Found.dev
Role Highlights
Languages used
Key skills
Data Engineer
Distributed Systems
Data Structures
AI
Infrastructure
Cloud
Storage
Database
Debugging
Optimization
Architecture
ProtoTyping
Backup
Tools, Libraries and Frameworks
SQL Server
MS SQL
MS SQL Server
MQ
DataBricks
SalesForce
Oracle
IBM
MLFlow
Apache Spark
SharePoint
NoteBooks
Description
The role involves building and running a data and AI infrastructure platform to assist customers with business insights. The engineer will focus on Lakeflow Connect, which provides connectors for various data sources including enterprise applications, databases, and cloud storage. The position requires embedding ingestion capabilities into various platform surfaces such as dashboards, notebooks, and SQL tools. The engineer will work on extracting data from OLTP systems while maintaining minimal load on production environments. Responsibilities include designing architecture, influencing product roadmaps, and leading technical projects across multiple teams. The role also entails mentoring team members, managing sprint planning, and delegating assignments.
Required Qualifications and Skills
The role requires a minimum of 15 years of industry experience in building and supporting large-scale distributed systems. Candidates must possess specific experience in database replication, backup, and transaction recovery gained at a major database vendor. A strong foundation in algorithms and data structures is necessary for the position. The role also requires the ability to drive company initiatives and work toward a multi-year vision.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Databricks
Size
8632
HQ
San Francisco, US
Public/Private
Privately HeldDescription
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. --- Attention: Databricks applicants Due to reports of phishing, were requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
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