Databricks · AI infrastructure
Staff Technical Solutions Engineer, Data & AI
- São Paulo (Hybrid)
Still open on Databricks's site · checked just now
- Level
- Staff or principal
- Experience
- 8+ years
- Education
- Bachelor's degree
- Posted
What you'll do
As written by Databricks · Read the original
The impact you will have
- Be directly responsible for leading and driving technical solutions for a breadth of complex problems reported by Databricks customers, including escalated and critical scenarios.
- Deep Dive into code-level analysis and systems architecture of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
- Serve as a customer support advisor - be able to diffuse escalations during incidents directly with customer stakeholders, quickly find mitigations and solutions for advanced use cases, and be strategic at helping prevent future customer issues.
- Help make the Databricks products simpler to use and customer production environments more stable, such as by influencing Engineering and Backline Support teams to identify areas for product improvements.
- Be known as a deep technical expert and leader in the Databricks platform and productionizing systems, and mentor others in those areas to spread your knowledge.
Requirements
What we look for
- Minimum of 8 years of experience in designing, building, testing, and maintaining data pipelines. Relevant past Spark experience is mandatory.
- Expertise in SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran).
- 5 years of hands-on experience in developing two or more Big Data technologies, such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases.
- Around 3 years of hands-on experience as a technical lead on a Data & AI Engineering team, serving as the go-to person to resolve critical issues.
- Prior Support or customer-facing experience is not required for this role, but proven ability to influence cross-functionally is, such as with internal stakeholders or engineering teams.
- Preferably: Hands-on experience with public cloud (AWS, Azure, or GCP).
- Technical degree or Bachelor's Degree in Computer Science or related field/experience
Skills
Stack
- SQL
- Spark
- AWS
- Google Cloud
- Azure
Working languages
English
Company
Last checked . The details above were extracted automatically; the employer's original posting is the authority.
