Engineering Manager Data Platform
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1 Vacancy
Job Description
Who we are
Lightricks an AIfirst company is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation Lightricks is dedicated to bringing cuttingedge technology to the creative and business spaces.
Our advanced AI photo and video generation models including our opensource LTXV model power our apps and platforms including Facetune Photoleap Videoleap and LTX Studio allowing creators and brands to leverage the latest research breakthroughs offering endless control over their creative potential. Our influencer marketing platform Popular Pays provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
The Data Platform team directly supports Lightricks datadriven approach by providing our data users with relevant platforms to make good use of our data.
We provide data systems all across the data stack from self service analytics & media ingestion to realtime event processing and even a/b tests and more all while maintaining user privacy combined with costefficient solutions.
What you will be doing
- Work together with the different data producers and data consumers within the company and the data organization in order to understand their needs and work processes regarding their data and API needs and limitations.
- Develop a deep understanding of the companys vision and strategic planning and makesure our data infrastructure is built to support the same ideas.
- Identify bottlenecks in internal data processes and work to resolve them by planning and delivering technological solutions such as automating processes optimizing data delivery and storage redesigning infrastructure for greater scalability integrating external tools etc.
- Integrate new tools and solutions that can empower the companys data consumers and help assimilate them.
- Lead a team of senior data engineers in providing a set of technological solutions that best fit business needs.
- Have full responsibility for data compliance in the organization and lead the design and implementation of data compliance and privacy processes.
Your skills and experience
- 2 years leading and mentoring technical teams driving projects from concept to delivery and aligning engineering efforts with business goals in dynamic crossfunctional environments
- 5 years of handson work designing building and optimizing scalable highavailability backend systems
- Skilled in architecting dataintensive systems that support largescale processing and analysis
- Proficient in managing workloads on major cloud platforms
- Strong programming background in Python Java Scala or other modern languages
- Comfortable navigating rapidly evolving tech stacks and collaborating with diverse teams across functions
- Familiar with global privacy and security standards (GDPR CCPA SOC etc. with a solid understanding of privacyfirst development practices
Preferred Requirements
- Experience with SQL data modeling and relational databases as well as a deep understanding of ETL and data warehousing concepts methodologies and frameworks.
- Functional programming and streaming systems experience including handson experience designing building and optimizing stream processing (Flink Storm Spark Streaming etc. or functional systems.
- Experience running payloads at a major scale handling tens of thousands of events per second and dozens of sources.
Required Experience:
Manager
Employment Type
Full Time
