Principal Data Engineer

Versant • New York, NY

4d • Hybrid

About The Position

Versant Media’s Data Platforms team is the central data store across the enterprise. We unify disparate systems into a secure, well-governed, real-time data environment that powers downstream products, analytics, and content delivery experiences. We are seeking a Principal Data Engineer to lead the design and evolution of data systems, pipelines, and modeling strategies across Versant’s data platform. This is a hands-on technical leadership role focused on building scalable, well-governed data systems and setting standards for how data is structured, transformed, and consumed across the organization. This role partners closely with Platform Development and Data Governance to ensure data systems are both technically robust and contract-driven.

Requirements

• 8–10+ years of experience in data engineering or related roles
• Deep expertise in: Data modeling, ELT pipelines, Large-scale data processing systems
• Strong proficiency in Python and SQL, with familiarity in distributed data systems
• Strong understanding of: Data governance, contracts, and lineage, Data quality and observability concepts
• Experience designing systems that support both: Analytical workloads, Operational data use cases
• Proven ability to lead technical direction without direct authority

Nice To Haves

• Exposure to ML platforms or services (e.g., Databricks, AWS Bedrock)
• Familiarity with analytics and BI tools (Tableau, Power BI, or similar)
• Experience working in media, streaming, or large-scale enterprise environments
• Prior experience modernizing or integrating legacy systems within a cloud-native architecture

Responsibilities

• Lead design and implementation of scalable data pipelines, transformation frameworks, and data models
• Define standards for: Data modeling, Schema design and evolution, Data lifecycle management
• Ensure alignment with: Data contracts, Governance and lineage requirements, Observability and data quality standards
• Partner with Platform Engineering to integrate data systems into platform services and APIs
• Drive best practices for: Testing and validation of data pipelines, Performance and scalability, Reusability and modular design
• Mentor engineers and influence technical direction across teams
• Evaluate and introduce modern data technologies and patterns where appropriate

Benefits

• medical, dental and vision insurance
• 401(k)
• paid leave
• tuition reimbursement
• a variety of other discounts and perks

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed