4 часа назад
Principal Data Architect (Databricks)
165 000 - 185 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Architect (Databricks): Leading enterprise Databricks data platform engagements, defining adoption roadmaps, governance guardrails, semantic layers, and self-service use cases with an accent on lakehouse architecture, data engineering, AI/ML, and client enablement. Focus on implementing priority production pipelines alongside client teams, standardizing platform practices, and translating delivery feedback into scalable platform capabilities.
Location: USA; fully remote work with up to 25% travel depending on business needs
Base salary: $165,000–$185,000 per year, plus potential bonuses, commissions, equity, and other incentives.
Company
is an AI-first cloud services company helping organizations modernize technology, build intelligent products, and move AI solutions into production through AWS, Anthropic Claude, cloud, data, DevOps, security, and managed services expertise.
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 use cases and production pipelines.
- Translate delivery requirements into platform feature requests and governance requirements for foundation teams.
- Shape pre-sales and scoping engagements, including technical approach and staffing.
- 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 the architecture and engineering practice.
Requirements
- 10 years of experience designing and building complex data systems.
- 5+ years of deep, hands-on Databricks experience, including workspace and persona architecture, Unity Catalog, lakehouse patterns, orchestration, governance, and AI/ML tooling.
- At least 4 years of experience in the AWS data landscape.
- Experience with relational databases, transactional and analytical data modeling, BI, data governance and 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 and automation; Terraform is preferred.
- Forward-deployed or embedded delivery experience, strong communication, business acumen, documentation discipline, and tolerance for ambiguity.
Nice to have
- Experience with a platform-and-use-case hub-and-spoke delivery model.
- Background in consulting, systems integration, or professional services.
- Familiarity with SOW-based, time-and-materials delivery and scope management.
Culture & Benefits
- 100% remote work within the USA with a globally distributed workforce.
- Medical, dental, vision, disability, life, and flexible spending insurance benefits.
- 401(k) plan with company match up to 4% and immediate vesting.
- Competitive phantom equity, company laptop, and equipment and office stipend.
- Annual learning and development stipend, unlimited paid time off after a 90-day probationary period, and 10 paid holidays.
Hiring process
- Technical interviews may be conducted for architecture and engineering candidates as part of the recruitment process.
- AI or automated tools may assist with application screening and evaluation, while final decisions remain with trained recruitment professionals.
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