Lead Engineer – Data Streaming

Role Overview

• 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.

Tech Stack

• Amazon Redshift
• Ansible
• Cloud
• Distributed Systems
• Docker
• ETL
• Kafka
• Kubernetes
• Oracle
• Postgres
• Python
• SQL
• Terraform

Benefits

• Flexible work environment
• Internal mobility
• Purpose and well-being focus
• Work-life balance
• Inclusive environment
• Volunteer opportunities