{"schemaVersion":"jobsearcher.job.v1","id":"56684e7e249edee97a2a54e4","url":"https://jobsearcher.com/jobs/56684e7e249edee97a2a54e4","canonicalUrl":"https://jobsearcher.com/jobs/56684e7e249edee97a2a54e4","title":"Data Solution Architect","description":"Our client seeks an Data Solution Architect for a Full Time project in Foster City, CA. Below is the detailed requirementJob Title: Data Solution ArchitectWork location : Foster City, CA Duration: Full TimeJob Summary:Hiring Data Engineering Lead with strong expertise in Databricks on AWS, MDM, and enterprise data integration. Lead the design and delivery of modern data platforms that enable trusted, governed, and scalable data consumption across business functions. Experience in cloud-based data engineering, middleware integrations, data governance, and enterprise-scale analytics solutions. Work closely with business, architecture, analytics, and engineering teams to drive data modernization initiatives. This role will be instrumental in enabling the enterprise data modernization journey. Establish a scalable and governed data foundation that supports advanced analytics, AI/ML initiatives, and business decision-making. Success in this role will directly improve data quality, consistency, and accessibility across critical business domains. The architecture and integration patterns defined by this role will serve as a foundation for future data and digital transformation programs.Job Description:Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience10+ years of experience in Data Engineering, Data Integration, or Data Platform delivery; hands-on experience with Databricks on AWS; Apache Spark, PySpark, Delta Lake, and Lakehouse architectureExperience designing and implementing enterprise-scale data pipelines; Strong understanding of AWS services such as S3, Glue, Lambda, Redshift, IAM, and CloudWatchHands-on experience with MDM implementations and integrations; Experience with data quality, data governance, lineage, and master data management processesStrong experience integrating enterprise systems using middleware platforms such as MuleSoft, Boomi, Kafka, or API-based integrationsExperience working with structured, semi-structured, and unstructured datasets; Strong SQL and Python development skillsExperience with Agile methodologies and DevOps practices; Experience leading distributed teams and managing stakeholder communicationsSkills / Tech Stack Snapshot - Databricks on AWS, Apache Spark, PySpark, Delta Lake, AWS S3, Glue, Lambda, Redshift, MDM Platforms (Informatica MDM, Reltio, Profisee or equivalent), Data Integration & ETL/ELT Frameworks, Middleware Technologies (MuleSoft, Boomi, Kafka, API-led Integrations), Data Warehousing & Data Lake Architecture, Data Governance, MDM, Data Quality & Metadata Management, SQL, Python, Azure DevOps, Jira, Confluence, CI/CD, Agile DeliveryJob / Role DescriptionLead the design and implementation of Databricks-based data platforms on AWS; Architect scalable Lakehouse solutions supporting enterprise analytics workloadsDesign and develop complex ETL/ELT pipelines using Databricks, Spark, and Cloud-native services; Drive MDM strategy, implementation, and integration across business applications and data platformsDefine data integration patterns using APIs, middleware, event-driven architectures, and messaging frameworks; Establish data governance, metadata management, and data quality frameworksCollaborate with business stakeholders to understand data requirements and translate them into technical solutions; Optimize data processing performance, scalability, and operational monitoringDefine CI/CD processes and deployment standards for data engineering assets; Mentor engineering teams and provide technical leadership throughout the project lifecycleSupport architecture reviews, solution design discussions, and technical decision-making; Ensure compliance with organizational standards, security requirements, and best practicesFacilitate architecture reviews, workshops, and stakeholder discussions; Ability to communicate complex technical concepts to business and executive stakeholders;Stakeholder Management – Build strong relationships with business, IT, and external partners; Manage competing priorities and drive consensus among stakeholders; Demonstrate customer-centric and consultative engagement skills.Leadership Skills – Lead cross-functional and geographically distributed teams; Mentor and guide engineers and junior architects; Influence technical decisions through collaborationProblem Solving & Analytical Thinking – Identify root causes of complex data and integration challenges; Evaluate multiple solution options and recommend optimal approaches; Strong troubleshooting and performance optimization capabilities","company":"Lorven Technologies","rawCompany":"lorven technologies","city":"Foster City","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-11T11:27:48.950Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Solution