Sr. Data Engineer

Job Title: Senior Data Engineer Job Type: Full-Time (Remote) ARMRA Schedule: Monday-Friday, 9am - 6pm EST About ARMRA: ARMRA® was born from a near-fatal health crisis that forced its Founder & CEO, Dr. Sarah Rahal, to uncover what modern life has stolen. As a pediatric neurologist, she turned to exhaustive research and ancient wisdom to find a solution—not just for herself, but for the growing health crisis affecting us all. Your body isn’t broken—it’s brilliantly designed for strength, resilience, and vitality. But the modern world scrambles the signal, disconnecting you from the intelligence encoded within. ARMRA Colostrum™ is nature’s original blueprint with 400+ bioactive nutrients that restore what modern life strips away. It works at the cellular level to remind your body of its original code and reawaken its innate intelligence—so you can reclaim your birthright to thrive. Who We Are • Builders, not passengers – We take ownership, thrive on momentum, and embrace challenges. • Resilient and resourceful – We find a way forward, even when the answer isn’t obvious. • Mission-driven – We believe in what we’re building and are passionate about making an impact. • Direct and constructive – Feedback is a gift, and we embrace it in order to grow. • ONE ARMRA – We succeed together, as one team. Who We Are Not • Performative – We don’t play games, manipulate optics, or curate an image for external approval. • Entitled – We don’t expect rewards without contribution. • Clock punchers – We don’t attract those looking for just a "job"; we seek individuals who want to build careers, take ownership, and find joy in their work every day. • Divisive – We talk about problems and projects, not people. There’s no “your team” or “my team” - there’s only ARMRA’s team. The Role: As a Senior Data Engineer at ARMRA, you'll be a mission-critical builder responsible for designing and managing the data infrastructure that powers our business. You'll take ownership of our data pipelines, including the configurations & integrations of key platforms, ensuring our data is clean, reliable, and accessible to enable data-driven decision-making across the business. This role will also be crucial in troubleshooting and solving complex data issues as they arise, playing a direct role in our continued growth and operational excellence. Responsibilities: Technical Infrastructure & Operations: • Monitor data pipeline performance, set up alerting systems, and establish SLA metrics for data availability and freshness. • Design and implement disaster recovery and backup strategies for critical data systems. • Optimize query performance and manage costs in data solutions through partitioning, clustering, and query optimization. • Version control data pipeline code and maintain CI/CD practices for data infrastructure. Data Architecture & Strategy: • Contribute to the overall data architecture strategy and technology roadmap. • Design and maintain data models that support both operational and analytical use cases. • Implement real-time streaming data solutions where business requirements demand low-latency insights. Compliance & Documentation: • Ensure compliance with data privacy regulations (GDPR, CCPA) relevant to e-commerce customer data. • Create and maintain comprehensive documentation for data flows, transformations, and system architecture. • Develop data lineage tracking to understand data provenance across the organization. Collaboration & Business Impact: • Partner with the Director of BI to optimize data structures for machine learning and advanced analytics. • Work closely with Engineering teams to implement proper event tracking and data collection standards. • Translate business requirements into technical data solutions and communicate technical concepts to non-technical stakeholders. Performance & Scalability: • Design systems to handle seasonal traffic spikes common in e-commerce (Black Friday, product launches). • Implement data validation and testing frameworks to catch issues before they impact downstream users. Qualifications & Skills: • You have 5+ years of experience as a Data Engineer or in a similar role. • You have extensive experience with SQL and designing database schemas. • You are an expert in building and optimizing data pipelines using tools like dbt, Airbyte, Airflow, or similar orchestration platforms. • You are comfortable with cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift). • You have strong experience with modern data tracking methodologies, including server-to-server tracking (e.g., Blotout or other 1P data capture pixels). • You have a deep understanding of DTC e-commerce data (Shopify, Google Analytics, etc.). • Experience working with data from subscription management platforms (e.g., StayAI). • Familiarity with business intelligence tools like Looker, Tableau, or Power BI. • Experience with Git for version control. • You have a solid grasp of data modeling, data governance, and data security principles. • You have excellent problem-solving skills and can translate business requirements into technical solutions. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, ancestry, sex, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, veteran status or other characteristics.