Staff Engineer - Data Platform and Lakehouse (R... @ Jobgether
Your Application Journey
Email Hiring Manager
Job Details
Staff Engineer - Data Platform and Lakehouse
This position is posted by Jobgether on behalf of Curinos. We are looking for a senior engineering leader to design and implement a cloud-native data platform powering advanced analytics, AI, and machine learning applications.
Key Responsibilities
- Design, implement, and maintain scalable, secure data platforms on Databricks and AWS.
- Provide architectural leadership to ensure consistency, resilience, and high performance across distributed systems.
- Develop reusable data pipelines, workflows, and ETL/ELT processes using Databricks Workflows, Airflow, or AWS Glue.
- Translate business objectives into technical capabilities in collaboration with product and cross-functional teams.
- Support AI/ML initiatives, including feature engineering, model deployment, and real-time data processing.
- Drive adoption of data governance standards including access control, metadata management, lineage and compliance.
- Establish CI/CD pipelines and DevOps automation for data infrastructure.
- Evaluate and integrate emerging technologies for development, testing, deployment, and monitoring.
Required Experience & Skills
- 15+ years of experience in software development with full SDLC experience.
- Proven expertise designing and implementing cloud-native architectures on Databricks and AWS.
- Deep expertise in Apache Spark and distributed computing best practices.
- Advanced proficiency in Python and SQL.
- Hands-on experience with Databricks Unity Catalog, Feature Store, and Delta Live Tables.
- Strong understanding of ETL/ELT, data quality validation, observability, and monitoring practices.
- Experience supporting AI/ML workloads and SaaS product integrations.
- Excellent communication and collaboration skills with cross-functional teams.
Compensation & Benefits
Competitive salary range: $170,000–$190,000 plus bonus potential, with comprehensive financial, health, and lifestyle benefits. Flexible working options include fully remote or hybrid schedules in major U.S. metropolitan areas. Enjoy generous annual leave, floating holidays, volunteering days, and a birthday day off, along with learning and development programs.
About the Process
Jobgether uses an AI-driven, transparent, and skills-based screening process to shortlist candidates. Your CV and LinkedIn profile are evaluated and compared against key success factors before the final decision is made by Curinos' internal hiring team.
Key skills/competency
Staff Engineer - Data Platform and Lakehouse, Databricks, AWS, Apache Spark, Python, SQL, ETL, AI/ML, CI/CD, Data Governance
How to Get Hired at Jobgether
🎯 Tips for Getting Hired
- Research Curinos' culture: Understand their mission and recent projects.
- Customize your resume: Highlight your cloud-native data platform experience.
- Practice technical interviews: Prepare examples showcasing Databricks and AWS expertise.
- Leverage networking: Connect with current employees on LinkedIn.