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
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
Logistics
Lead architecture and implementation of a global enterprise Data & AI Operating System across multi-cloud environments. Define metadata control planes, data catalog, lineage, data quality, GitOps-based platform engineering, enterprise AI/ML infrastructure (vector DBs, knowledge graphs, feature stores, RAG/LLM integrations), security models (ABAC, Okta/AD), and mentor platform engineering teams.
Top Skills:
AbacActive DirectoryApache AirflowApache IcebergAzureChange Data CaptureConfluentDatabricksDelta LakeDockerFeature StoresGCPGeminiGithub ActionsGitlab CiGitopsGoldengateKafkaKnowledge GraphsKubernetesOciOktaOracle AdwPythonRag PipelinesSQLTerraformVector Databases
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
