Senior/Principal Data Architect

Gallup • San Francisco, CA

15h • $195,000 - $300,000 • Onsite

About The Position

Lead the architecture that will transform fragmented workflows into a trusted data and intelligence platform.
As a senior/principal data architect at Gallup, you’ll own the technical vision for our enterprise data platform and help build a modern data foundation that enables product, analytics and research teams to spend less time preparing data and more time generating insights, serving clients and innovating with confidence.
If you want to lead the way in raising the technical bar for how data are managed across a global organization, apply today.

Requirements

• Master’s degree in computer science, computer engineering or a related field, or equivalent experience, required
• At least eight years of technical leadership (e.g., senior architect, engineering manager) experience required
• Experience leading or contributing to modern data platform transformations required
• Experience designing and implementing multilayered data architectures required
• Experience building or leading an ingestion framework required
• Hands-on experience with cloud storage required; AWS experience preferred
• Experience orchestrating data workflows using Airflow or Dagster, including running dbt workloads, required
• Expertise in SQL and deep data modeling required
• Familiarity with lakehouse patterns and platforms such as Snowflake or Databricks required
• Familiarity with modern data ecosystem tooling such as data governance and observability required
• A commitment to working on-site at Gallup’s San Francisco office at least three days per week required

Nice To Haves

• Transformation experience: You have led or contributed to modern data platform transformations, and you know how to sequence work under real constraints.
• Hands-on technical leadership: You have led architecture from vision through execution, personally building platform foundations, mentoring engineers and establishing durable data practices.
• Practical architecture judgment: You are comfortable designing durable systems in imperfect environments where workflows are file-based and institutional knowledge lives with people, not platforms.
• Modern data foundation mindset: You think in layered architectures (raw → curated → semantic) and design for reliability, observability, quality and reuse.
• Trusted cross-functional partnerships: You have built credibility with product and business leaders by translating complex technical concepts into clear trade-offs that inform investment decisions and drive momentum.
• Experience working on AI-adjacent data needs where data quality and reproducibility matter is a plus

Responsibilities

• Own the technical vision and architecture for Gallup’s data and intelligence platform to support analytics, science and future AI use cases while maintaining backward compatibility
• Lead the design and delivery of Gallup’s data lake, including centralized storage, standardized processing and analytics-ready data layers
• Design automated, reliable data pipelines that replace manual and file-based workflows across product, analytics and research teams
• Establish standards and best practices for data modeling, data quality, pipeline monitoring and schema evolution
• Partner with product, research, operations and engineering leaders to translate business needs into scalable data foundations
• Improve data reliability, reuse and observability to reduce processing time and operational friction
• Provide technical leadership and mentorship to data engineers, upleveling skills and modern data working practices

Benefits

• Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior