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The Lead Software Engineer - Data / ETL is a hands-on technical leader responsible for setting direction for backend data and ETL solutions, guiding the team in following approved architecture, and owning delivery of complex, cross-cutting initiatives. This role defines and enforces best practices for data engineering on AWS, drives technical decisions, and serves as a key partner to architecture and business leadership in evolving the data platform.
What you will bring:
- Own the overall design and technical direction of ETL pipelines and backend data workflows using Python and SQL across multiple projects or domains.
- Architect and oversee large-scale, highly available data processing solutions on AWS using services such as Glue, EMR, Lambda, and S3.
- Define, standardize, and continuously improve CI/CD pipelines and engineering practices for data and application code across the team.
- Partner with enterprise and solution architects to ensure alignment with approved architecture patterns and long-term data platform strategy.
- Collaborate with product and business stakeholders to shape technical roadmaps and ensure solutions meet functional, performance, and security requirements.
- Serve as the primary escalation point for complex technical issues, data quality challenges, and performance bottlenecks that span teams or systems.
- Lead code reviews and technical design reviews, enforcing high standards for code quality, testing, documentation, and operational readiness.
- Mentor and coach engineers at all levels, building technical capability within the team and promoting a strong engineering culture.
- Drive continuous improvement in data and application architecture, development processes, observability, and reliability practices.
- Provide technical leadership during production incidents, root cause analysis, and long-term remediation efforts.
- Evaluate and champion new tools, frameworks, and approaches, including proof-of-concepts, to improve scalability, reliability, and delivery speed of the data platform.
What you will do:
- Bachelor s degree in Computer Science or related field, or equivalent practical experience.
- 7+ years of experience in software development, with deep experience in backend or data engineering and exposure to complex, distributed systems.
- Expert-level proficiency in Python for backend development and data processing.
- Expert-level proficiency in SQL, including advanced optimization, data modeling, and working with large-scale or complex datasets.
- Extensive hands-on experience with AWS data and compute services, including Glue, EMR, Lambda, and S3, and kafka topics
- Proven experience designing and governing CI/CD pipelines and engineering standards for teams or multiple projects.
- Strong understanding of data and software architecture, including patterns for scalable, resilient, and secure data-intensive systems.
- Demonstrated track record of technical leadership, including mentoring, setting standards, and driving architecture or platform decisions.
- Strong problem-solving and analytical skills with experience leading resolution of complex, cross-team issues.
- Excellent communication and influencing skills, with the ability to work effectively across engineering, architecture, and business stakeholders.
What will set you apart:
- Experience with Java or JavaScript is a plus, but not required.
