8 дней назад
Solutions Architect - Digital Native Business (Fintech)
180 000 - 247 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Solutions Architect - Digital Native Business (Fintech) (Databricks, Data & AI): Leading technical strategy and designing production-grade data, ML/AI, and real-time analytics solutions for digital-native fintech customers with an accent on distributed systems, cloud-native platforms, and platform adoption. Focus on architecture trade-off analysis, building scalable pipelines and streaming architectures, developing a technical specialization, and demonstrating solutions through live coding and technical presentations.
Location: New Jersey; remote work available from Illinois, Massachusetts, New York, North Carolina, Pennsylvania, or Texas.
Salary: $180,000–$247,500 USD annually, with potential bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and 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 platform adoption.
- Build custom solutions to demonstrate Databricks differentiation in competitive scenarios.
- Develop a technical specialization and coordinate DSAs, SSAs, and partners for complex customer engagements.
- 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 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 Databricks or the ability to become proficient rapidly, including developing specialization in areas such as streaming, ML/AI, governance, or migrations.
- Experience leading architecture discussions with senior stakeholders and deploying production systems on AWS, Azure, or GCP, including infrastructure, security, and governance.
- 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 at a data/AI company or cloud provider.
- Industry experience in financial services, insurance, banking, healthcare, pharmaceuticals, biotechnology, or medical devices.
Culture & Benefits
- Comprehensive benefits and perks, with details varying by region.
- Inclusive workplace committed to equal employment opportunity and diversity.
- Compensation may include annual performance bonus, equity, and regional benefits.
Hiring process
- Recruiter screen followed by hiring manager screen.
- Design and architecture interview, live coding assessment, and Build, Demo, Pitch! presentation.
- Reference check.
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