Domino Platform Technical Lead

Job Description

We are looking for a hands-on Technical Lead to drive the evolution of our Domino-based data platform that supports colleagues in Research and other business this role you will own the technical design implementation and continuous improvement of the platform ensuring it is scalable reliable and easy to use for data scientists analysts and other stakeholders.

You will collaborate closely with research teams and business partners to understand their requirements translate them into technical solutions and lead a small engineering team to deliver enhancements end-to-end.

Key Responsibilities

• Lead the design development and deployment of enhancements to the Domino data platform to meet the evolving needs of Research and other business departments

• Own and refine the platform architecture ensuring scalability performance security and cost-efficiency particularly on AWS

• Design build and maintain robust ETL/ELT data pipelines to ingest process and publish data from multiple internal and external sources

• Define and implement CI/CD best practices for the platform (infrastructure and application) including automated testing deployment and monitoring

• Collaborate with data scientists data engineers and business stakeholders to gather requirements prioritize features and translate use cases into technical solutions

• Provide technical leadership and mentorship to the team: code reviews architecture guidance and coaching on best practices

• Ensure compliance with internal security governance and data privacy standards throughout the platform and data lifecycle

• Troubleshoot complex platform issues perform root-cause analysis and implement long-term fixes and improvements

• Contribute to documentation (architecture diagrams runbooks standards) and help establish reusable patterns and frameworks

• Stay current with relevant technologies (Domino AWS modern data engineering tools MLOps) and proactively recommend improvements

Required Qualifications & Experience

• Minimum 5 years of professional experience in data engineering platform engineering or similar technical roles

• Hands-on experience with the Domino Data Lab platform or similar data science / MLOps platforms (e.g. Databricks SageMaker Vertex AI)

• Strong hands-on experience designing and building ETL/ELT pipelines (e.g. using Python SQL Spark or similar)

• Solid experience with AWS services relevant to data and platform engineering (e.g. S3 EC2 EKS/ECS RDS/Redshift Lambda CloudWatch IAM)

• Proven experience implementing and maintaining CI/CD pipelines (e.g. GitLab CI GitHub Actions Jenkins Azure DevOps or similar) including automated testing and deployment

• Demonstrated experience in leading technical delivery: design decisions implementation oversight and coordination across teams (formal people management experience is a plus but not required)

• Strong software engineering fundamentals: version control (Git) code review practices testing and documentation

• Experience working in an agile or iterative delivery environment

Preferred Skills & Knowledge

• Experience with containerization and orchestration (e.g. Docker Kubernetes Helm)

• Familiarity with data modelling data warehousing and analytics use cases

• Exposure to security and compliance in a regulated environment (e.g. pharma healthcare finance) is an advantage

• Experience working directly with R&D / Research teams and an understanding of common data science and ML workflows

• Knowledge of infrastructure-as-code tools (e.g. Terraform CloudFormation)

• Strong communication skills with the ability to explain complex technical topics to non-technical stakeholders and translate business needs into technical requirements

Personal Attributes

• Proactive ownership-minded and comfortable leading initiatives end-to-end

• Collaborative and empathetic able to work effectively with colleagues from research business and IT

• Structured and detail-oriented with a focus on reliability quality and maintainability

• Curious and eager to learn with a continuous improvement mindset

Our Offer

• Exciting work in a great team global projects international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model flexible role pattern

• Pension and health insurance contributions

• Internal reward system plus referral program

• 5 weeks annual leave 5 sick days 15 days of certified sick leave paid above statutory requirements annually 40 paid hours annually for volunteering activities 12 weeks of parental contribution

• Cafeteria for tax free benefits according to your choice (meal vouchers Lítačka sport culture health travel etc.) Multisport Card

• Vodafone Raiffeisen Bank Foodora and other discount programs

• Up-to-date laptop and iPhone

• Parking in the garage for drivers or showers for bikers

• Competitive salary incentive pay and many more

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