Verified Job
Engineering - Architecture
Harnham Data Architect (Data Privacy) - Remote
Engineering - Architecture
#802772
Remote / WFH
Harnham
Job Description
Job highlights
Identified by Google from the original job post
Qualifications
Required Experience
Demonstrated experience designing privacy-focused data architectures within enterprise environments
Deep expertise in identity resolution, pseudonymization, and customer identity management
Strong experience working with Snowflake and modern cloud-based data platforms
Proven knowledge of dbt and large-scale data warehouse migration programs
Experience delivering data governance, privacy, or regulatory compliance initiatives
Ability to produce detailed technical documentation and communicate effectively with both technical and non-technical stakeholders
Strong stakeholder management skills and the ability to balance governance, usability, and operational requirements
Fully remote engagement within the United States
Opportunity to influence a high-profile enterprise data transformation program
Direct collaboration with senior data and engineering leadership
Exposure to complex challenges spanning data privacy, governance, AI enablement, and modern data architecture
Benefits
Rate: $80-$100 per hour
Responsibilities
*we will NOT be utilizing agencies or third parties for this role**
This engagement offers the opportunity to shape the future-state architecture of a modern cloud data platform, ensuring privacy, governance, and AI readiness are embedded at the core of the design
Working closely with senior data and engineering stakeholders, you will be responsible for defining a scalable architecture that removes or minimizes customer personally identifiable information (PII) from analytical environments while maintaining business value and operational effectiveness
Design a target-state data architecture that minimizes or removes customer PII from analytics environments
Define and implement a universal customer identifier strategy across the enterprise data estate
Provide expertise on identity resolution, pseudonymization, and privacy-centric data warehouse design
Develop a comprehensive migration strategy for existing warehouse tables and transformation models
Define integration requirements between the data platform and identity translation services
Assess the impact of architectural changes across reporting, analytics, and data products
Establish approaches for managing data subject deletion requests within the proposed architecture
Provide recommendations for integrating customer feedback and qualitative data sources
Produce detailed architectural designs, migration plans, and implementation-ready documentation for engineering teams
Job description
Data Architect
• *we will NOT be utilizing agencies or third parties for this role**
Location: Fully Remote (United States)
Contract Length: 6 Months
Extension Potential: Yes
Rate: $80-$100 per hour
We are partnering with a technology-led organization undergoing a significant data transformation initiative to identify an experienced Data Architect (Data Privacy Focused). This engagement offers the opportunity to shape the future-state architecture of a modern cloud data platform, ensuring privacy, governance, and AI readiness are embedded at the core of the design.
Working closely with senior data and engineering stakeholders, you will be responsible for defining a scalable architecture that removes or minimizes customer personally identifiable information (PII) from analytical environments while maintaining business value and operational effectiveness.
Key Responsibilities
• Design a target-state data architecture that minimizes or removes customer PII from analytics environments.
• Define and implement a universal customer identifier strategy across the enterprise data estate.
• Provide expertise on identity resolution, pseudonymization, and privacy-centric data warehouse design.
• Develop a comprehensive migration strategy for existing warehouse tables and transformation models.
• Define integration requirements between the data platform and identity translation services.
• Assess the impact of architectural changes across reporting, analytics, and data products.
• Establish approaches for managing data subject deletion requests within the proposed architecture.
• Provide recommendations for integrating customer feedback and qualitative data sources.
• Produce detailed architectural designs, migration plans, and implementation-ready documentation for engineering teams.
Required Experience
• Demonstrated experience designing privacy-focused data architectures within enterprise environments.
• Deep expertise in identity resolution, pseudonymization, and customer identity management.
• Strong experience working with Snowflake and modern cloud-based data platforms.
• Proven knowledge of dbt and large-scale data warehouse migration programs.
• Experience delivering data governance, privacy, or regulatory compliance initiatives.
• Ability to produce detailed technical documentation and communicate effectively with both technical and non-technical stakeholders.
• Strong stakeholder management skills and the ability to balance governance, usability, and operational requirements.
Opportunity Highlights
• Fully remote engagement within the United States.
• Opportunity to influence a high-profile enterprise data transformation program.
• Direct collaboration with senior data and engineering leadership.
