Principal Data Operations Engineer (Managed Services)

As Google Cloud's premier partner in AI, Datatonic provides world-class businesses with cutting-edge data solutions in the cloud.

We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies. Our goal is to provide our customers with the tools, processes and skills to support their adoption of data platforms through our end-to-end build and run services.

Our team consists of experts in machine learning, data science, software engineering, mathematics, design and DevOps. We share a passion for data & analysis, operate at the cutting edge, and believe in a pragmatic approach to solving hard problems.

 

The Role

We are looking for our next teammate to help us on this journey! Our Principal Data Operations Engineer will play a crucial role in the success of the managed services practice and be an advocate of exceptionally high-quality technical delivery and tooling.

As a Principal Data Operations Engineer, you'll own the overall tooling strategy, technical roadmap and drive technology best practices as part of Datatonic's market leading Managed Services.

 

Responsibilities

• Leadership and accountability for the technical roadmap of services
• Implement and execute on the tooling strategy required to delivery a highly automated and scalable data managed service
• Support the sales team with technical pre-sales enablement including build out pitch decks, architecture documents and sales collateral
• Advise consulting teams on best practices for build of data platforms that are considerate of managed services
• Working closely with OCTO (Office of the CTO) to ensure close alignment on existing and new standards
• Being an advocate for and keeping up to date with new technologies, Google services, and the evolution of GenAI
• Senior escalation point for intractable issues with customer platforms
• Work with the Head of Managed Services on the strategic objectives of the Data Operations team
• Contributing to development and evolution of the services portfolio
• Coaching and mentoring junior technical staff, including responsibility for defining learning paths for engineering teams
• Promote growth and continuous development of engineering teams

 

Requirements

• Strong commercial awareness of Data Managed Services solutions, particularly with scoping and pitching to large enterprise customers including pricing, contracts and proposals
• Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language.
• Ability to translate business requirements into plausible technical solutions for articulation to engineering teams
• Ability to understand existing target architecture and adjust accordingly to accommodate new business requirements
• Strong experience in monitoring and measuring platform performance and availability e.g SLO and SLI
• Experience managing across relationships across internal and external customers, stakeholders and executives
• Experience with Google Data Products tools (e.g., BigQuery, Dataflow, DataProc, Dataplex, Composer, Vertex, Looker, etc.)
• Experience building and deploying solutions to Cloud (Google Cloud) including Cloud provisioning tools and management of releases through various environments into production
• Experience and knowledge of application containerisation e.g. Docker, Kubernetes, Cloud Run, etc
• Deep expertise with data warehousing (Kimball, Lakehouse, Data Mesh), particularly Big Query built using dbt/Dataform
• Ability to work on resolving and anticipating complex issues that might impact multiple stakeholders
• Experience of working CI/CD technologies, Git, Github Actions, Cloud Build, etc
• Google cloud certifications: Cloud Architect Professional or Data Engineer Professional or Machine Learning Professional

 

The Basics: 25 days holiday + bank holidays, Private Healthcare, Discounted Gym Membership, Life Insurance, Income Protection, Employee Assistance Program, Pension Scheme 3% employee contribution on qualifying earnings, rising 1% per year of service to max 10%.

Extras: £100 home equipment allowance, Cycle to Work & Tech Scheme

Learning: Datatonic encourages continuous learning at all levels, with the freedom to explore the latest tools & technologies. You will receive an individual training budget and/or conference allowance

Team: Career Development, Impact, Innovation. A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression. Experiment and bring forward ideas, create impactful and meaningful work in a creative & collaborative environment - even just for fun!

Office: A modern, collaborative, working space set in the innovation hub of Canary Wharf with panoramic views of London. Plus regular social events & team off-sites.

 

Datatonic is an equal-opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, colour, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. Our current team is made up of folks from very different backgrounds, including a former librarian, oceanographer and comic bookstore owner! If you are on the fence about whether you meet our requirements, we encourage you to apply anyway. Please reach out to us directly at join@datatonic.com if you need assistance or accommodation due to disability.