2 дня назад
Enterprise Data & AI Architect
123 200 - 164 333$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise Data & AI Architect (Data Architecture/AI): Defining and advancing enterprise data and AI architecture strategies while building scalable data platforms, pipelines, integrations, and production AI solutions with an accent on governance, metadata management, data lineage, and high-volume processing. Focus on architecting AI-driven automation, designing API-based integrations, tuning data pipelines, and guiding cross-functional teams through complex enterprise architecture decisions.
Location: St Paul, Minnesota, United States. The position operates in a professional office environment and also supports remote work through a flexible workplace arrangement, with approximately 10% occasional business travel.
Salary: $123,200–$164,333.33 annually, with the final offer based on location, experience, and skills.
Company
is a corporation with a people-first, results-driven culture focused on professional growth and business advancement.
What you will do
- Define enterprise data architecture, metadata management, governance standards, frameworks, and technical strategies.
- Build data lineage frameworks and maintain data models, warehouses, pipelines, integrations, and high-volume processing platforms.
- Evaluate, design, and deliver production AI solutions, document intelligence platforms, and AI-driven business process automation.
- Architect API-driven integrations across ERP, procurement, finance, CRM, and other enterprise platforms.
- Optimize data and information flows while balancing accessibility, security, compliance, and governance.
- Provide technical leadership, mentoring, roadmap guidance, and architectural direction across engineering and business teams.
Requirements
- Bachelor's degree in engineering, computer science, or a related field, or equivalent education and experience.
- At least 7 years of experience in data architecture, data engineering, AI architecture, and AI/ML solution delivery.
- Experience designing and delivering production AI solutions.
- Experience with data warehousing, integration, documentation, and tools such as Azure Synapse, BigQuery, Snowflake, Informatica, Gemini, GPT, and Google Document AI.
- Strong Python and SQL skills, with proficiency in API-driven enterprise systems integration.
- Expertise in data governance, metadata management, lineage frameworks, AI solution frameworks, model lifecycle concepts, communication, facilitation, and technical leadership.
Culture & Benefits
- Full medical, dental, and vision coverage with an integrated wellness program.
- 401(k) matching retirement savings plan.
- Paid time off, holiday pay, floating holidays, and volunteer time off.
- Educational assistance and fully paid parental and adoption leave.
- Employee assistance program and Patterson Perks program.
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