• Exposure to complex challenges spanning data privacy, governance, AI enablement, and modern data architecture.
Identified by Google from the original job post
Qualifications
Required Experience
Demonstrated experience designing privacy-focused data architectures within enterprise environments
Deep expertise in identity resolution, pseudonymization, and customer identity management
Strong experience working with Snowflake and modern cloud-based data platforms
Proven knowledge of dbt and large-scale data warehouse migration programs
Experience delivering data governance, privacy, or regulatory compliance initiatives
Ability to produce detailed technical documentation and communicate effectively with both technical and non-technical stakeholders
Strong stakeholder management skills and the ability to balance governance, usability, and operational requirements
Fully remote engagement within the United States
Opportunity to influence a high-profile enterprise data transformation program
Direct collaboration with senior data and engineering leadership
Exposure to complex challenges spanning data privacy, governance, AI enablement, and modern data architecture
Benefits
Rate: $80-$100 per hour
Responsibilities
*we will NOT be utilizing agencies or third parties for this role**
This engagement offers the opportunity to shape the future-state architecture of a modern cloud data platform, ensuring privacy, governance, and AI readiness are embedded at the core of the design
Working closely with senior data and engineering stakeholders, you will be responsible for defining a scalable architecture that removes or minimizes customer personally identifiable information (PII) from analytical environments while maintaining business value and operational effectiveness
Design a target-state data architecture that minimizes or removes customer PII from analytics environments
Define and implement a universal customer identifier strategy across the enterprise data estate
Provide expertise on identity resolution, pseudonymization, and privacy-centric data warehouse design
Develop a comprehensive migration strategy for existing warehouse tables and transformation models
Define integration requirements between the data platform and identity translation services
Assess the impact of architectural changes across reporting, analytics, and data products
Establish approaches for managing data subject deletion requests within the proposed architecture
Provide recommendations for integrating customer feedback and qualitative data sources
Produce detailed architectural designs, migration plans, and implementation-ready documentation for engineering teams
Job description
Data Architect
• *we will NOT be utilizing agencies or third parties for this role**
Location: Fully Remote (United States)
Contract Length: 6 Months
Extension Potential: Yes
Rate: $80-$100 per hour
We are partnering with a technology-led organization undergoing a significant data transformation initiative to identify an experienced Data Architect (Data Privacy Focused). This engagement offers the opportunity to shape the future-state architecture of a modern cloud data platform, ensuring privacy, governance, and AI readiness are embedded at the core of the design.
Working closely with senior data and engineering stakeholders, you will be responsible for defining a scalable architecture that removes or minimizes customer personally identifiable information (PII) from analytical environments while maintaining business value and operational effectiveness.
Key Responsibilities
• Design a target-state data architecture that minimizes or removes customer PII from analytics environments.
• Define and implement a universal customer identifier strategy across the enterprise data estate.
• Provide expertise on identity resolution, pseudonymization, and privacy-centric data warehouse design.
• Develop a comprehensive migration strategy for existing warehouse tables and transformation models.
• Define integration requirements between the data platform and identity translation services.
• Assess the impact of architectural changes across reporting, analytics, and data products.
• Establish approaches for managing data subject deletion requests within the proposed architecture.
• Provide recommendations for integrating customer feedback and qualitative data sources.
• Produce detailed architectural designs, migration plans, and implementation-ready documentation for engineering teams.
Required Experience
• Demonstrated experience designing privacy-focused data architectures within enterprise environments.
• Deep expertise in identity resolution, pseudonymization, and customer identity management.
• Strong experience working with Snowflake and modern cloud-based data platforms.
• Proven knowledge of dbt and large-scale data warehouse migration programs.
• Experience delivering data governance, privacy, or regulatory compliance initiatives.
• Ability to produce detailed technical documentation and communicate effectively with both technical and non-technical stakeholders.
• Strong stakeholder management skills and the ability to balance governance, usability, and operational requirements.
Opportunity Highlights
• Fully remote engagement within the United States.
• Opportunity to influence a high-profile enterprise data transformation program.
• Direct collaboration with senior data and engineering leadership.
• Exposure to complex challenges spanning data privacy, governance, AI enablement, and modern data architecture.
