The Enterprise Data Architect develops and optimizes database solutions, migrating data, conducting tests, and ensuring information system functionality.
Company Description
Orchestrated by adept technical architects with over fifty years of applied expertise, KYNITE is an advanced technology company specializing in the disciplines of: Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services
- We are BigData Experts
- We are Cloud Experts
- We are Enterprise Architects
- We are Artificial Intelligence Innovators
- We are Technological Evangelists
- We are Doers
- We are Kynite
- Develop database solutions to store and retrieve company information
- Install and configure information systems to ensure functionality
- Analyze structural requirements for new software and applications
- Migrate data from legacy systems to new solutions
- Design conceptual and logical data models and flowcharts
- Improve system performance by conducting tests, troubleshooting and integrating new elements
- Optimize new and current database systems
- Define security and backup procedures
- Coordinate with the Data Science department to identify future needs and requirements
- Provide operational support for Management Information Systems (MIS)
10+ years of Data Platform and Data Application hands-on experience
Additional InformationAll your
- This job is only for individuals residing in US
- US Citizens, Green Card holders, EAD's can apply
- W2
information will be kept confidential according to EEO guidelines.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads enterprise data warehouse, reporting, analytics, and transaction-processing architecture and modernization. Designs scalable on-premises and cloud solutions, modernizes ETL and SQL into Python automation, oversees BI delivery, and establishes DevOps and CI/CD practices. Provides hands-on technical leadership across development, testing, deployment, performance, security, and support. Leads proof-of-concepts, produces architecture documentation, presents recommendations, and mentors architects, engineers, developers, analysts, and testers.
Top Skills:
APIsAzure Data FactoryAzure Data Lake StorageAzure DevopsBusinessobjectsCi/CdDatabricksEltETLInformaticaLinuxAzurePower BIPythonSASSnowflakeSQLTableauTeradataUnix
Cloud • Software • Analytics
Defines and governs enterprise data and integration architecture across Microsoft Fabric, Azure, data lakes, warehouses, and business systems. Designs integration patterns, data models, governance, security, monitoring, continuity, and disaster recovery strategies. Guides engineering and vendor teams, translates business requirements into technical roadmaps, supports testing and quality standards, and integrates AI/ML and GenAI capabilities. Requires strong expertise in Microsoft data technologies, Power BI, DAX, SQL, Python, PySpark, enterprise integrations, and cloud ERP or CRM systems.
Top Skills:
Ai ApisAi/MlAzureAzure Data LakeCi/CdCopilotData LakeData PipelinesData WarehouseDaxEnterprise Data WarehouseEtl/EltGenaiGitJIRALlmsMicrosoft FabricNetSuitePower BIPower QueryPrompt EngineeringPysparkPythonSalesforceSap S/4HanaSdlcSQL
Logistics
Leads enterprise data platform engineering and architecture across OCI, GCP, and Azure. Owns the modern data and AI operating system, metadata control plane, data catalog, security model, observability, and AI infrastructure including vector databases, knowledge graphs, feature stores, and RAG pipelines. Guides platform engineering standards, modernizes legacy ETL, establishes GitOps and Data-as-Code practices, and mentors global technical teams while presenting architecture to executive stakeholders.
Top Skills:
AbacActive DirectoryApache AirflowApache IcebergAzureConfluentDatabricksDelta LakeDockerFeature StoresGCPGeminiGithub ActionsGitlab CiGitopsGoldengateKafkaKnowledge GraphsKubernetesOciOktaOracle Adw 23C/26AiPythonRagRlsSQLTerraformVector Databases
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
