Big Data Architect Lead
7 days ago
At Databricks, our customers face complex data challenges. As a Solutions Architect, you will lead the adoption of our Unified Analytics Platform. This role requires expertise in open-source projects like Apache Spark, MLflow, and Delta Lake to advocate for the Lakehouse paradigm on public cloud providers.
You will develop architectures and solutions using our platform and guide customers through implementations to deliver strategic business value. Your relationships with customers will establish you as a trusted advisor. Our culture thrives on collaboration and teamwork, and you will contribute your knowledge by participating in subject matter expert groups.
This customer-facing role involves providing technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks. You will consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
Key responsibilities include building and presenting reference architectures, technical guides, and demo applications for customers, as well as providing escalated support for critical customer operational issues. Additionally, you will become an expert in and evangelize Databricks-driven open-source projects across developer communities.
To succeed in this role, you should have 3+ years of experience in a customer-facing pre-sales, technical architecture, or consulting role. You must be comfortable designing and architecting distributed data systems and programming in at least one of Python, Scala, Java, SQL, or R.
AWS, Azure, or GCP experience is necessary, along with knowledge in at least one of the following: Data Engineering technologies, Data Warehousing, or Data Science and Machine Learning technologies. Travel to customers (up to 30%, of which 80%+ local to your region) may be required.
Requirements
- Customer-facing experience in pre-sales, technical architecture, or consulting
- Distributed data system design and architecture expertise
- Proficiency in Python, Scala, Java, SQL, or R programming languages
- AWS, Azure, or GCP cloud provider experience
- Data Engineering, Data Warehousing, or Data Science and Machine Learning technology knowledge
Salary Range: $139,700 — $247,300 USD per year
Databricks is committed to fair compensation practices. Actual compensation packages are based on several factors, including job-related skills, depth of experience, relevant certifications, and specific work location. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and benefits.
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