periods of time and occasional mobility.</li>
</ul>
WORK ENVIRONMENT: 
<ul>
<li>Working conditions are normal for an office environment. Minimal noise.</li>
<li>Our Minnesota facility includes a manufacturing environment. Moderate noise level. Machinery operation requires the use of safety equipment to include but not limited to; safety glasses, hearing protection, wrist and shoe straps, and ESD smock. Loose fitting clothing and jewelry are not permitted. No food is allowed in the manufacturing area. No cell phone use allowed in manufacturing area unless approved by management.</li>
</ul>
EQUIPMENT AND TOOLS USED: 
<ul>
<li>Laptop computer.</li>
<li>Standard office equipment.</li>
</ul>
Equal Employment Opportunity
 It is the policy and practice of MultiTech to provide all employees with a working environment free from all forms of discrimination and harassment. It is the policy of MultiTech to recruit, hire, promote, and take other personnel actions without regard to any protected class, including but not limited to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity, genetic information or protected veteran status, and to provide equal employment opportunities for all employees and employment candidates.
 <ul>
<li>If you are interested in applying for employment with MultiTech and need special assistance or an accommodation as part of the employment process, please contact Human Resources at applicants@multitech.com</li>
</ul>
Benefits Summary
 As a MultiTech employee, you’ll enjoy a comprehensive benefits package that includes competitive health, dental and vision insurance plans, company-paid Employee Life, AD&D, and Short-term Disability, as well as a 401(k) with employer matching. To support work life balance, you’ll be eligible for 10 paid holidays and paid time off (PTO). Additionally, we’ll provide you with access to Voluntary Life for you and your eligible dependents, Long-term Disability, flex spending, and health savings accounts.

Senior Software Engineer - Cloud Platform & Data Architecture

Diligent Robotics

<div>What we're doing isn't easy, but nothing worth doing ever is.

At Diligent Robotics, we envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments. Our robots operate in complex environments such as hospitals, supporting staff so they can focus on higher-value work and patient care.

We're hiring our Founding Senior Data Engineer &mdash; the first dedicated data hire on a team that already has active analytics demand, working dashboards, and a clear plan for what comes next. You'll own the design and build of our BigQuery data warehouse, set the standards the rest of the data function will follow, and partner closely with our existing analyst team to build the analytics platform that will power the next stage of the business.

This is a hands-on senior IC role with significant architectural scope. You will set the long-term shape of our analytics platform and write much of the code that gets us there. This role is open for 100% remote work with some travel for team meetings in Austin, TX.

Key Responsibilities
<ul>
<li>Stand up the warehouse. Design and implement our BigQuery environment from the ground up &mdash; project structure, IAM, dataset organization, naming conventions, cost controls &mdash; so it scales cleanly as we add sources and users.</li>
<li>Build the transformation layer. Set up dbt as the home for our transformation logic. Migrate the business logic from our existing analytics environment into version-controlled, tested dbt models.</li>
<li>Model master data. Introduce dimensional models for our core business entities so data from different sources can be joined consistently.</li>
<li>Own ingestion. Configure native Firestore-to-BigQuery integration, then stand up Airbyte as our managed connector layer for SaaS sources and log exports as we broaden the warehouse.</li>
<li>Partner across the org. Work with source-system owners, the analyst team, and engineering teams that will eventually consume curated data from the warehouse. Help define the boundary between what the warehouse is and is not for.</li>
</ul>
Basic Qualifications
<ul>
<li>5+ years of hands-on data engineering experience, including significant work in a modern data stack (cloud warehouse + dbt + version-controlled transformations).</li>
<li>Deep, hands-on experience with BigQuery (or another columnar cloud warehouse &mdash; Snowflake, Redshift &mdash; with willingness to ramp on BigQuery quickly).</li>
<li>Deep, hands-on experience with dbt, including project structure, testing, and modeling patterns. You can debate the tradeoffs of staging vs. intermediate vs. marts layering and have opinions about when to use incremental models.</li>
<li>Strong dimensional modeling fundamentals (Kimball or equivalent). You understand conformed dimensions, slowly changing dimensions, and grain.</li>
<li>Strong SQL. Comfortable reviewing and refactoring complex SQL written by analysts.</li>
<li>Experience designing ingestion pipelines from multiple source types &mdash; operational databases, SaaS APIs, log-based sources.</li>
<li>Excellent technical communication. You can explain tradeoffs and modeling decisions to analysts, engineers, and executives.</li>
<li>Comfortable being the first dedicated data engineer in an organization &mdash; setting standards, making decisions without a peer to defer to, partnering with non-data folks.</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience with Firestore and the native Firestore-to-BigQuery integration, particularly at scale (multi-project setups).</li>
<li>Experience with Airbyte (self-hosted or cloud) or comparable managed ingestion tools (Fivetran, Stitch).</li>
<li>Experience working with Elastic as a data source &mdash; extracting metrics or operational data out of Elastic indexes into downstream systems.</li>
<li>Experience designing a metrics catalog or semantic layer (dbt Semantic Layer, MetricFlow, LookML, or similar).</li></ul></div>

