6 дней назад
Delivery Solutions Architect - Digital Native Business (Data & AI)
180 000 - 247 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Delivery Solutions Architect - Digital Native Business (Data & AI): Designing and delivering secure, governed, and scalable Databricks data and AI architectures for complex customer use cases with an accent on technical strategy, architecture, and measurable business outcomes. Focus on building prototypes, validating production-ready solutions, optimizing security, performance, reliability, and cost, and aligning customer, partner, and internal teams.
Location: United States; travel up to 30% as needed
Salary: $180,000–$247,500 USD annually
Company
Databricks is a data and AI company providing a unified platform for data engineering, analytics, AI applications, agents, and governance.
What you will do
- Define technical execution strategies across complex customer use cases and multiple workstreams.
- Lead architecture discussions and advise customer technical leads, architects, and senior stakeholders.
- Design secure, governed, scalable, and production-ready Databricks architectures.
- Build and demonstrate working solutions, prototypes, and reusable technical assets.
- Drive adoption, consumption, delivery, and measurable business outcomes through technical leadership.
- Align Databricks, customer, partner, and implementation teams while managing risks and mentoring peers.
Requirements
- 5+ years of experience in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role.
- Strong coding proficiency in Python, SQL, Scala, or similar languages.
- Deep knowledge of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures.
- Experience designing secure, governed, scalable, and production-ready data solutions.
- Strong stakeholder management and cross-functional leadership skills, including the ability to influence without formal authority.
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Nice to have
- Databricks experience or certification.
- Expertise in AI/ML, data engineering, streaming, data warehousing, governance, or migrations.
- Experience with AWS, Azure, or GCP and production cloud deployments.
- Experience creating reusable technical frameworks, demos, or enablement materials.
Culture & Benefits
- Comprehensive benefits and perks, with details varying by region.
- Inclusive hiring practices and a diverse workplace.
- Annual performance bonus and equity may be included in the compensation package.
Hiring process
- Recruiter screen and hiring manager screen.
- Design and architecture interview followed by live coding.
- Build, demo and pitch, followed by a reference check.
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