Databricks Senior Manager

Location: Greater London

Kubrick Group | NA# Databricks Senior Manager Mansion House, United Kingdom Share this job with your network###

Job Description / Summary```Who we are Kubrick is a next-generation technology consultancy, designed to accelerate delivery and build amazing teams. We deliver services across data, AI, and cloud and we’re building the next generation of tech leaders. Since 2017, we have established a market leading position supporting our clients build their data and technology teams and deliver enduring solutions.

About Kubrick Advanced:

Kubrick Advanced is the delivery arm of Kubrick. It is a fast-growing team working across an array of practices tasked with delivering client projects and leading teams of Kubrick consultants. We are at the forefront of Kubrick’s growth and instrumental in developing services and solutions for our clients and technology partners. Kubrick Advanced offers opportunities for technical and commercial exposure across a wide range of industries and technical use cases.

It is a tight knit team of motivated technology professionals where ongoing learning and development are central to our ethos and internal culture.

The Role We are seeking a highly skilled and experienced Senior Manager Databricks Engineer to join our growing community specialising in Databricks. The successful applicant will have a strong background in training models to support a range of problem domains and be well versed in delivering and maintaining models in a production environment through applying MLOps best practice. The role will require familiarity with the relevant capabilities of Databricks and at least one of the major cloud service providers (AWS, Azure, or GCP).

Advanced proficiency in Python and SQL is essential.

As a Senior Manager Databricks Engineer working in our Kubrick Advanced team, you will play a key role in delivering high-quality data engineering projects to our clients, often in collaboration with Databricks' professional services team. In addition to hands-on technical work, you will often play a leadership role in Kubrick’s delivery squads, providing technical guidance and ensuring best practices are followed throughout the project lifecycle.

You will work closely with clients and internal stakeholders to translate business requirements into robust technical solutions, ensuring projects are delivered on time, within scope, and aligned with client expectations.

You will also support the growth and capability development of Kubrick Advanced,particularly with respect to our Databricks delivery capabilities. This will include assuming line management and/or technical leadership roles within the team.

Key Responsibilities
• Lead technical delivery within Kubrick’s squads deployed on client project engagements, ensuring that Kubrick is known for the quality of the technical solutions it provides.
• Work with Kubrick & client staff of other disciplines to understand and assess requirements, design solutions and inform delivery planning.
• Seek, build, and maintain effective client relationships contributing to Kubrick’s
• commercial priorities and supporting our partnering approach to working with clients.
• Line managing developers within the team, supporting their professional and personal development.
• Promote a culture of engineering excellence within KA through curiosity, collaboration and contributions to the internal knowledge base
• Participating in self-directed or group learning and upskilling (gaining Kubrick funded
• certifications) to ensure your technical skills stay up to date and industry relevant.

Required Skills & Experience
• Design and deliver a platform using the expected features of Databricks
• Demonstrable practical experience of training and deploying ML models on Databricks (has ideally attained a Databricks ML Engineer certification).
• Ability to “pick the right tool for the job” when it comes to selecting the type of learning model and framework to apply to a given problem statement
• Awareness of the cost implications of training, fine-tuning, testing and serving ML models.
• Strong communication skills.
• Ability to influence key technical and business decision makers.
•…