17 дней назад
Solutions Architect (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 (Communications, Media, Entertainment and Games): Lead technical strategy and build scalable production solutions across data engineering, ML/AI, real-time analytics, and cloud-native data platforms with an accent on architecture leadership, platform adoption, and customer technical advisory. Focus on designing distributed data pipelines and streaming architectures, solving architecture trade-offs through whiteboarding and design reviews, and demonstrating Databricks solutions through custom builds and live coding.
Location: New Jersey; candidates in other locations will also be considered.
Salary: $180,000–$247,500 USD base salary or on-target earnings, depending on pay zone, plus potential bonus, equity, and benefits.
Company
Databricks provides a unified Data + AI Platform used to build and scale data applications, analytics, and AI agents.
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, production-grade solutions across data engineering, ML/AI, and real-time analytics.
- Advise customer architects, engineering leads, and directors on technical strategy and solution trade-offs.
- Drive technical wins with custom-built solutions that demonstrate Databricks differentiation.
- Develop a technical specialization and coordinate DSAs, SSAs, and partners to deliver complex solutions.
- Provide structured customer feedback to influence product direction.
Requirements
- 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong Python and SQL coding skills, including live coding, debugging, and solution building.
- Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Experience with the Databricks Platform or the ability to become proficient rapidly, with a developing specialization in areas such as streaming, ML/AI, governance, or migrations.
- Experience leading architecture discussions with senior technical stakeholders and deploying production systems on AWS, Azure, or GCP.
- 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, ML, 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 fields.
Culture & Benefits
- Comprehensive benefits and perks, with details varying by region.
- Potential annual performance bonus and equity eligibility.
- Inclusive workplace focused on equal employment opportunity and diversity.
- Global organization with more than 30 offices.
Hiring process
- Recruiter screen followed by hiring manager screen.
- Design and architecture interview and live coding assessment.
- Build, Demo, Pitch! presentation followed by a reference check.
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