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 functions. In 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
Ready to take up the challenge? Apply now! Know anybody who might be interested? Refer this job!
The date shown below is the earliest possible closing date for this posting. However, we sometimes extend the job posting period as needed, so please feel free to apply anytime you see the "Apply" button available. You may also reach out to the recruiter directly via https://www.linkedin.com/in/badumtss/
Required Skills:
Agile Methodology, Amazon Web Services (AWS), CI/CD, Coaching, Data Engineering, Domino Data Science Platform, Extract Transform Load (ETL), Platform Engineering, Product Adoption, Software Coding, Software Engineering, Stakeholder Management, Technical Leadership
Preferred Skills:
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Current Contingent Workers apply HERE
**Search Firm Representatives Please Read Carefully ** Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
**Employee Status: **
Regular
Relocation:
No relocation
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
N/A
Job Posting End Date:
03/6/2026
***A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. **