2 дня назад
Solutions Architect - Hunter (Communications, Media, Entertainment and Games)
180 000 - 247 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Architect - Hunter (Communications, Media, Entertainment and Games) (Data, AI, and Cloud Platforms): Leading technical strategy and designing production-grade solutions across data engineering, ML/AI, real-time analytics, and cloud-native platforms with an accent on scalable distributed systems, customer architecture, and platform adoption. Focus on architecting streaming and lakehouse solutions, solving complex technical trade-offs, driving competitive technical wins, and building live-coded demonstrations for senior stakeholders.
Location: United States
Salary: $180,000–$247,500 USD per year, plus potential annual performance bonus, equity, and benefits.
Company
Databricks is a data and AI company providing a unified platform for data engineering, machine learning, analytics, applications, and governance.
What you will do
- Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
- Lead architecture discussions and design scalable solutions across data engineering, ML/AI, real-time analytics, and cloud-native platforms.
- Advise customer architects, engineering leads, and directors on technical strategy and business value.
- Drive competitive technical wins through custom-built Databricks solutions and platform adoption.
- Develop a technical specialization in an area such as streaming, ML/AI, data governance, or migrations.
- Coordinate DSAs, SSAs, partners, and product feedback to address complex customer requirements.
Requirements
- 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong Python and SQL skills, including live coding, debugging, and solution building.
- Deep knowledge of distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance.
- Ability to lead whiteboarding sessions, design reviews, trade-off analysis, and discussions with senior technical stakeholders.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
Nice to have
- Databricks certifications in data engineering, machine learning, or platform technologies.
- Experience with Snowflake, AWS native services, or Azure Synapse.
- Background in a data/AI company or cloud provider.
- Industry expertise in financial services, healthcare, retail, media, or related sectors.
Culture & Benefits
- Comprehensive benefits and perks tailored to the employee’s region.
- Potential annual performance bonus and equity eligibility.
- Commitment to diversity, inclusion, and equal employment opportunity.
Hiring process
- Recruiter screen followed by a hiring manager screen.
- Design and architecture interview, live coding assessment, and Build, Demo, Pitch! presentation.
- Reference check.
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