Staff Data Engineer / Principal Data Engineer

About the Role :

We are seeking a highly experienced Staff Data Engineer to lead the architecture and implementation of enterprise-scale data platforms supporting large-scale analytics, AI initiatives, and business-critical decision-making. The ideal candidate will bring deep expertise in modern data engineering, cloud technologies, data lakehouse architectures, and real-time data processing while driving technical strategy and mentoring engineering teams.

Key Responsibilities :

- Design and architect scalable, enterprise-grade data solutions aligned with business objectives.

- Build and optimize large-scale data platforms using Snowflake, AWS, Apache Kafka, and Apache Iceberg.

- Lead implementation of real-time data pipelines and event-driven architectures.

- Drive data warehouse optimization, cloud cost management, and performance tuning.

- Develop and enhance lakehouse, dimensional modeling, and analytics solutions.

- Collaborate with senior leadership to define and execute data strategy.

- Mentor senior engineers and guide architectural decision-making across teams.

- Lead complex, cross-functional initiatives spanning multiple engineering groups.

- Support advanced analytics, AI/ML use cases, and data governance initiatives.

Required Skills & Experience :

- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

- 10+ years of hands-on experience building large-scale data platforms.

- Expert-level SQL and Python programming skills.

- Strong experience with Snowflake, including architecture, optimization, and cost management.

- Expertise in Apache Kafka, Apache Iceberg, AWS, DBT/SQLMesh, and modern data stack technologies.

- Proven experience designing Kimball dimensional models and star-schema data warehouses.

- Hands-on experience with CI/CD pipelines, Git workflows, and data governance frameworks.

- Knowledge of GDPR, PCI-DSS, and enterprise data compliance standards.

- Experience working with high-volume data environments processing billions of events.

- Exposure to AI/ML ecosystems, MLOps, LLM integrations, and vector databases is preferred.

- Experience in cybersecurity, ad-tech, subscription-based businesses, or similar large-scale data environments is a plus.

What We're Looking For :

A technical leader with exceptional architecture skills, strategic thinking, and a proven ability to deliver high-impact data solutions at enterprise scale while influencing engineering teams and business outcomes.