IT Data Analytics Specialist

We are looking for a talented and driven Full-Stack Engineer to join our Data Products Enablement team. In this role, you will be at the intersection of modern data engineering and full-stack application development, building the platforms, tools, and self-service interfaces that empower our internal data consumers.

You will work closely with data engineers, analytics engineers, product managers, and business stakeholders to design, build, and maintain scalable data products powered by Snowflake. Your work will directly influence how teams across the organization discover, access, trust, and act on data.

This is a high-impact, hands-on engineering role ideal for someone who thrives at the crossroads of data infrastructure and software engineering, and who is passionate about building products that make data radically more accessible

Key Responsibilities

Platform & Product Development

• Design and develop full-stack data product features, including front-end dashboards, APIs, and back-end data pipelines, integrating seamlessly with Snowflake as the core data platform.
• Build and maintain internal self-service data portals and catalogues that enable business users to explore, request, and consume certified datasets without engineering intervention.
• Architect RESTful and GraphQL APIs that surface Snowflake data assets to front-end applications, partner systems, and embedded analytics tools.
• Develop reusable UI components and micro-frontends using modern JavaScript frameworks, adhering to accessibility and performance best practices.

Snowflake & Data Engineering

• Collaborate on the design of data contracts and semantic layer definitions to provide consistent, trusted metrics to downstream consumers.

DevOps, Quality & Collaboration

• Champion CI/CD best practices for both application and data code, maintaining robust automated test coverage (unit, integration, and end-to-end).
• Participate actively in Agile ceremonies, contribute to sprint planning, and drive engineering excellence through code reviews, pair programming, and technical documentation.
• Monitor production systems, triage incidents, and perform root-cause analysis, ensuring high availability and SLA compliance across data product services.
• Mentor junior engineers and contribute to the team's technical knowledge base through design documents, runbooks, and internal tech talks.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• 4–8 years of professional experience in software engineering, with at least 2 years directly involving data platform or data product development.
• Demonstrated track record of delivering production-grade, full-stack applications with measurable business impact.
• Proficiency in advanced SQL (window functions, CTEs, recursive queries, QUALIFY) and Snowflake-specific DDL/DML including Time Travel, Zero-Copy Cloning, and Streams & Tasks.
• Solid understanding of Snowflake's multi-cluster architecture, virtual warehouse sizing/scaling policies, query profiling, and cost governance via resource monitors.
• Front-End: Strong proficiency in React.js (with hooks and context) or Vue.js, TypeScript, and a working knowledge of state management libraries (Redux / Pinia / Zustand).
• Back-End: Hands-on experience building production APIs with Python (FastAPI / Flask / Django REST Framework) or Node.js (Express / NestJS).
• Databases: Working knowledge of relational databases (PostgreSQL, MySQL) alongside Snowflake, including schema design, query optimization, and ORM usage.
• Cloud Platforms: Practical exposure to AWS, Azure, or GCP services (e.g., S3/ADLS/GCS, Lambda/Functions, ECS/AKS/GKE) in the context of data workloads.
• Infrastructure & Tooling: Experience with Docker, Kubernetes basics, Terraform or similar IaC tools, and standard CI/CD platforms (GitHub Actions, GitLab CI, Jenkins).

Fluent English is a must

Preferred Qualifications

• Snowflake Cortex AI / ML functions
• Data mesh or data product design patterns
• Snowflake SnowCD / native app framework
• OpenAPI / AsyncAPI specification design
• GraphQL Federation / Apollo Studio
• Observability (Datadog, OpenTelemetry, Prometheus)
• Certification: Snowflake SnowPro Core or Advanced
• Experience with data lakehouse architectures (Iceberg / Delta Lake)

The successful candidate will embrace Vertiv’s Core Principles & Behaviors to help execute our Strategic Priorities.

OUR CORE PRINCIPLES: Safety. Integrity. Respect. Teamwork. Inclusion.

OUR STRATEGIC PRIORITIES

• High-Performance Culture

• Customer Focus

• Operational Excellence

• Innovation

• Financial Strength

VERTIV BEHAVIORS

• Own it

• Act with urgency

• Foster a customer-first mindset

• Think big and execute

• Lead by example

• Drive continuous improvement

• Learn and seek out development

• Promote transparent & open communication

About Vertiv

Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers’ vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today’s data centers, communication networks, and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.

Work Authorization

No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.

Equal Opportunity Employer

Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to [email protected]