Staff Software Engineer, Data Warehouse Foundation
LaddersAbout the role
For our client, we are seeking a Staff Software Engineer, Data Warehouse Foundation to join the team of a leader in the Consumer Technology space.
This role will shape the architecture and evolution of a large-scale data warehouse foundation that supports analytics, engineering, and product decision-making across a high-growth consumer platform. You will lead complex technical initiatives that improve storage access patterns, scalability, and analytical velocity while partnering closely with cross-functional teams. The position also includes mentoring engineers and raising the bar for design quality, execution, and technical standards. In addition, you will help drive the adoption of AI-enabled tooling to improve data pipeline authoring and engineering productivity.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $177,185 – $364,795 annually
Responsibilities
Define and design the company's data warehouse architecture and storage access patterns
Lead complex, cross-functional initiatives in data warehouse and analytics domains
Mentor engineers and elevate technical standards through leadership on design and execution
Collaborate with Product, Data Science, and Engineering teams to address user needs and align on objectives
Drive the vision and execution of scalable solutions for increasing data volume and analytical velocity
Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
8+ years of relevant industry experience with large-scale data warehouses, data tools, and platforms
5+ years of building data warehouses and tools using technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, and DataHub
Ability to collaborate with cross-functional partners across multiple organizations
Hands-on experience with AI coding tools for building tools and data pipelines
Experience building AI tools and platforms to enhance data pipeline authoring and engineering productivity
Benefits
Equity participation in the company
Flexible working model
Commitment to workplace equity, inclusion, and inspiration
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Define and design the company's data warehouse architecture and storage access patterns
- Lead complex, cross-functional initiatives in data warehouse and analytics domains
- Mentor engineers and elevate technical standards through leadership on design and execution
- Collaborate with Product, Data Science, and Engineering teams to address user needs and align on objectives
- Drive the vision and execution of scalable solutions for increasing data volume and analytical velocity
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
- 8+ years of relevant industry experience with large-scale data warehouses, data tools, and platforms
- 5+ years of building data warehouses and tools using technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, and DataHub
- Ability to collaborate with cross-functional partners across multiple organizations
- Hands-on experience with AI coding tools for building tools and data pipelines
- Experience building AI tools and platforms to enhance data pipeline authoring and engineering productivity
Benefits
- Equity participation in the company
- Flexible working model
- Commitment to workplace equity, inclusion, and inspiration
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.