Senior ETL Platform Engineer
Job in
Pennington, Mercer County, New Jersey, 08534, USA
Listed on 2026-07-13
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering, AWS, Azure
Job Description & How to Apply Below
Responsibilities
- Provides leadership, technical direction and oversight to a team delivering technology solutions
- Provides oversight of the design, implementation, and maintenance of complex computer programs
- Aligns technical solutions to business objectives
- Ensures that coding practices/quality comply with software development standards
- Conducts multiple software implementations and applies both depth and breadth in knowledge of several technical competencies
- Responsible for leading the design, delivery, and evolution of cloud‑based, AI‑enabled data integration and analytics platforms
- Drives architectural decisions across Informatica (on‑prem and cloud), public cloud services, and AI‑driven data capabilities
- Ensures scalable, secure, and high‑performance data solutions
- Partners with Product, Application, Software Engineering, Cloud Infrastructure, and Data Science teams
- Data, Cloud & AI Platform Expertise
- Strong hands‑on experience with Informatica on‑prem and Informatica Intelligent Cloud Services (IICS)
- Deep understanding of Informatica Cloud architecture, secure agents, and hybrid/cloud deployment models
- Experience designing solutions on public cloud platforms (Azure preferred)
- Experience delivering AI/ML‑enabled data pipelines that support analytics, model training, and intelligent applications
- Hands‑on experience implementing and maintaining CI/CD pipelines across multiple Orgs and Sub‑Orgs
- Knowledge of data replication and availability across cloud object storage (S3‑compatible)
- Familiarity with Operational Insights, cloud monitoring, and AI‑driven observability (preferred)
- Proven experience with Incident, Problem, Change, and Service Request Management in cloud environments
- Demonstrated expertise in performance optimization, cost efficiency, and scaling cloud data workloads
- Experience mentoring teams on cloud, data engineering, and AI data best practices
- Background working in a shared services or platform engineering model
- Minimum Education Requirement:
Bachelor’s degree or equivalent work experience
Position Requirements
10+ Years
work experience
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