Multi Media, LLCRemote
Engineering Manager, Data Platform
United States of America
Full Time
7 hours ago
$181,000 - $237,000 USD
H1B Sponsor Likely
Key skills
MLData EngineeringData WarehousingAnalyticsdbtCI/CD
About this role
Multi Media LLC is a leader in digital innovation, focusing on creating modern products for the content creator community. They are seeking an Engineering Manager to lead their data platform team, overseeing the evolution of their data ecosystem to support personalization, experimentation, and analytics at scale.
Responsibilities:
- Own and define the long-term strategy and roadmap for our Data Platform, ensuring it supports personalization, experimentation, and analytics at scale
- Establish and uphold standards for data quality, governance, reliability, and platform performance
- Lead, mentor, and grow a high-performing team of data and analytics engineers
- Drive clear prioritization across stakeholder requests while protecting foundational platform investments
- Work closely with Product, ML, and Analytics teams to ensure the platform delivers trusted, well-defined, and accessible data that meets their evolving use cases
- Continuously evaluate our data stack and infrastructure, recommending concrete improvements to architecture, tooling, and workflows to keep the platform scalable, reliable, and cost-efficient
Requirements:
- 2-5 years of people management experience leading data engineering or platform teams
- 7+ years of experience in data engineering, backend data systems, or platform engineering
- Experience working on popular consumer applications with high-volume clickstream or event-driven data
- Strong experience with modern data architectures (batch and streaming ingestion, warehouse/lakehouse modeling, orchestration, CI/CD for data)
- Deep experience with modern data warehousing or lakehouse architectures and leading migration or modernization efforts to improve scalability, performance, and cost efficiency
- Experience with DBT and structured transformation practices
- Experience supporting personalization, experimentation, or ML-driven products
- Demonstrated ability to manage competing stakeholder demands while setting and protecting platform strategy
- Expertise in DataOps and security