Technical Data Architect
Apply NowCompany: Navtech, Inc.
Location: Washington, DC 20011
Description:
Responsibilities
Deliver thought-leadership, turning abstract and logical concepts into IT solutions, which are usable, integrated and secure from day-one
Develop architectural runway for Safe Program Increment (PI) and Sprint planning for enterprise initiatives
Identity, architect and align:
Development tools and languages for front-end (Web, Android and Apple iOS) and server-side solutions
Patterns and best-practices for multi-tiered distributed applications, integration, information security
Globally distributed and accessed multi-tenant applications
Property-graph, NoSQL and Relational database design, Discrete and streaming data ingress, storage and archive
Patterns and best-practices to establish data pipeline with data snapshots
DevOps tools, and tool-chaining to achieve end-to-end automation
Big-data techniques, leading to rapid integration with machine-learning and related AI tools
Experience or knowledge in Azure Cloud architecture, design and development practices enabling:
Multi-experience App architecture: Cloud-native app stack, Web and Mobile app stack
Data architecture patterns and practices
Microservices and Micro frontend architecture, APIs, Services
Event-driven architecture, Agile practices, DevSecOps, Continuous Integration and Continuous Delivery
Modernizing legacy application architecture patterns
Participate with SMEs and Information Technology team members in the development of system solution architecture of applications and technology components. These activities will include:
Evaluating services and applications, with proof-of-concepts and desktop exercises
Preparing material for Change Management and communication, vendor engagements such as statement of work
Leading prototyping activities related to IT processes, tools and software development based on future-state process definition, gap analysis, application requirements and associated software development
Leading the development of future state patterns and tools enabling rapid development of data centric solutions
Leading solution design and development of highly-performing business applications
Basic Qualifications
Bachelor's degree in Computer Science, Computer Engineering, CIS, MIS or another field of study
10+ years functional, Information Systems and Technology (IS&T) or automation experience in the EPC or related industries.
Have deep technical understanding, in-depth knowledge and experience in one or more of the following technologies:
Azure Cloud services: Web and Mobile Apps, Databases, Integration, Developer Tools SQL, NoSQL, Neo4j Graph, Triple Store and Document databases
MDM: Master, Reference and Metadata Management, Data Quality, Integration, Interoperability
Business Process Automation, Process Orchestration and integration with UI/UX, Smart Machines
Identity and Access Management: authentication, authorization
EPC industry applications and tools
Hands on experience in designing, coding, coaching and implementing one or more of the following technologies and languages:
Azure PaaS services for cloud-native App development
NodeJS, JavaScript, ReactJS, Kotlin, .NET, Java, Python, JSON, JSON-LD, GraphQL
Mobile, web and server-side development patterns
BPMN 2.0, workflow engines
Integration and interoperability
Experience and or understanding of data-centric design and execution
Strong communication skills
Ability to think out of the box and questioning everything
Preferred Qualifications & Skills
Data Engineering experience develop and implement data models, database design, query plan and database components, with experience in:
Data Quality for data ingress in data pipeline
Data models for Property-Graph databases
Master, Reference and Metadata Management, Data Integration and Interoperability
Query Languages for Property-Graph (Neo4j Cypher) or Knowledge-Graph, NoSQL, and Relational databases
Large Data technologies with Azure Data Factory, Databricks
Good understanding of the information lifecycle of project data - how information is exchanged between functions/disciplines and ownership of data transitions throughout the life of a project.
Excellent automation skills. Good understanding of the link between work process and tools. Strong skills around using tools to create, view and edit data.
Technical knowledge of functional processes and systems, processes, and applications for engineering and construction methods and materials, usage of engineering applications to produce deliverables.
Knowledge of data governance, master data management, and data quality.
Knowledge of Semantic Web, ontologies and associated technologies.
Knowledge of enterprise systems monitoring and service level management.
Knowledge of Design Thinking.
Deliver thought-leadership, turning abstract and logical concepts into IT solutions, which are usable, integrated and secure from day-one
Develop architectural runway for Safe Program Increment (PI) and Sprint planning for enterprise initiatives
Identity, architect and align:
Development tools and languages for front-end (Web, Android and Apple iOS) and server-side solutions
Patterns and best-practices for multi-tiered distributed applications, integration, information security
Globally distributed and accessed multi-tenant applications
Property-graph, NoSQL and Relational database design, Discrete and streaming data ingress, storage and archive
Patterns and best-practices to establish data pipeline with data snapshots
DevOps tools, and tool-chaining to achieve end-to-end automation
Big-data techniques, leading to rapid integration with machine-learning and related AI tools
Experience or knowledge in Azure Cloud architecture, design and development practices enabling:
Multi-experience App architecture: Cloud-native app stack, Web and Mobile app stack
Data architecture patterns and practices
Microservices and Micro frontend architecture, APIs, Services
Event-driven architecture, Agile practices, DevSecOps, Continuous Integration and Continuous Delivery
Modernizing legacy application architecture patterns
Participate with SMEs and Information Technology team members in the development of system solution architecture of applications and technology components. These activities will include:
Evaluating services and applications, with proof-of-concepts and desktop exercises
Preparing material for Change Management and communication, vendor engagements such as statement of work
Leading prototyping activities related to IT processes, tools and software development based on future-state process definition, gap analysis, application requirements and associated software development
Leading the development of future state patterns and tools enabling rapid development of data centric solutions
Leading solution design and development of highly-performing business applications
Basic Qualifications
Bachelor's degree in Computer Science, Computer Engineering, CIS, MIS or another field of study
10+ years functional, Information Systems and Technology (IS&T) or automation experience in the EPC or related industries.
Have deep technical understanding, in-depth knowledge and experience in one or more of the following technologies:
Azure Cloud services: Web and Mobile Apps, Databases, Integration, Developer Tools SQL, NoSQL, Neo4j Graph, Triple Store and Document databases
MDM: Master, Reference and Metadata Management, Data Quality, Integration, Interoperability
Business Process Automation, Process Orchestration and integration with UI/UX, Smart Machines
Identity and Access Management: authentication, authorization
EPC industry applications and tools
Hands on experience in designing, coding, coaching and implementing one or more of the following technologies and languages:
Azure PaaS services for cloud-native App development
NodeJS, JavaScript, ReactJS, Kotlin, .NET, Java, Python, JSON, JSON-LD, GraphQL
Mobile, web and server-side development patterns
BPMN 2.0, workflow engines
Integration and interoperability
Experience and or understanding of data-centric design and execution
Strong communication skills
Ability to think out of the box and questioning everything
Preferred Qualifications & Skills
Data Engineering experience develop and implement data models, database design, query plan and database components, with experience in:
Data Quality for data ingress in data pipeline
Data models for Property-Graph databases
Master, Reference and Metadata Management, Data Integration and Interoperability
Query Languages for Property-Graph (Neo4j Cypher) or Knowledge-Graph, NoSQL, and Relational databases
Large Data technologies with Azure Data Factory, Databricks
Good understanding of the information lifecycle of project data - how information is exchanged between functions/disciplines and ownership of data transitions throughout the life of a project.
Excellent automation skills. Good understanding of the link between work process and tools. Strong skills around using tools to create, view and edit data.
Technical knowledge of functional processes and systems, processes, and applications for engineering and construction methods and materials, usage of engineering applications to produce deliverables.
Knowledge of data governance, master data management, and data quality.
Knowledge of Semantic Web, ontologies and associated technologies.
Knowledge of enterprise systems monitoring and service level management.
Knowledge of Design Thinking.