Full-Time

Director – Data Engineering

Confirmed live in the last 24 hours

Live Ramp

Live Ramp

1,001-5,000 employees

Identity platform for people-based marketing

Data & Analytics
Cybersecurity

Compensation Overview

$183k - $270kAnnually

Senior, Expert

San Francisco, CA, USA

Category
Data Engineering
Data & Analytics
Required Skills
BigQuery
Data Analysis
Requirements
  • Over 10 years in technical roles, with at least 4 years leading technical teams.
  • Deep understanding of end-to-end data lifecycle technologies, including developing and maintaining a foundational data layer/semantic layer.
  • Expertise in cloud data warehousing, data transformation in an ELT/cloud-first data strategy, and data modeling.
  • Hands-on experience with BigQuery, DBT, and development with serverless methods preferred.
  • Ability to create and execute strategies and accompanying roadmaps, and communicate compelling visions aligned with organizational goals.
  • Track record of proactively and continuously engaging stakeholders to understand their needs and challenges.
  • Successfully managed complex data platform projects, ensuring adherence to SLAs related to data availability, reliability, and quality.
  • Experience delivering measurable results and KPIs related to data operations and governance.
  • Established and enforced data governance frameworks, including data classification, access controls, and retention policies aligned with data security, privacy, and compliance standards.
  • Exceptional communication skills, able to articulate complex technical concepts to both technical and non-technical stakeholders.
  • Ability to foster collaborative relationships across multidisciplinary teams, driving consensus and achieving strategic objectives.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related technical fields.
Responsibilities
  • Drive the evolution of our data platform and services with a focus on delivering measurable outcomes for our stakeholders.
  • Lead the development of a robust semantic layer to enable self-service by enhancing data accessibility and usability.
  • Champion modern data stack technologies and methodologies, educating teams on optimizing data workflows to drive business insights.
  • Lead, mentor, and manage a team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement.
  • Enhance governance processes across data and analytics development to ensure heightened quality, reliability, security, and compliance of our data platform.
  • Implement observability practices for proactive management and optimization of data Operations.
  • Collaborate closely with technical and non-technical teams to maximize the value of our data stack.
  • Ensure alignment with key processes, systems, and datasets to support organizational goals.
  • Design, implement, and maintain data pipelines and ETL processes that support data integration, transformation, and loading into our corporate data warehouse.
  • Manage project timelines, resource allocation, and priorities to ensure timely delivery of data engineering projects.

LiveRamp offers an identity platform that connects people, data, and devices for effective marketing. This platform supports people-based marketing, allowing businesses to target their audiences more accurately. LiveRamp operates on a subscription model, providing services like data onboarding and identity resolution to help clients unify and analyze their data. The company aims to empower businesses to use data responsibly while enhancing customer experiences.

Company Stage

IPO

Total Funding

$15.6M

Headquarters

San Francisco, California

Founded

2011

Simplify Jobs

Simplify's Take

What believers are saying

  • LiveRamp's partnerships with major players like Google Cloud and Amazon Ads position it as a leader in data collaboration and identity resolution.
  • The company's expansion into the APAC market and the launch of its next-generation platform indicate strong growth potential.
  • Recent strategic investments and acquisitions, such as the acquisition of Habu, bolster LiveRamp's capabilities and market position.

What critics are saying

  • The rapidly evolving privacy regulations could pose challenges to LiveRamp's data-driven business model.
  • The competitive MarTech landscape requires continuous innovation to maintain a leading position.

What makes Live Ramp unique

  • LiveRamp's focus on identity resolution and data connectivity sets it apart in the MarTech sector, enabling precise people-based marketing.
  • The company's strong emphasis on privacy and responsible data use is a significant differentiator in today's privacy-conscious market.
  • LiveRamp's extensive ecosystem of partnerships and integrations, including recent collaborations with Google Cloud and Amazon Ads, enhances its platform's capabilities and reach.

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