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Senior Technical Solutions Architect

2 meses atrás

São Paulo, São Paulo, Brasil Lawton Senior Living Tempo inteiro
About the Role

We are seeking a highly skilled Technical Solutions Engineer to join our team. As a Technical Solutions Engineer, you will be responsible for providing technical expertise and consulting services to our customers. Your primary focus will be on Apache Spark, and you will work closely with our customers to resolve any challenges they may be facing with the Databricks unified analytics platform.

Key Responsibilities
  • Perform initial level analysis and troubleshooting of Apache Spark issues using Apache Spark UI metrics, DAG, and Event Logs.
  • Troubleshoot, resolve, and suggest deep code-level analysis of Apache Spark to address customer issues related to Apache Spark core internals, Apache Spark SQL, Structured Streaming, Delta, Lakehouse, and other Databricks runtime features.
  • Assist customers in setting up reproducible Apache Spark problems with solutions in the areas of Apache Spark SQL, Delta, Memory Management, Performance tuning, Streaming, Data Science, and Data Integration.
  • Participate in the Designated Solutions Engineer program and guide one or two strategic customers' daily Apache Spark and Cloud issues.
  • Coordinate with Account Executives, Customer Success Engineers, and Resident Solution Architects for coordinating customer issues and best practices guidelines.
  • Participate in screen sharing meetings, answer slack channel conversations with our team members and customers, and help drive major Apache Spark issues at an individual contributor level.
  • Build an internal wiki, knowledge base with technical documentation, manuals for the support team and for the customers. Help create company documentation and knowledge base articles.
  • Coordinate with Engineering and Backline Support teams to help report product defects.
  • Participate in weekend and weekday on-call rotation and run escalations during Databricks runtime outages, incident situations, and plan day 2 day activities and provide escalated level of support for important customer operational issues.
Requirements
  • 3 years of hands-on experience developing any two or more of the Big Data, Hadoop, Apache Spark, Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory.
  • Experience in the performance tuning/troubleshooting of Hive and Apache Spark-based applications at production scale.
  • Real-time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis.
  • Experience with any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL, and SCD type use cases.
  • Experience with AWS or Azure or GCP.
What We Offer
  • Private Medical and Dental
  • Life Insurance
  • Meal Allowance
  • Equity Awards
  • Paid Parental Leave
  • Fitness Reimbursement
  • Annual Career Development Fund
  • Home Office/Work Headphones Reimbursement
  • Childcare Reimbursement
  • Business Travel Accident Insurance
  • Mental Wellness Resources
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.

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.

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.