Founding Sr. Data Engineer

MA'ADEN

<div>Job Purpose
The Principal Specialist, Data Modeling &amp; Architecture leads the design, modeling, and evolution of the enterprise data architecture to ensure data products, curated layers, and integration patterns are standardized, scalable, high-quality, and governed. The role defines how diverse operational and corporate data should be modeled, aligned, and transformed to support analytics, enterprise reporting, and integration with downstream systems.
This position is a senior technical authority responsible for defining modeling standards, shaping architecture decisions, and guiding multidisciplinary teams to achieve semantic consistency and reusability across domains, while enabling performance, interoperability, and trusted consumption.
Key Accountabilities
<ul><li>Develop and maintain conceptual, logical, and physical data models aligned with business domains, using enterprise standards and modeling principles.
</li><li>Define canonical models, conformed dimensions, and reference data structures to enable consistent cross-domain reporting and analytics.
</li><li>Lead the creation and optimization of data product models and curated layer schemas (including time-variant structures and auditability) to support enterprise use cases.
</li><li>Ensure models consider platform and technology requirements (relational, non-relational, time-series, streaming) and are optimized for performance and maintainability.
</li><li>Establish integration patterns that ensure consistent transformation logic, metadata, lineage, and data quality across source-to-consumption pipelines.
</li><li>Define and maintain enterprise modeling standards, guidelines, naming conventions, and reusable templates to uplift modeling maturity across delivery teams.
</li><li>Review and approve modeling deliverables from internal teams and external vendors; provide design authority and quality assurance for key initiatives.
</li><li>Partner with governance to ensure business glossary alignment and stewardship ownership for critical entities and attributes.
</li><li>Mentor modelers, engineers, and analysts; lead model reviews and coaching to ensure consistent application of standards.
</li></ul>Minimum Qualifications, Experiences &amp; Competencies
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in Computer Science/Engineering, Data Engineering, Information Systems, or related field.
</li>Master&rsquo;s degree preferred (Data Architecture, Software Engineering, or Analytics). 
<li>
</li></ul>Minimum Experience:
<ul><li>10&ndash;15 years of experience in data modeling, data architecture, or enterprise information architecture.
</li><li>Strong experience with cloud-native data platforms and metadata/governance tooling; demonstrated ability to influence architecture across multiple domains. 
</li></ul>Ma&rsquo;aden High-Performance Competencies:
<ul><li>Strategic Thinking &amp; Decision Making &ndash; Anticipates implications and guides enterprise direction.
</li><li>Collaboration &amp; Influencing &ndash; Aligns diverse stakeholders without direct authority.
</li><li>Execution Excellence &ndash; Sets high standards and ensures measurable outcomes.
</li><li>Innovation &amp; Adaptability &ndash; Applies modern practices and evolves standards pragmatically.
</li><li>Change Leadership &ndash; Drives adoption, governance, and continuous improvement.
</li></ul>Skills:
<ul><li>Mastery of conceptual, logical, and physical data modeling; dimensional modeling and domain-driven design concepts.
</li><li>Enterprise architecture and modeling principles; metadata management and lineage concepts.
</li><li>Design of curated data layers, data products, and integration patterns from source to consumption.
</li><li>Ability to balance governance, usability, and performance; strong design documentation and stakeholder communication.
</li><li>Proficiency with modeling tools and standards; ability to review and assure vendor deliverables.</li></ul></div>

