Sr Data & AI Technical Solutions Engineer

Databricks

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Sao Paulo, Brazil First seen 3 weeks, 1 day ago Last seen 11 hours, 20 minutes ago Greenhouse

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Job Description

AI Summary

• Troubleshoot and resolve production data pipelines and AI workflows for Databricks customers, serving as first point of contact for issues involving Spark, Delta, DLT, and Model Serving • Develop deep technical expertise across Databricks products through code-level analysis, performance tuning, and optimization of customer workloads at production scale • Collaborate with product engineering and technical teams to identify improvements, contribute technical documentation, and proactively prevent future customer issues • Requires minimum 6 years building Python/Java/Scala applications, 3+ years hands-on Big Data experience (Spark, Hadoop, Lakehouse, ML/AI), and proven production troubleshooting skills including query optimization and memory management • Prior customer-facing or support experience preferred but not required; role offers opportunity to develop expertise in high-impact technical support within a global engineering organization

P-993

Mission

As a Data & AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable production data pipelines, AI workflows, and more using the Databricks platform. You will develop product expertise in a couple of areas by advising a broad set of customers and use cases across those technologies. You will collaborate with other teams at Databricks to deliver an excellent customer experience - whether that’s product engineering teams or technical account team members. TSE’s have proven production troubleshooting and optimization experience to help our customers’ workloads run smoothly and to achieve their strategic objectives using the Databricks’ platform. Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.

The impact you will have:

Be the first point of contact for customer production issues - provide initial analysis, troubleshooting, and resolution for data engineering and AI workloads.
Deep Dive into code-level analysis of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
Provide excellent customer support - be knowledgeable and empathetic in customer communications over email and video, act with a sense of urgency to find mitigations and solutions, diffuse escalations during incidents and be proactive at helping prevent future customer problems.
Help make the Databricks products simpler to use and customer production environments more stable - such as through coordinating with Engineering and Backline Support teams to identify areas for product improvements.
Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation to be used internally or externally by customers and partners.

What we look for:

Minimum of 6 years of experience in designing, building, testing, and maintaining Python/Java/Scala based applications in typical project delivery and consulting environments.
Experience with SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran).
3 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.
Hands-on experience in performance tuning and troubleshooting of Data and AI applications at production scale - including query optimization, memory management, garbage collection, and heap/thread dump analysis.
Prior Support or customer facing experience is not required for this role, but the ability and desire to develop excellent customer service skills is.
Preferrable: Hands-on experience with public cloud (AWS or Azure or GCP).
Technical degree or the equivalent experience.

About Databricks

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. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At 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 https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At 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.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Skills

go sql aws java python

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Job Information

Company:
Databricks
Location:
Sao Paulo, Brazil
Job Type:
Internship
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

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66 /100

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