Senior Data Engineer II

We’re looking for a Senior Engineer II – Data Engineering to serve as the technical lead as we expand our Data Engineering capabilities. In this hands-on leadership role, you’ll help guide both the short-term evolution and long-term strategy of our data systems—evolving and expanding the systems that power internal analytics and customer-facing intelligence. You’ll collaborate across analytics, product, and engineering teams to ensure data is structured, secure, and ready to support our growth. 

As a foundational member of the data engineering function, you’ll lead the development of pipelines, platform capabilities, and infrastructure that enable trusted insights. As the team grows, you’ll help evolve the collaboration between engineering and analytics and shape how the broader data team evolves and scales. 

This is a chance to shape how data powers Hi Marley’s products, insights, and growth—delivering scalable systems, improving performance, ensuring compliance, and enabling meaningful impact through data. 

What You’ll Do:

Platform & Infrastructure 

• Lead Data Platform Strategy and Architecture – Help define and deliver a data platform roadmap that supports near-term needs and long-term scale—enabling insights, innovation, and customer value across our products and analytics ecosystem.
• Design and Build Scalable Data Infrastructure – Build robust systems to ingest, transform, store, and serve data across multi-tenant and single-tenant use cases—balancing flexibility, security, and performance.
• Deliver Trusted Data Pipelines – Develop reliable and observable pipelines using modern batch and near real-time approaches, connecting internal and external data sources.
• Champion Data Trust and Visibility – Advance practices in data quality, observability, and governance—ensuring our systems are secure, compliant, auditable, and built to meet customer and regulatory expectations. 

Enablement & Collaboration 

• Partner to Enable Insights – Work closely with the analytics and product teams to deliver structured, reliable data pipelines that support a growing ecosystem of dashboards, customer-facing analytics, and research—providing the trusted foundation for downstream insights. 

Leadership & Growth 

• Mentor and Influence Engineering Culture – Provide guidance, share knowledge, and lead by example to establish best practices and grow the data engineering function.
• Shape a Scalable Future – Partner with cross-functional leaders to define and evolve a data platform roadmap that grows with our customers, products, and teams. 

What We’re Looking For:

• Data Engineering Expertise – 7+ years of experience building reliable, performant data systems, including data modeling, ETL/ELT pipelines, and warehouse optimization.
• Scaled Platform Leadership – Experience growing data infrastructure through stages of scale—whether maturing internal systems, guiding platform modernization, or supporting enterprise-level requirements through times of growth.
• Proficiency with Modern Tools – Comfortable with SQL and Python (or similar languages), and hands-on experience with tools like dbt, Airflow, Redshift, Snowflake, or other cloud-native data platforms.
• Trust, Security & Governance Focus – Experience designing systems with built-in privacy, access controls, and governance. Familiarity with secure data handling, regulatory compliance, and data classification in multi-tenant or regulated environments.
• Collaborative and Strategic Mindset – Ability to work across product, engineering, and analytics teams to shape systems that deliver long-term value.
• Customer-Facing Data Enablement – Bonus: Experience designing backend systems that power customer-facing analytics or data-driven product features.
• Supportive Leadership Style – A mentoring mindset and enthusiasm for helping others grow while building a collaborative, inclusive culture.