Sr. Data Engineer and Architect (Hybrid)
Role Summary
We are seeking an experienced Data Engineer cum Data Architect to design, build, and modernize enterprise-scale data platforms leveraging Snowflake, Python, and AI/ML technologies. The role involves defining data architecture, developing scalable data pipelines, enabling advanced analytics, and supporting AI-driven business solutions on cloud-based ecosystems.
Key Responsibilities
• Design and implement enterprise data architecture for scalable, secure, and high-performance data platforms.
• Develop and optimize data pipelines, ETL/ELT frameworks, and data ingestion solutions using Python and cloud-native services.
• Architect and manage Snowflake data warehouse solutions, including data modeling, performance tuning, security, and cost optimization.
• Build and support data solutions for AI/ML use cases, including feature engineering, model data preparation, and MLOps integration.
• Design dimensional models, data marts, and data lake architectures to support reporting, analytics, and machine learning workloads.
• Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into technical solutions.
• Establish data governance, metadata management, data quality, and security best practices.
• Drive cloud data modernization initiatives and recommend architecture improvements.
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan