Principal Data Engineer
2024-03-25 15:03:58
2024-04-21 23:59:59
- , USA
- $175,000 YEAR
- 21st Apr ’24
- Closed
Interested in working for a start-up looking to change how we interact with technology ?
A client redefining the divide between human-centric services & the forefront of technology backed by founders with a hugely succesful history of IPOs, they specialize in real-world AI solutions that are revolutionizing customer journeys.
Their innovative approach combines bleeding-edge AI with a more human touch - who says you can't have your eggs & eat them? With a strong track record of empowering SME-sized businesses with scale-able, efficient services they are now experiencing a period of rapid growth and have partnered with us exclusively to help build a cutting edge data team.
The Role
Data is in pretty good shape at this organisation.
From day one you'll be charged with spearheading efforts to leverage data-driven insights for trans-formative solutions, with a specific focus on the construction and optimization of data lakes tailored to empower cutting-edge machine learning applications.
There is a strong but small team in place already which you'll be charged with developing, whilst designing and implementing scalable data pipelines and infrastructures that underpin the client's AI initiatives.
Your leadership will ensure the seamless integration of varied and complex data sources, enabling advanced analytics and machine learning models to drive exceptional customer experiences. By promoting a culture of innovation.
Here's a few of the key responsibilities:
- Collaborating with ML and AI teams to identify data requirements and integration strategies that support innovative models and algorithms.
- Ensure system scalability, reliability, and performance, providing expert guidance on data infrastructure best practices.
- Building a scaleable data lake which supports advanced ML algorithms
The successful candidate will likely possess the following skills & experience :
- Strong foundation in data engineering principles, with expertise in data modelling, ETL processes, and big data technologies.
- You'll need to be very comfortable with the AWS stack
- Previous experience of designing a data lake for advanced ML solutions would be hugely advantageous
- Previous experience of leading a data engineering team