Senior Data Platform Engineer

Empower is dedicated to transforming financial lives by providing a flexible work environment and celebrating internal mobility. The Senior Data Platform Engineer is responsible for designing, building, and supporting scalable data platform solutions, collaborating with cross-functional teams to implement data integration and platform capabilities.

Responsibilities:

• Design and implement data platform solutions including data streaming, CDC, data warehouse, data lake, and ETL/ELT pipelines using modern cloud-based technologies
• Contribute to the development and adoption of best practices for data platform configuration management, observability, testing, and operational readiness
• Build and support end-to-end data integration pipelines from source systems through Kafka and/or Striim to analytical and operational targets
• Participate in engineering design sessions and code reviews for complex data solutions across multiple systems and platforms
• Troubleshoot and resolve production issues related to data platform performance, scalability, and reliability
• Collaborate with architects, platform engineering, security, and governance teams to align solutions with enterprise standards and data strategy
• Support implementation of operational resilience practices, including monitoring, alerting, and data recovery processes
• Evaluate and help adopt new technologies and tools that improve data platform capabilities
• Contribute to documentation, design artifacts, and engineering standards
• Mentor junior and mid-level engineers and support team development

Requirements:

• Bachelor's degree in computer science or equivalent experience
• 6–9+ years of software or data engineering experience
• Strong hands-on experience building and supporting data platforms in production environments
• Experience with CI/CD pipelines and automation for data platform deployments
• Experience with Oracle, PostgreSQL, Redshift, Snowflake, Kafka (or similar technologies)
• Experience with Docker, Kubernetes, Terraform, Ansible, or similar tools
• Strong competency in SQL and Python
• Solid understanding of distributed systems, cloud architectures, and design patterns
• Strong problem-solving, communication, and collaboration skills