Data Architect – Enterprise Data & Governance (GCP)
Контакты
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aidata engineeringmongodbgcpdata modelingbigquerydata architecturedata governancepostgresqldataflow
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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75
Хорошая вакансия
развернуть
Хорошо структурированная вакансия уровня Senior с четким фокусом на GCP и корпоративное управление данными, хотя работа предполагает модель аутсорсинга.
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Аутсорсинговая модельСовременный стек GCPЧеткие обязанности
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Architect – Enterprise Data & Governance (GCP): Designing enterprise data architecture, governance standards, data models, and integration strategies with an accent on cloud data technologies, data quality, and database design. Focus on aligning current- and future-state architectures, guiding cross-functional stakeholders, and applying AI to data engineering and modeling.
Location: Dearborn, Michigan, United States; hybrid work; full-time, 40 hours per week
Company
hirify.global provides technology services and collaborates with clients on enterprise technology initiatives.
What you will do
Translate business capabilities into solution concepts, architectural models, and functional and technical requirements.
Develop and maintain data, information, process, solution, application, service, technology, and infrastructure architecture artifacts.
Define data architecture strategies, technology patterns, design principles, standards, blueprints, and roadmaps.
Drive enterprise data integration, information management, data standards, data quality, and governance initiatives.
Design and evaluate integration strategies and current-state and future-state architecture models across enterprise systems.
Guide project teams and stakeholders, facilitate architecture governance, evaluate innovations, and support technology planning and portfolio prioritization.
Requirements
10+ years of Information Technology experience.
5+ years of experience in information architecture, data architecture, data engineering, or advanced database design and modeling.
Experience designing or implementing OLTP/RDBMS databases, data warehouses, and data marts.
4+ years of hands-on experience creating data models with data modeling tools such as PowerDesigner.
Knowledge of Master Data Management concepts and tools, data architecture, data analysis, data integrity, data governance, data modeling, data warehousing, database technologies, and data management.
Experience with Google Cloud Platform technologies, including BigQuery, AlloyDB, PostgreSQL, Cloud Run, MongoDB, and Dataflow.
Experience defining and implementing data quality initiatives, plus knowledge of AI capabilities and applying AI to data engineering and data modeling.
Bachelor’s degree and certification program.
Nice to have
Experience with Master Data Management, enterprise architecture, and .NET Core.
Functional and architecture experience with PLM platforms such as Siemens Teamcenter or Dassault Systèmes 3DEXPERIENCE.
Knowledge of TOGAF, the DAMA architecture framework, and related standards.
Ability to define data architecture principles, guidelines, and standards, with expertise in interoperability standards and methods.
Leadership experience working with senior-level management to support decision-making.
Ability to manage multiple projects, develop work plans, resolve ambiguity, build consensus, and self-manage.
Culture & Benefits
Collaboration with experts, clients, and high-performing teams.
Long-term career growth and opportunities to develop skills in emerging technologies.
Benefits may include medical, dental, and vision coverage; paid time off; paid holidays; 401(k) matching; life and disability insurance.
Professional development, wellness programs, and other perks.
Inclusive workplace committed to equal opportunity, diversity, dignity, and respect.
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