11 часов назад
Principal Data Architect (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Architect (Databricks): Define governed Databricks adoption roadmaps and implement priority data, analytics, AI, and machine learning use cases with enterprise clients with an accent on lakehouse architecture, Unity Catalog, semantic layers, and self-service enablement. Focus on designing scalable data standards, translating delivery requirements into platform guardrails, and coaching client teams toward production-ready, self-service platforms.
Location: Mexico; 100% remote work with up to 25% travel depending on business needs.
Company
is an AI-first cloud services company and AWS Premier Tier Services Partner focused on cloud modernization, generative and agentic AI, data platforms, DevOps, security, and managed services.
What you will do
- Define client Databricks adoption roadmaps, platform guardrails, self-service maturity models, and use-case prioritization approaches.
- Embed with client business and engineering teams to implement high-priority data, analytics, AI, and machine learning use cases.
- Translate delivery needs into platform feature requests, governance standards, and guardrail requirements.
- Shape pre-sales and scoping activities as a data engineering subject-matter expert.
- Coach client architects, engineers, and business-embedded technologists on Databricks patterns and self-service tooling.
- Develop data standards, operating procedures, semantic layers, and lineage capabilities while mentoring architects and engineers.
Requirements
- 10 years of experience designing and building complex data systems.
- 5+ years of deep, hands-on Databricks experience and at least 4 years in the AWS data landscape.
- Expertise in Databricks workspace and persona architecture, Unity Catalog, lakehouse patterns, orchestration, governance, and AI/ML tooling.
- Experience with relational databases, transactional and analytical data modeling, BI, data governance, MDM, Spark, streaming, NoSQL, machine learning, MLOps, GenAI foundation models, and DataOps.
- Experience with at least two of Infrastructure as Code, CI/CD, and Python for analytics or automation; Terraform is preferred.
- Strong communication, documentation, business acumen, ambiguity tolerance, and forward-deployed delivery experience.
Nice to have
- Experience with platform-and-use-case hub-and-spoke delivery models.
- Background in consulting, systems integration, or professional services.
- Familiarity with SOW-based, time-and-materials delivery and scope management.
Culture & Benefits
- 100% remote work with a worldwide team.
- Medical insurance for employees and eligible dependents.
- Generous holidays, flexible PTO, and competitive phantom equity.
- Paid exams and certifications, professional development plans, and annual learning and development stipends.
- Peer bonus awards, laptop and tools, and equipment and office stipends.
- Visa sponsorship is not available now or in the future.
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