Lead Data Engineer (Research) - Office of CTO

Posted 12 Days Ago
Hiring Remotely in United States
Remote
Senior level
Cloud • Software
The Role
The Principal Data Engineer will architect and implement scalable data solutions, lead the data engineering team, optimize data performance, and ensure data governance and security compliance. The role involves collaboration with product managers and technical mentorship to enhance the data ecosystem of the organization.
Summary Generated by Built In

Description

About the Role:
We are looking for an experienced leader of Data Engineering to join the newly formed Research Group under the Office of the CTO. In this role, you will play a pivotal part in building and scaling our data infrastructure, enabling clean, reliable, and organized data models that empower the organization to make informed, data-driven decisions. You will also be instrumental in providing high-quality data to support our AI/ML data scientists and other AI-driven initiatives. Using tools like Snowflake, Looker, and other modern data engineering technologies, you will lead the design and implementation of innovative data solutions. Additionally, you will have the opportunity to grow and manage a team of talented data engineers, shaping the future of our data ecosystem and driving innovation across the organization.

Responsibilities:

  • Architect & Design: Develop and implement scalable, reliable, and secure data pipelines and architectures using Snowflake and other modern technologies.
  • Lead Development: Lead the data engineering team in building and maintaining ETL/ELT workflows, ensuring high data quality and performance.
  • Optimize Performance: Continuously optimize Snowflake queries, data models, and storage to meet business needs and reduce costs.
  • Integrate Tools: Collaborate with analytics and business intelligence teams to integrate Looker and other tools into the data ecosystem.
  • Governance & Security: Define and enforce data governance policies, ensuring compliance with security and privacy regulations.
  • Mentor & Guide: Provide technical mentorship to data engineers and analysts, fostering a culture of learning and innovation.

Collaborate: Partner with product managers, analysts, and stakeholders to understand business needs and translate them into technical solutions.

Requirements
  • 12+ years of experience in data engineering, with at least 3 years in a lead or principal role.
  • Deep expertise in Snowflake architecture, performance tuning, and cost optimization.
  • Strong proficiency in SQL and data modeling best practices.
  • Experience with Looker and other similar BI platforms (ex. Tableau, PowerBI, Sigma)
  • Hands-on experience with ETL/ELT tools such as dbt, Matillion, or Airflow.
  • Familiarity with cloud platforms like AWS, Azure, or GCP.
  • Proven ability to design and implement scalable data pipelines in large-scale environments.
  • Strong communication skills and ability to work effectively with both technical and non-technical stakeholders
  • Strong understanding of data governance, security, and compliance requirements (e.g., GDPR, HIPAA).
  • Programming skills in Python or another scripting language.
  • Experience with real-time data processing technologies (e.g., Kafka, Spark).
  • Knowledge of machine learning pipelines and data science workflows.
  • Certifications in Snowflake, Looker, or cloud platforms.

About CloudZero:

Cloud cost management is one of the biggest challenges organizations face today. As cloud adoption continues to accelerate, so do the complexities and costs associated with it — and macroeconomic conditions only increase pressure to prove cloud efficiency. That’s why we built CloudZero: a SaaS platform at the intersection of next-generation cloud cost management and FinOps. CloudZero ingests billing and usage data from all cloud, SaaS, and PaaS providers, organizes it in real time according to our customers’ business structures, lets customers view it at any level of time or resource granularity, and ultimately empowers them to make more informed business decisions.

Since our founding in 2016, our mission has been to make efficient innovation a reality for every cloud-driven organization. At CloudZero, we believe every engineering decision is a buying decision, yet the cost conversation often bypasses the engineers who drive those determinations. To solve this, we’ve built a dynamic, single-page application that answers the complex, data-heavy questions every cloud-based organization needs to ask if they want to grow their company profitably.

To date, we’ve raised over from leading venture capital firms across the country. We’re solving problems of massive scale, business importance, and complexity in a space that needs it more than ever. We’re growing rapidly and would love for you to be a part of it!


Equal Opportunity Employer
CloudZero is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status or disability status. All job offers are contingent upon the candidate passing background and reference checks.

Top Skills

Python
Snowflake
SQL
The Company
HQ: Boston, MA
40 Employees
On-site Workplace
Year Founded: 2016

What We Do

CloudZero is the only cloud cost intelligence platform that puts engineering in control by connecting technical decisions to business results.

CloudZero ingests cost data from AWS and Snowflake, organizes it for analysis, and delivers the insights to engineering teams who can understand how their work is impacting the business.

You can answer question like:

* Who are my most expensive customers?
* Which product, feature, and team is spending the most?
* Has the profitability of my product changed quarter over quarter?

The outcome is real-time intelligence that helps companies control their cost of goods sold (COGS) and gross margins — aligning engineering and finance teams once and for all.

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