ZipRecruiter
Overview
We are seeking a highly skilled
Data Architect
to lead the design and governance of enterprise data solutions, with a strong focus on
Snowflake
and
Azure ADLS . The ideal candidate will bring deep expertise in data architecture, integration, and governance frameworks, along with the ability to align business needs with scalable and secure data platforms. While Salesforce knowledge (especially Salesforce Industries) and insurance industry experience are not mandatory, they are valuable assets for this role.
This is a
remote role with flexible location , but candidates must be able to
work in the California (PST) time zone .
Responsibilities
Lead the design and implementation of enterprise data architecture across Snowflake and Azure ADLS
Define and enforce data management, governance, and quality frameworks aligned with enterprise standards
Develop and optimize data models, data integration flows, and pipelines for scalability and performance
Establish and maintain best practices for security, compliance, metadata management, and access controls
Collaborate with business stakeholders, data engineers, and enterprise architects to ensure alignment with business and technical goals
Provide architectural leadership in integration of Salesforce Industries/Financial Services Cloud and other enterprise platforms into the data ecosystem
Drive performance optimization strategies for large-scale data sets and analytics workloads
Mentor technical teams and provide guidance on data architecture standards, tools, and methodologies
Support roadmap definition for enterprise data strategy, including cloud adoption, data lakehouse integration, and advanced analytics
Requirements
8+ years of experience in data architecture, with a proven track record in enterprise-scale projects
Strong expertise in Snowflake and Azure ADLS
Solid knowledge of data governance frameworks, master data management, and metadata practices
Hands-on experience with data modeling, ETL/ELT pipelines, and integration architecture
Deep understanding of security, compliance, and performance optimization in cloud-based data platforms
Experience collaborating with both technical and business stakeholders, translating needs into actionable data solutions
Leadership experience guiding teams and driving enterprise-wide data strategy initiatives
Salesforce knowledge (Industries/Financial Services Cloud) is a plus
Insurance industry experience is desirable but not required
Excellent communication and stakeholder management skills
Ability to work effectively in PST (California) time zone
#J-18808-Ljbffr
Data Architect
to lead the design and governance of enterprise data solutions, with a strong focus on
Snowflake
and
Azure ADLS . The ideal candidate will bring deep expertise in data architecture, integration, and governance frameworks, along with the ability to align business needs with scalable and secure data platforms. While Salesforce knowledge (especially Salesforce Industries) and insurance industry experience are not mandatory, they are valuable assets for this role.
This is a
remote role with flexible location , but candidates must be able to
work in the California (PST) time zone .
Responsibilities
Lead the design and implementation of enterprise data architecture across Snowflake and Azure ADLS
Define and enforce data management, governance, and quality frameworks aligned with enterprise standards
Develop and optimize data models, data integration flows, and pipelines for scalability and performance
Establish and maintain best practices for security, compliance, metadata management, and access controls
Collaborate with business stakeholders, data engineers, and enterprise architects to ensure alignment with business and technical goals
Provide architectural leadership in integration of Salesforce Industries/Financial Services Cloud and other enterprise platforms into the data ecosystem
Drive performance optimization strategies for large-scale data sets and analytics workloads
Mentor technical teams and provide guidance on data architecture standards, tools, and methodologies
Support roadmap definition for enterprise data strategy, including cloud adoption, data lakehouse integration, and advanced analytics
Requirements
8+ years of experience in data architecture, with a proven track record in enterprise-scale projects
Strong expertise in Snowflake and Azure ADLS
Solid knowledge of data governance frameworks, master data management, and metadata practices
Hands-on experience with data modeling, ETL/ELT pipelines, and integration architecture
Deep understanding of security, compliance, and performance optimization in cloud-based data platforms
Experience collaborating with both technical and business stakeholders, translating needs into actionable data solutions
Leadership experience guiding teams and driving enterprise-wide data strategy initiatives
Salesforce knowledge (Industries/Financial Services Cloud) is a plus
Insurance industry experience is desirable but not required
Excellent communication and stakeholder management skills
Ability to work effectively in PST (California) time zone
#J-18808-Ljbffr