Jobs at Datatonic

Designs and delivers scalable data platforms and architectures on Google Cloud for consulting clients. Leads data modeling, governance, security, privacy, quality, ingestion, and production-readiness initiatives. Provides architectural guidance and mentorship to engineers, collaborates with architecture, engineering, and data science teams, and develops client data strategies. Requires strong expertise in cloud data warehouses, lakehouses, data modeling, stakeholder management, communication, and Python, Java, and SQL.

Leads the Americas platform practice, owning the strategy, architecture, delivery, and business outcomes of enterprise Google Cloud platforms. Designs landing zones, data and MLOps platforms, reusable infrastructure templates, CI/CD pipelines, AI-agent operations, governance, observability, and FinOps capabilities. Advises senior clients, leads teams while remaining hands-on, enables self-sufficient delivery teams, supports pre-sales, and connects platform costs to business value.

Drive strategic account growth and new-logo acquisition across Media and Entertainment clients. Build executive relationships, diagnose business and technical challenges, develop Google Cloud-backed data and AI transformation roadmaps, lead commercial negotiations, and collaborate with Google Cloud and internal delivery teams to realize client value and expand engagements.

Design and develop scalable data pipelines and cloud infrastructure for analytics, visualization, and machine learning applications. Collaborate with data scientists, ML engineers, and analysts to deliver data solutions using GCP, dbt, and Looker. Optimize ETL and big-data processing, maintain resilient code and infrastructure, troubleshoot systems, and mentor engineers while supporting client-facing projects.

Lead DevOps pipeline design and implementation, advise clients on DevOps best practices, establish DevOps functions, and engage stakeholders to ensure seamless delivery across projects.

Drive strategic revenue and transform enterprise client relationships through long-term engagements, navigating challenges and delivering measurable business value.

Senior Enterprise Account Executive responsible for building and closing large, outcome-led Data/AI/Cloud deals (£250k+), expanding and networking within Nordic enterprise accounts, conducting frequent on-site discovery, orchestrating internal technical resources, and moving accounts from tactical conversations to strategic, transformational programs while preparing for a leadership transition.

The Account Executive will drive sales, develop strategies for business growth, manage accounts, and lead collaborations with clients and teams in the insurance sector.

Lead pre-sales activities at Datatonic, shaping data and AI solutions, architecting transformations, and advising clients across various industries. Build trust with C-suite, manage RFPs, and represent the company in strategic engagements.

Lead and expand Datatonic's Google Cloud partnerships across the Nordics by developing JBPs and GTM plans, driving partner-sourced pipeline and co-sell motions, coordinating with sales and partner engineers, managing partner operations, QBRs, onboarding, and executing joint solution development to meet pipeline and sales targets.

As a Senior Machine Learning Engineer, you will design and implement AI solutions, optimize ML models, and lead projects while engaging with clients to meet business needs.

The Senior Machine Learning Engineer will develop models, lead projects, optimize solutions, and ensure data flow, leveraging AI on Google Cloud.

Manage Google Cloud partner portal administration, deal registration, co-sell tracking, partner onboarding, stakeholder communications, funding utilization, financial reconciliation, tier and scorecard compliance, dashboards, incentive forecasting, and joint marketing campaign reporting. The role coordinates closely with sales, marketing, finance, engineering, Datatonic leadership, Google Cloud representatives, and external partners.

Own and improve security operations for cloud-first infrastructure: tune SIEM detections, improve DLP/CASB/EDR controls, run incident response, automate workflows, and maintain ISO 27001 compliance and evidence.