Architect","description":"Our client seeks an Data Solution Architect for a Full Time project in Foster City, CA. Below is the detailed requirementJob Title: Data Solution ArchitectWork location : Foster City, CA Duration: Full TimeJob Summary:Hiring Data Engineering Lead with strong expertise in Databricks on AWS, MDM, and enterprise data integration. Lead the design and delivery of modern data platforms that enable trusted, governed, and scalable data consumption across business functions. Experience in cloud-based data engineering, middleware integrations, data governance, and enterprise-scale analytics solutions. Work closely with business, architecture, analytics, and engineering teams to drive data modernization initiatives. This role will be instrumental in enabling the enterprise data modernization journey. Establish a scalable and governed data foundation that supports advanced analytics, AI/ML initiatives, and business decision-making. Success in this role will directly improve data quality, consistency, and accessibility across critical business domains. The architecture and integration patterns defined by this role will serve as a foundation for future data and digital transformation programs.Job Description:Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience10+ years of experience in Data Engineering, Data Integration, or Data Platform delivery; hands-on experience with Databricks on AWS; Apache Spark, PySpark, Delta Lake, and Lakehouse architectureExperience designing and implementing enterprise-scale data pipelines; Strong understanding of AWS services such as S3, Glue, Lambda, Redshift, IAM, and CloudWatchHands-on experience with MDM implementations and integrations; Experience with data quality, data governance, lineage, and master data management processesStrong experience integrating enterprise systems using middleware platforms such as MuleSoft, Boomi, Kafka, or API-based integrationsExperience working with structured, semi-structured, and unstructured datasets; Strong SQL and Python development skillsExperience with Agile methodologies and DevOps practices; Experience leading distributed teams and managing stakeholder communicationsSkills / Tech Stack Snapshot - Databricks on AWS, Apache Spark, PySpark, Delta Lake, AWS S3, Glue, Lambda, Redshift, MDM Platforms (Informatica MDM, Reltio, Profisee or equivalent), Data Integration & ETL/ELT Frameworks, Middleware Technologies (MuleSoft, Boomi, Kafka, API-led Integrations), Data Warehousing & Data Lake Architecture, Data Governance, MDM, Data Quality & Metadata Management, SQL, Python, Azure DevOps, Jira, Confluence, CI/CD, Agile DeliveryJob / Role DescriptionLead the design and implementation of Databricks-based data platforms on AWS; Architect scalable Lakehouse solutions supporting enterprise analytics workloadsDesign and develop complex ETL/ELT pipelines using Databricks, Spark, and Cloud-native services; Drive MDM strategy, implementation, and integration across business applications and data platformsDefine data integration patterns using APIs, middleware, event-driven architectures, and messaging frameworks; Establish data governance, metadata management, and data quality frameworksCollaborate with business stakeholders to understand data requirements and translate them into technical solutions; Optimize data processing performance, scalability, and operational monitoringDefine CI/CD processes and deployment standards for data engineering assets; Mentor engineering teams and provide technical leadership throughout the project lifecycleSupport architecture reviews, solution design discussions, and technical decision-making; Ensure compliance with organizational standards, security requirements, and best practicesFacilitate architecture reviews, workshops, and stakeholder discussions; Ability to communicate complex technical concepts to business and executive stakeholders;Stakeholder Management – Build strong relationships with business, IT, and external partners; Manage competing priorities and drive consensus among stakeholders; Demonstrate customer-centric and consultative engagement skills.Leadership Skills – Lead cross-functional and geographically distributed teams; Mentor and guide engineers and junior architects; Influence technical decisions through collaborationProblem Solving & Analytical Thinking – Identify root causes of complex data and integration challenges; Evaluate multiple solution options and recommend optimal approaches; Strong troubleshooting and performance optimization capabilities","datePosted":"2026-08-11T11:27:48.950Z","dateModified":"2026-08-11T11:27:48.950Z","hiringOrganization":{"@type":"Organization","name":"Lorven Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Foster City","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"56684e7e249edee97a2a54e4"},"url":"https://jobsearcher.com/jobs/56684e7e249edee97a2a54e4"}}