Lead Engineer, Data Streaming

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🕒 July 1

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Design and implement scalable data platform solutions, including data streaming, CDC, data warehouses, data lakes, and ETL/ELT pipelines • Contribute to and help enforce platform standards, best practices, and design patterns for cloud-based data technologies • Build and support end-to-end data integration pipelines from source systems through Kafka/Striim (or similar) into analytical and operational platforms • Lead technical design discussions and contribute to architecture reviews for complex data solutions • Ensure high reliability and performance of data platforms through observability, monitoring, and proactive issue resolution • Act as a senior escalation point for troubleshooting production issues and optimizing system performance • Partner with platform engineering, security, and data governance teams to align implementations with enterprise standards • Promote an automation-first mindset by implementing CI/CD pipelines, infrastructure as code, and testing frameworks • Contribute to operational resilience through robust error handling, replay capabilities, and validation strategies • Evaluate and adopt new tools and technologies to continuously improve the data platform ecosystem • Mentor and guide engineers, fostering strong engineering practices and technical growth across the team

🎯 Requirements

• Bachelor’s degree in Computer Science or equivalent experience • 8+ years of software or data engineering experience with demonstrated technical leadership • Strong hands-on experience building and operating large-scale data platforms in production environments • Experience designing and maintaining CI/CD pipelines for data and platform engineering workflows • Experience with databases and data platforms such as Oracle, PostgreSQL, Redshift, Snowflake, and Kafka (or similar technologies) • Familiarity with containerization and infrastructure tools such as Docker, Kubernetes, Terraform, and Ansible • Strong programming and querying skills (e.g., Python, SQL) • Solid understanding of distributed systems, cloud architectures, and data engineering design patterns • Strong problem-solving, communication, and collaboration skills

🏖️ Benefits

• flexible work environment • fluid career paths • celebrate internal mobility • well-being and work-life balance • welcoming and inclusive environment • volunteering for causes that matter most