Data Product Engineer (Databricks)

Role Overview

We are seeking a Data Product Engineer to join our team in [city], [stateProvince], [country]. The successful candidate will lead the design and implementation of enterprise Data Product standards, architecture patterns, and engineering practices within the Databricks ecosystem.

What You Will Do

The Data Product Engineer will partner with business stakeholders, Risk domain teams, Data Product Owners, and technology leadership to identify high-value data products that support critical business use cases and analytics outcomes.

Why It Might Be a Fit

The successful candidate will have strong communication and consulting skills with the ability to lead architecture workshops, executive discussions, and technical solution reviews.

Requirements

• Minimum 10+ years of experience in Data Engineering, Data Architecture, Analytics Engineering, or Enterprise Data Management.
• Minimum 5+ years of experience designing and implementing modern cloud-based data platforms and data products.
• Minimum 4+ years of hands-on Databricks experience, including Delta Lake, Unity Catalog, Workflows, MLflow, and Lakehouse architecture patterns.
• Minimum 5+ years of experience designing scalable data architectures and distributed data processing solutions.
• Minimum 4+ years of experience building enterprise data pipelines using Spark, Python, SQL, and cloud-native technologies.
• Minimum 3+ years of experience implementing Data Product operating models, Data Mesh concepts, domain-driven data ownership, or product-oriented data delivery approaches.
• Minimum 3+ years of experience delivering cloud-based solutions on Azure, AWS, or Google Cloud Platform.
• Experience implementing data governance, metadata management, data quality frameworks, lineage, and security controls within modern data platforms.
• Experience designing reusable engineering standards, architecture patterns, and platform accelerators that support large-scale enterprise adoption.
• Experience engaging directly with business stakeholders to translate business requirements into scalable data product solutions.
• Strong communication and consulting skills with the ability to lead architecture workshops, executive discussions, and technical solution reviews.

Benefits

• Dental insurance
• Vision insurance
• Healthcare
• PTO
• Retirement
• Learning budget
• Parental leave
• Wellness
• Visa/relocation support
• Remote flexibility
• Stipends
• Bonus/commission

Tagged as: Python, SQL