Remote Staff Engineer - Data Platform and Lakehouse (Remote - US)

Description:

• This position is for a Staff Engineer – Data Platform and Lakehouse at Curinos, located in the United States.
• The role involves designing and leading the implementation of a cloud-native data platform that supports advanced analytics, AI, and machine learning applications.
• The Staff Engineer will collaborate with cross-functional teams, including product managers, engineers, and data scientists, to create scalable, secure, and high-performance data solutions.
• Responsibilities include balancing strategic architectural leadership with hands-on engineering, optimizing distributed data systems, and supporting the development of next-generation AI and SaaS products.
• The candidate will influence platform adoption, data governance, and automation standards to achieve high reliability, scalability, and operational efficiency across the data ecosystem.
• Key accountabilities include designing, implementing, and maintaining data platforms on Databricks and AWS, providing architectural leadership, developing reusable data pipelines, and supporting AI/ML initiatives.

Requirements:

• Candidates must have 15+ years of experience in software development, covering the full software development lifecycle from design to deployment and support.
• Proven ability to design and implement cloud-native data architectures on Databricks and AWS is required; experience with Azure or GCP is a plus.
• Deep expertise in Apache Spark, including performance tuning and distributed computing best practices, is necessary.
• Advanced proficiency in Python and SQL, along with solid software engineering foundations, is required.
• Hands-on experience with Databricks Unity Catalog, Feature Store, Delta Live Tables, and data pipeline orchestration tools is essential.
• A strong understanding of ETL/ELT design, data quality validation, observability, and monitoring practices is needed, with experience in Monte Carlo preferred.
• Experience supporting AI/ML workloads and SaaS product integrations is required.
• Strong communication and collaboration skills for working with engineers, product managers, and data scientists are essential.
• Knowledge of data governance, security, compliance, and metadata management best practices is necessary.
• A strategic mindset with the ability to align technical decisions with business goals is required.

Benefits:

• The position offers a competitive salary range of $170,000–$190,000 plus bonus potential.
• Flexible working options are available, including fully remote or hybrid schedules in major metropolitan areas such as NYC, Boston, and Chicago.
• Comprehensive financial, health, and lifestyle benefits are provided.
• Employees receive generous annual leave, floating holidays, volunteering days, and a birthday day off.
• Learning and development programs are available to support career growth.
• The company promotes a collaborative and inclusive culture with DE&I initiatives and regular social/networking events.
• An Employee Assistance Program is offered, providing wellbeing, counseling, legal, and financial support.