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
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
Consulting
Lead enterprise data architecture and transformation initiatives for financial-services clients. Responsibilities include defining target-state architectures, operating models, roadmaps, integration patterns, data governance, platform strategies, and architectural standards. The role evaluates vendors and build-versus-buy decisions, leads workshops and delivery teams, communicates with executives, manages complex projects, develops internal intellectual property, and mentors consultants. Strong expertise in MDM, data modeling, integration, cloud data platforms, governance, quality, security, and asset and wealth management data is required.
Top Skills:
AgileAlationAmazon KinesisApi IntegrationAws GlueAzure Data FactoryAzure Event HubsAzure SynapseCluedinCollibraCurioumData MeshData ProductsData WarehousingDatabricksDbtEagle Dm/PaceEr/StudioErwinEtl/EltFivetranGoldensourceGresham/S&P/Markit EdmInformatica EdcKafkaLakehouse ArchitectureMaster Data Management (Mdm)Microsoft FabricProfiseeReltioSemarchySnowflakeTalend
Information Technology • Natural Language Processing • Software
Leads enterprise data architecture across Federal Student Aid’s Common Data Model, CRM platforms, servicer integrations, analytics, and downstream systems. Defines canonical models, systems of record, data contracts, integration patterns, governance, lineage, quality, security, privacy, and lifecycle controls. Develops reference architectures, decision records, modernization roadmaps, and data-flow designs; evaluates architectural tradeoffs; supports leadership reviews; collaborates across engineering, integration, security, analytics, product, and business teams; and mentors technical staff.
Top Skills:
Api GatewaysCommon Data ModelDatabricksDelta LakeEvent StreamingFedrampFismaMicrosoft DynamicsRest ApisSalesforceServicenow CsmUnity CatalogZero Trust
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering



