Manager, Spark Technical Solutions
Bengaluru, India
Applications have closed
Databricks
The Databricks Platform is the world’s first data intelligence platform powered by generative AI. Infuse AI into every facet of your business.As a Manager of the Spark Technical Solutions team, you will manage a team of Technical solution engineers and create technical solutions for any issues reported by Databricks customers. You will resolve challenges with comprehensive technical and customer. You will assist our customers in their Databricks journey and provide them with the guidance and expertise that they need to accomplish value and achieve their strategic goals using our products.
The impact you will have:
- As a manager and member of the leadership team, you will be directly managing Technical solution engineers, team leads and operations personnel.
- Manage directly monitoring, reporting, and driving improvements to team-level metrics, being an escalation point with customers and other teams, and optimising and developing support processes.
- Working across multiple teams including Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers.
- Meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year
- Be a hands-on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lake house and other Data bricks runtime features.
- Manage best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Data bricks customers; contribute in the development of tools/automation programs.
- Manage Engineering JIRA tickets and bring quicker resolutions to customer reported issues; help create knowledge base articles.
- Participate in weekend and weekday on-call rotation and run escalations during Data bricks runtime outages, incident situations, and plan day 2 day activities and provide escalated level of support for important customer operational issues.
What we look for:
- Min 12 or more years of experience in building, testing, and maintaining Python/Java/Scala/Spark-based applications in a typical project delivery and consulting environments.
- 4 years of hands-on experience developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory.
- Experience in performance tuning/troubleshooting of Hive and Spark-based applications at production scale. Real-time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis.
- Experience working with Data lakes and any SQL-based databases, Data Warehousing technologies like Informatica, DataStage, Oracle, Terradata, SQL Server, MySQL.
- Experience working with any cloud technologies AWS or Azure or GCP.
- Experience implementing CI/CD, Monitoring for Production Systems. Technical lead in design, implementation and support of large-scale data and analytics solutions that are reliable, flexible, and scalable.
- Experience managing end-to-end projects and have reported and escalated to top levels.
- Experience managing teams in an organisation involving multiple reporting lines.
- Strong written and verbal communication skills; very good analytical & organisational skills.
Benefits
- Private medical insurance
- Accident coverage
- Employee's Provident Fund
- Equity awards
- Paid parental leave
- Gym reimbursement
- Annual personal development fund
- Work headphones reimbursement
- Business travel insurance
About Databricks
Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. 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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Big Data CI/CD Consulting Databricks Data Warehousing Elasticsearch Engineering Excel GCP Hadoop Informatica Java Jira Kafka Machine Learning MLFlow MySQL Oracle Python Scala Spark SQL Streaming Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Medical leave Parental leave Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Azure Data Engineer jobs
- Open ETL Developer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs