Senior Cloud Data Engineer

Key Responsibilities:

Data Platform & Engineering

• Design and develop high-volume data ingestion components and ETL solutions from multiple internal and external sources.
• Build architectures for large-scale, real-time data streams and component services.
• Implement fault-tolerant, high-availability data systems.
• Ensure data quality, governance, and security controls across all ingestion and outflow processes.

Cloud & Big Data Solutions

• Develop and deploy solutions using Cloud Data Lake technologies and distributed/NoSQL architectures.
• Administer data warehouse strategy, including architecture, data models, marts, performance, and infrastructure components.
• Scale and optimize vendor and open-source technologies for big data solutions.

Collaboration & Leadership

• Participate in project planning, design sessions, and whiteboard discussions with architects, engineers, and operations teams.
• Mentor and train team members on data engineering best practices.
• Collaborate across development, infrastructure, business, and vendor teams to ensure successful project delivery.

Innovation & Strategy

• Research emerging technologies, frameworks, and industry trends to identify disruptive opportunities.
• Recommend data governance, security standards, and architectural guidelines to support development initiatives.