Senior Analytics Platform Engineer

Job Description

Are you an innovative technical expert, looking for an opportunity to use your technology skills and strengths to impact on a product centric data and analytics organization within an enterprise? Are you looking for an opportunity where you will be able to help various products and services teams build their solutions in a modular fashion, which enables an end-to-end customer journey in an integrated fashion? Are you looking to go beyond just platforms and technologies and build true value add, self-serve data and analytics products? If so, come join us and help us build one of the industry's most complete and advanced data and analytics eco systems.

As the Senior Analytics Platform Engineer, you will be responsible for developing solutions to support the delivery of product roadmaps for multiple Data Analytics platforms. You will engage with technical product manager, architect, and other members of the organization to design and deliver solutions to address business needs. You will also be responsible for testing the solutions, updating SDLC documentation and releasing capabilities as part of specific product releases. 

 

What you'll do

• Architect, build, deploy, and maintain cloud infrastructure, containerization, and orchestration (e.g., Kubernetes) to support our application and data integration platform.

• Lead technical implementation of platform features and manage their adoption across engineering and product teams.

• Collaborate with product managers and customers to understand requirements and translate them into scalable, secure infrastructure solutions.

• Participate in product planning: contribute to backlog prioritization, provide estimations, and support timely delivery of enhancements.

• Ensure platform availability and reliability; monitor performance and implement optimizations.

• Proactively identify and implement cost-saving opportunities for cloud and platform resources.

• Collect and act on user feedback to improve platform usability and adoption.

• Work effectively in a matrix organization, aligning functional engineering goals with product priorities.

Required skills

• Minimum 5-7 years of experience in software/platform engineering practices (including versioning, release management, deployment, agile & related software tools - GitHub Actions, Cloudbees CD, Terraform, Cloudformation, Kubernetes etc

• Extensive Hands-on experience designing, deploying, and operating cloud-native infrastructure (AWS preferred; experience with Azure or GCP acceptable).

• Good Experience in Data & integration and understanding data analytics concepts, ETL/ELT and integration platform architecture.

• Strong understanding and experience in data analytics ecosystem and prefer to have experience in the data ingestion, curation and orchestration tools (Ex. dbt cloud, Matillion, Airflow)

• Good knowledge of cloud networking, security best practices, and cost optimization.

• Experience with container platforms and orchestration (Kubernetes, Docker).

• Proficient with IaC tools (Terraform, CloudFormation or equivalent).

• Strong experience building and maintaining CI/CD pipelines and automation (GitHub Actions, Jenkins, GitLab CI, etc.).

• Practical programming/scripting skills (Python, Bash/Shell).

• Comfortable working on Linux/Unix environments.

• Solid understanding of version control, release management, deployments, and related tooling.

• Familiar with SDLC, basic QA/testing practices, and release verification.

• Experience with monitoring, logging and observability tooling (Prometheus, Grafana, Acceldata or similar).

• Proven ability to maintain platform availability, troubleshoot production issues, and implement optimizations.

• Solid understanding of version control, release management, deployments, and related tooling.

• Familiar with SDLC, basic QA/testing practices, and release verification.

• Experience working closely with product teams; able to translate customer needs into technical solutions.

• Product- and customer-centric mindset with experience participating in product lifecycle activities.

• Experience working in Agile teams and knowledge of Scrum.

• Strong written and verbal communication skills, and ability to work in a matrixed organization.

• With a wealth of knowledge and hands-on experience, regularly mentor peers, provide help, aid in defining standards, and identify reusable components and platform automation opportunities.

Required Skills:

Amazon Web Services (AWS), Cloud Networking, Cloud Operations, Communication, Computer Science, Data Engineering, Data Ingestion, Data Visualization, Design Applications, GitLab, Infrastructure Security, Kubernetes, Oral Communications, Platform Engineering, Production Optimization, Product Lifecycle, Product Planning, Prometheus (Software), Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, Testing

Preferred Skills:

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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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

12/31/2025

*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.

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