Principal Specialist, Data Modeling & Arch

L3Harris

<div>L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers&rsquo; mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.
L3Harris is the Trusted Disruptor in defense tech. With customers&rsquo; mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.
Job Title: Senior Specialist, Data Governance 
Job Code: 41923 
Job Location: Remote (US), or Melbourne-FL 
Job Schedule: 9/80 Regular (Employees work 9 out of every 14 days &ndash; totaling 80 hours worked &ndash; and have every other Friday off) 
Job Description: 
Job Description: 
We are seeking an experienced Data Governance professional to lead the development and implementation of enterprise-wide data governance programs. This role is critical in establishing and maintaining data policies, standards, and procedures that ensure our data assets are accurate, secure, compliant, and effectively managed across the organization. 
You will collaborate with business stakeholders, data owners, IT teams, legal, compliance, and cybersecurity to build robust data governance frameworks that align with business objectives and regulatory requirements. As a Senior Specialist in Data Governance, you will drive data quality initiatives, establish accountability structures, and champion best practices in data stewardship across various business domains. 
You are a strategic thinker with strong analytical and interpersonal skills, capable of partnering with cross-functional teams to implement governance controls, resolve data quality issues, and ensure compliance with regulatory standards. You thrive on creating order from complexity and are passionate about enabling data-driven decision-making through sound governance practices. 
Essential Functions: 
<ul><li>
Develop, maintain, and enforce comprehensive data governance policies, standards, and procedures across the enterprise.</li><li>
Define and document data ownership, stewardship, and accountability structures across business domains.</li><li>
Establish and manage data governance frameworks, councils, and working groups to drive governance maturity.</li><li>
Ensure data is accurate, consistent, complete, secure, and compliant with organizational standards and regulatory requirements.</li><li>
Monitor and improve data quality through systematic profiling, validation, and issue remediation processes.</li><li>
Partner with data owners and stewards to identify, analyze, and resolve data defects and root causes.</li><li>
Support master data management (MDM), metadata management, and reference data controls initiatives.</li><li>
Ensure compliance with regulatory, legal, privacy, and security requirements (GDPR, CCPA, ITAR, SOX, etc.).</li><li>
Help implement and monitor controls for sensitive data handling, data retention, classification, change management, and access management.</li><li>
Support internal and external audits, risk assessments, and remediation planning activities.</li><li>
Work closely with legal, compliance, cybersecurity, and IT teams to address data-related risks and vulnerabilities.</li><li>
Provide training and support to data owners, stewards, and end users to ensure successful adoption of governance practices.</li><li>
Create and maintain detailed documentation of governance frameworks, policies, procedures, and data lineage for future reference.</li><li>
Ability to handle complex problems and take initiative to research issues, engage in self-learning, problem solve, and implement solutions.</li><li>
Ability to translate data-related requirements into innovative governance solutions, drawing on prior education and experience, standard procedures, and analytical thinking.</li><li>
Stay updated with industry trends, emerging regulations, and best practices in data governance and data management.</li><li>
10-20% travel required; may be expected to support onsite implementation of governance frameworks or enterprise solution integrations.</li></ul> 
Qualifications: 
<ul><li>
Bachelor's Degree and minimum 6 years of prior relevant experience in data governance, data management, or related field. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience.</li></ul> 
Preferred Additional Skills: 
<ul><li>
Knowledge of regulatory frameworks (GDPR, CCPA, HIPAA, SOX, ITAR) and industry standards (DAMA-DMBOK, DCAM).</li><li>
Experience implementing data literacy programs.</li><li>
Master's degree in Information Management, Data Science, Computer Science, Business Administration (MBA), or a related field.</li><li>
Professional certifications in data governance (CDMP, DGSP, CIPP) or related compliance disciplines.</li><li>
Experience with various ERPs and enterprise software (SAP, PeopleSoft, Oracle, CostPoint, etc.).</li><li>
Strong understanding of data architecture, data modeling, systems integration, and data management best practices.</li><li>
Excellent communication skills, commitment to quality, customer focus, adaptability, and interpersonal skills.</li><li>
Strong attention to detail and a high degree of accuracy with minimal oversight.</li><li>
Experience working with cross-functional teams to influence outcomes in an agile environment.</li><li>
Experience with data quality tools, data profiling, and data lineage analysis.</li><li>
Understanding of cloud data platforms (AWS, Azure, GCP) and modern data architectures.</li></ul> 
In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $96,000-$178,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $84,000-$156,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.
#LI-IK1
#LI-Onsite 
L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.
Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.</div>

Senior Specialist, Data Governance

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Senior Specialist, Data Governance