We are seeking a highly skilled Data Product's Engineer with deep expertise in Snowflake and strong hands-on experience with Matillion on AWS. The ideal candidate will design, build, and optimize scalable data pipelines that feed our Data Marketplace and enable the creation, publication, and consumption of certified Data Products across the enterprise.
This role is central to our Data Marketplace strategy — ensuring data flows reliably from source systems through our silver, and gold layers, and is curated, governed, and made discoverable as reusable Data Products. The ideal candidate thrives in complex, enterprise-level environments, collaborates effectively with cross-functional teams, and is passionate about delivering high-quality, governed, and AI-enabled data assets.
Key Responsibilities
Data Products Engineering & ETL Development
- Design, build, and maintain scalable ETL/ELT pipelines using Matillion on AWS to ingest, transform, and curate data across incoming (raw/staging), silver (cleansed & conformed), and gold (business-ready/aggregated) layers in Snowflake.
- Develop and publish certified Data Products — governed, documented, and reusable datasets made available through the Data Marketplace for self-service consumption by analysts, data scientists, and business users.
- Develop and optimize Snowflake objects including warehouses, schemas, tables, views, streams, tasks, and stored procedures to support Data Product pipelines.
- Optimize Snowflake performance through clustering, caching, micro-partitioning, and resource monitoring to ensure Data Products are delivered with reliability and speed.
Data Marketplace & Data Governance
- Support the design and population of the Data Marketplace, ensuring Data Products are cataloged, discoverable, and compliant with enterprise data governance standards.
- Define and enforce data contracts, SLAs, and quality standards for each Data Product published to the Marketplace.
- Define and automate data validation, profiling, and quality checks embedded within ETL pipelines to guarantee Data Product integrity.
- Collaborate with data governance teams to implement naming standards, lineage tracking, metadata management, and access policies for Data Products.
- Ensure data lineage is traceable end-to-end from source systems through bronze/silver/gold layers to the final Data Product.
Collaboration & Delivery
- Work closely with data analysts, data scientists, AI/ML teams, product teams, and business stakeholders to understand requirements and translate them into well-defined Data Products.
- Partner with the Data Marketplace product owner to define the Data Product lifecycle (creation, certification, publication, deprecation).
- Lead code reviews, provide mentorship, and support best practices across the engineering team.
- Contribute to architectural decisions and participate in strategic data roadmap planning.
Automation & DevOps
- Build CI/CD pipelines for Matillion job deployments and Snowflake object management.
- Develop reusable ETL frameworks, templates, and patterns to accelerate the creation of new Data Products.
- Implement monitoring, alerting, and operational excellence practices for data pipelines and Data Product health.
- Automate Data Product certification workflows, including quality gates and approval processes.
Required Qualifications
- 5+ years of experience as a Data Engineer or similar role.
- Strong expertise with Snowflake (SQL, performance tuning, data modeling, warehouse configuration, streams, tasks).
- Hands-on experience with Matillion on AWS (or comparable ETL/ELT tools such as Talend, Informatica, dbt, Azure Data Factory).
- Solid understanding of Data Product and Data Marketplace concepts (data contracts, data-as-a-product, self-service data consumption).
- Advanced SQL skills; ability to write complex queries and optimize them.
- Strong understanding of data modeling, dimensional models, star schemas, and data warehouse/data lake concepts (bronze/silver/gold architecture).
- Experience with cloud platforms, specifically AWS.
- Experience with Oracle Business Applications (ERP/EBS) as source systems is a plus.
- Proficiency in Python, Airflow, or other orchestration tools.
- Familiarity with Git, CI/CD, and general DevOps practices.
- Knowledge of data governance principles, metadata management, and data cataloging tools.
Preferred Qualifications
- Experience building or contributing to an enterprise Data Marketplace or Data Catalog.
- Familiarity with data mesh or data product thinking methodologies.
- Experience with near real-time data ingestion tools (e.g., OpenFlow, Kafka, CDC).
- Exposure to AI/ML data preparation and delivering AI-enabled datasets.
- Experience with data lineage and impact analysis tooling.
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]
Skills Required
- 5+ years of experience as a Data Engineer or in a similar role
- Strong expertise with Snowflake, including SQL, performance tuning, data modeling, warehouse configuration, streams, and tasks
- Hands-on experience with Matillion on AWS or comparable ETL/ELT tools
- Understanding of Data Product and Data Marketplace concepts, including data contracts and self-service data consumption
- Advanced SQL skills, including writing and optimizing complex queries
- Understanding of data modeling, dimensional models, star schemas, and data warehouse/data lake concepts
- Experience with AWS or other cloud platforms
- Proficiency in Python, Airflow, or other orchestration tools
- Familiarity with Git, CI/CD, and general DevOps practices
- Knowledge of data governance, metadata management, and data cataloging tools
- Experience with Oracle Business Applications, ERP, or EBS as source systems
- Experience building or contributing to an enterprise Data Marketplace or Data Catalog
- Familiarity with data mesh or data product thinking methodologies
- Experience with near real-time data ingestion tools such as OpenFlow, Kafka, or CDC
- Exposure to AI/ML data preparation and AI-enabled datasets
- Experience with data lineage and impact analysis tooling
Vertiv Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vertiv and has not been reviewed or approved by Vertiv.
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Healthcare Strength — Health coverage is described as comprehensive, with standard medical, dental, and vision plans plus wellness and mental-health resources. Core offerings also include disability and life insurance and an Employee Assistance Program.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO typical of large employers, and many U.S. salaried roles feature flexible or "unlimited" PTO approaches. These programs are part of a structured, global total rewards framework.
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Fair & Transparent Compensation — Pay is considered fair at start for many office-based, engineering, and field service roles, and total compensation packages are viewed as stable. In some hourly manufacturing settings, overtime opportunities help boost overall earnings.
Vertiv Insights
What We Do
Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to ensure its customers’ vital applications 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 extends from the cloud to the edge of the network. Headquartered in Columbus, Ohio, USA, Vertiv employs approximately 20,000 people and does business in more than 130 countries. For more information, and for the latest news and content from Vertiv, visit Vertiv.com.
