Principal Data Engineer
Principal Data Engineer
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
