Jobgether

Compensation

Full Description

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. This senior role offers the opportunity to lead the design and implementation of next-generation data and AI systems that support critical business operations at scale. You will shape the architecture for petabyte-scale ingestion, transformation, and analytics across multiple SaaS products, ensuring high-quality, reliable, and auditable data. This position blends hands-on engineering with strategic influence, including mentoring senior engineers, designing AI-driven data operations, and setting standards for semantic layers, metrics, and observability. It is ideal for someone passionate about AI, data quality, and building robust systems that empower both internal teams and customer-facing analytics. The role operates in a collaborative, innovative, and fast-paced environment, where technical leadership directly impacts business outcomes. Accountabilities: · Lead end-to-end data and AI architecture for large-scale ingestion, transformation, modeling, and serving pipelines. · Design and maintain semantic layers, DBT models, metrics, and domain-specific definitions for both internal analytics and external reporting. · Build and deploy AI agents for data quality, model creation, and operational efficiency. · Ensure robust data quality, observability, and governance using rules, statistical methods, and ML techniques. · Lead LLM data preparation, curation, and secure pipelines while enforcing compliance for sensitive data. · Establish domain-driven standards including data contracts, SLOs, ownership, and documentation best practices. · Optimize performance and cost of data systems, including Snowflake compute patterns, clustering, and caching strategies. · Collaborate with product, engineering, and compliance teams to translate requirements into durable, auditable models and APIs. · Mentor senior engineers, provide technical guidance, and drive adoption of best practices in data engineering and AI systems. · 10+ years of experience in data engineering or architecture at scale, with hands-on Snowflake and DBT expertise. · Strong SQL and Python skills, with a proven track record designing and deploying production-grade AI/LLM systems. · Experience building semantic layers and metric stores serving internal analytics and external compliance reporting. · Expertise in data quality, observability, CI/CD integration, and anomaly detection. · Background in distributed data processing and streaming technologies such as Spark, Flink, Kafka/Kinesis. · Knowledge of ML/MLOps practices for data operations, model evaluation, monitoring, and governance. · Understanding of security, privacy, and regulatory compliance for sensitive financial or tax data (SOC 2, ISO 27001, GDPR/CCPA). · Strong leadership, collaboration, problem-solving, and communication skills. · Competitive salary range based on location and experience. · Performance-based bonuses and merit increases. · Comprehensive health, life, and disability insurance. · Paid time off and parental leave. · Flexible remote work arrangements. · Inclusive, diverse, and collaborative work environment with employee resource groups. · Opportunities for professional growth, mentorship, and leadership in AI and data initiatives. 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 3 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, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1