About this role
Pacific Life seeks a VP Enterprise Data Architect to define and execute enterprise data architecture direction for an AI-first data ecosystem. The role leads the design and implementation of scalable cloud data platforms, ensures architecture standards are followed, and manages a team of data architects while partnering with data engineering and science teams.
Key Responsibilities
- Manage the data architecture team and provide mentorship and guidance
- Define and execute the enterprise data architecture roadmap aligned with data strategy
- Design and implement scalable cloud-based data solutions leveraging streaming and machine learning
- Establish and enforce data architecture patterns for sourcing, landing, transformation, and data access
- Lead data integration and data modernization efforts and troubleshoot data environment incidents using root cause analysis
Technical Overview
The VP Enterprise Data Architect will design and implement data platforms supporting real-time and batch processing for analytics, AI/ML, and business intelligence use cases. They will lead data integration for structured, semi-structured, and unstructured sources across hybrid cloud and on-premises environments and modernize legacy data systems using platforms such as Amazon Web Services (AWS) and Snowflake.
Ideal Candidate
The ideal candidate is an enterprise data architecture executive who can set direction for an AI-first data ecosystem and lead a data architecture roadmap aligned to business goals. They have hands-on experience designing scalable cloud-based data platforms using real-time and batch processing, leading data integration across structured/semi-structured/unstructured sources, and modernizing legacy systems to platforms such as Amazon Web Services (AWS) and Snowflake.
Must-Have Skills
Set the direction and vision for the technologies that support various business units at Pacific LifeManage the architecturedesigndevelopmentand implementation of data solutionsGuide a team of data architectsEnsure data architecture practicesstandardsand approaches are adhered to and refinedDefine and execute the data architecture roadmap and vision aligned with data strategy and business objectivesDesign and implement data solutions leveraging cloudstreamingand machine learningEstablish and enforce data architecture patternstools and technologies (data sourcinglandingtransformationand data access capabilities)Lead data integration across structuredsemi-structuredand unstructured sourcesCollaborate to migrate legacy data systems to modern cloud platforms
Tools & Platforms
Amazon Web Services (AWS)Snowflakecloudstreamingmachine learning
Required Skills
data architectureAI-first data ecosystemdata strategy alignmentdata architecture roadmapcloudstreamingmachine learningdata solutionsdata architecture patternsdata sourcinglandingtransformationdata access capabilitiesEnterprise Architecture standardsroot cause analysisproof of conceptspilotsdata platforms designreal-time data processingbatch data processinganalyticsAI/MLbusiness intelligencedata integrationstructured datasemi-structured dataunstructured datadata consistencydata qualitydata availabilityhybrid environmentscloud and on-premisesdata modernizationmigrate legacy data systemsAmazon Web Services (AWS)Snowflakedata architects team managementmentorshiptechnical guidancecommunicate data architecture strategies
Hard Skills
data architectureAI-first data ecosystemdata strategy alignmentarchitecture roadmap executiondata solutionscloudstreamingmachine learningdata architecture defined patternstools and technologiesdata sourcinglandingtransformationdata access capabilitiesEnterprise Architecture standardsroot cause analysisdata environment troubleshootingproof of conceptspilotsdata platforms designreal-time data processingbatch data processinganalyticsAI/MLbusiness intelligence use casesdata integrationstructured datasemi-structured dataunstructured datadata consistencydata qualitydata availabilityhybrid environmentscloud and on-premisesdata modernizationmigrate legacy data systemsAmazon Web Services (AWS)Snowflakedata architects team managementmentorshiptechnical guidancecommunicate data architecture strategies
Soft Skills
leadershipmentorshiptechnical guidancecross-functional collaborationcommunication to senior managementcommunication to business userscommunication to technical teamsproblem-solvingpresenting strategies and solutionsstakeholder alignment
Keywords for Your Resume
VP Enterprise Data ArchitectVPData ArchitectEnterprise Data Architectdata architecturedata architecture roadmapdata strategyAI-first data ecosystemcloudstreamingmachine learningAI/MLdata solutionsdata platformsreal-time data processingbatch data processinganalyticsbusiness intelligencedata integrationstructured datasemi-structured dataunstructured datadata consistencydata qualitydata availabilityhybrid environmentscloud and on-premisesdata modernizationmigrate legacy data systemsAmazon Web Services (AWS)Snowflakeproof of conceptspilotsroot cause analysisdata architectsEnterprise Architecture standards
Deal Breakers
Must demonstrate enterprise data architecture leadership including roadmap ownership, Must demonstrate experience with cloud-based data platforms and real-time and batch processing, Must demonstrate experience integrating structured, semi-structured, and unstructured data sources
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