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Solutions Architect
2 months ago
We are seeking a highly skilled Solutions Architect - Data Engineering Expert to join our team at Databricks. As a key member of our Field Engineering organization, you will play a critical role in designing and implementing scalable data architectures using Databricks technology and services.
Key Responsibilities- Partner with customers to understand their business needs and design data solutions that meet their requirements.
- Develop and present technical account plans to establish the Databricks Lakehouse architecture as the standard data architecture for customers.
- Build and present reference architectures and demo applications to help customers understand how Databricks can be used to achieve their goals.
- Capture technical wins by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects.
- Validate integrations with cloud services and other 3rd party applications.
- Become an expert in and promote Databricks-inspired open-source projects across developer communities.
- 5+ years of experience in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies:
- Big data engineering (e.g. Spark, Hadoop, Kafka)
- Data Warehousing & ETL (e.g. SQL, OLTP/OLAP/DSS)
- Data Science and Machine Learning (e.g. pandas, scikit-learn, HPO)
- Data Applications (e.g. Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
- Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
- Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
- Fluent in SQL and database technology.
- Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
- [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP.
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).
- Travel to customers in your region up to 30% of the time.
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit this link.
Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
