Principal Data Engineer (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Engineer in the United States.

In this role, you will lead the architecture and development of a next-generation data and AI platform, handling petabyte-scale data from multiple high-volume SaaS products. You will design scalable pipelines, semantic layers, and AI-driven data quality systems that power critical reporting and analytics. The position offers the opportunity to influence data strategy, mentor senior engineers, and implement cutting-edge AI solutions for financial and e-commerce applications. You will collaborate across teams to translate complex requirements into auditable, high-performance data models while driving innovation in data operations and AI-assisted workflows. The environment encourages technical leadership, problem-solving, and creating systems that impact both internal analytics and customer-facing solutions.

Accountabilities

• Lead end-to-end architecture for data ingestion, transformation, modeling, and serving across multiple SaaS products at petabyte scale.
• Design and maintain semantic layers, DBT models, metrics, and reporting systems for both customer-facing and internal analytics.
• Build and deploy AI agents for data operations, ensuring high-quality data pipelines, automated model maintenance, and semantic mapping validation.
• Develop and enforce data quality measures, monitoring, anomaly detection, and lineage tracking integrated with CI/CD and orchestration systems.
• Oversee LLM data preparation, curation, and secure pipelines for fine-tuning and retrieval-augmented workflows.
• Establish domain-driven standards, including data contracts, ownership, SLAs/SLOs, and coaching teams on best practices.
• Optimize system performance and cost, including compute patterns, partitioning, caching, and materialization strategies.
• Collaborate with product, compliance, and engineering teams to convert regulatory and business requirements into durable, auditable data models.
• Mentor senior engineers, conduct design reviews, and lead initiatives to improve code quality, testing, and platform reliability.

Requirements

• 10+ years of hands-on experience in data engineering and architecture, including Snowflake and DBT at scale.
• Expertise in SQL, Python, and building AI/LLM systems for data operations and quality management.
• Proven experience creating domain-oriented semantic layers and metrics stores for both external compliance reporting and internal analytics.
• Strong knowledge of data quality, observability, profiling, anomaly detection, and integration into CI/CD pipelines.
• Experience with distributed data processing and streaming systems (Spark, Flink, Kafka/Kinesis) and modern orchestration tools (Airflow, Dagster, Prefect).
• Practical experience with ML/MLOps, model lifecycle, monitoring, drift management, and governance.
• Understanding of security, privacy, and compliance requirements for financial and tax data (SOC 2, ISO 27001, GDPR/CCPA).
• Ability to mentor teams, communicate complex concepts clearly, and influence technical strategy.
• Comfortable presenting executive-level data stories and guiding technical decision-making.

Benefits

• Competitive base salary, with ranges varying by location and potential annual performance bonuses.
• Remote work flexibility while collaborating with high-performing teams.
• Comprehensive health and wellness benefits, including medical, life, and disability insurance.
• Paid time off and parental leave.
• Inclusive culture with multiple employee resource groups supporting diversity and equity.
• Opportunities for professional growth, skill development, and mentorship in a cutting-edge AI-first environment.
• Engagement in high-impact projects with global reach, influencing both product and operational analytics.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company managing the position. The final decision and next steps (interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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