Fulltime - Principal Data Architect - Austin/Fort Mill/NY City/San Diego, CA (Hybrid)
Requirements:
• 10+ years of hands-on design and implementation experience in data architecture landscape
• Previous experience migrating legacy platforms to modern data platform
• 5+ years of experience in designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions.
• 3+ years of experience in the following technical disciplines: application development, middleware, database management or operations, security, integration
• Core Competencies:
• Proficiency in defining current and future state Data Architecture models.
• In depth knowledge of cloud data platforms AWS(Primary) and Azure(Secondary). At least one cloud certification is required.
• Experience and expertise in designing, implementing or maintaining the following: Master Data Management solutions, Data Marketplace solutions, Data Science Platforms and Productizing Data, Enterprise Analytics solutions.
• Experience/exposure with one or more Neural Networks, machine learning, deep learning and NLP tools and frameworks.
• Experience migrating monolith on-prem applications to the cloud using Refactoring, Rearchitecting and Re-platforming approaches, including 12-factor. At least one industry-recognized tool/framework/certification is required.
• Experience in DevOps tools, automated deployments and containerization. At least one industry-recognized tool/framework/certification is required.
• Excellent communication skills that translate business problems in technical solutions
• Consult with customers to solve business problems by adapting current technology and/or capitalizing on emerging technology for competitive advantage to meet the strategic objectives of M&A
• Conduct demonstrations and presentations to executive management of prototypes and proof of-concepts.
• Understanding of agile methods (SAFe) and processes, and capability of supporting agile product teams by providing advice and guidance on opportunities, impact and risks, taking account of technical and architectural debt
Preferences:
• More than 5+ years of experience in designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions is highly preferred
• Previous proven Data Architecture experience to include contributing to and/or progressing the following: Enterprise Data Modeling, Information Architecture Modeling, Information Analysis Modeling, Physical Data Modeling, Enterprise Data Governance Functions and Frameworks - Standards, Policies, Processes, QA, Enterprise Data Technology Landscape, Enterprise Information Analysis Maps, Reference, Master, Meta Data and Document Practices, Data Virtualization, Data Streaming, Operational Data Store, Data Warehouse, Data Management
• Practice including Stewardship and Life Cycle Management
• AWS Certification
• DevOps Certification
• Application Portfolio Rationalization Certification
• Data Security Certification
Apply Now
Apply Now
• 10+ years of hands-on design and implementation experience in data architecture landscape
• Previous experience migrating legacy platforms to modern data platform
• 5+ years of experience in designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions.
• 3+ years of experience in the following technical disciplines: application development, middleware, database management or operations, security, integration
• Core Competencies:
• Proficiency in defining current and future state Data Architecture models.
• In depth knowledge of cloud data platforms AWS(Primary) and Azure(Secondary). At least one cloud certification is required.
• Experience and expertise in designing, implementing or maintaining the following: Master Data Management solutions, Data Marketplace solutions, Data Science Platforms and Productizing Data, Enterprise Analytics solutions.
• Experience/exposure with one or more Neural Networks, machine learning, deep learning and NLP tools and frameworks.
• Experience migrating monolith on-prem applications to the cloud using Refactoring, Rearchitecting and Re-platforming approaches, including 12-factor. At least one industry-recognized tool/framework/certification is required.
• Experience in DevOps tools, automated deployments and containerization. At least one industry-recognized tool/framework/certification is required.
• Excellent communication skills that translate business problems in technical solutions
• Consult with customers to solve business problems by adapting current technology and/or capitalizing on emerging technology for competitive advantage to meet the strategic objectives of M&A
• Conduct demonstrations and presentations to executive management of prototypes and proof of-concepts.
• Understanding of agile methods (SAFe) and processes, and capability of supporting agile product teams by providing advice and guidance on opportunities, impact and risks, taking account of technical and architectural debt
Preferences:
• More than 5+ years of experience in designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions is highly preferred
• Previous proven Data Architecture experience to include contributing to and/or progressing the following: Enterprise Data Modeling, Information Architecture Modeling, Information Analysis Modeling, Physical Data Modeling, Enterprise Data Governance Functions and Frameworks - Standards, Policies, Processes, QA, Enterprise Data Technology Landscape, Enterprise Information Analysis Maps, Reference, Master, Meta Data and Document Practices, Data Virtualization, Data Streaming, Operational Data Store, Data Warehouse, Data Management
• Practice including Stewardship and Life Cycle Management
• AWS Certification
• DevOps Certification
• Application Portfolio Rationalization Certification
• Data Security Certification
Apply Now
Apply Now