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
Cloud • Payments • Software
Own the enterprise architecture, standards, governance, and shared platforms for AI and data across seven business units. Design scalable agentic AI, multi-tenant SaaS, Snowflake data architecture, security, privacy, observability, cost controls, and responsible AI practices. Build architecture standards into development workflows, evaluate vendors, guide legacy modernization, and advise executives. The role is hands-on, with 60–80% of time spent building, while mentoring architects and engineers.
Top Skills:
Ai Agent FrameworksAPIsCi/CdDatadogLlmsModel Context Protocol (Mcp)OpentelemetryPolicy As CodeSnowflake
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
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
