Lead Software Engineer
About The Position
America's Test Kitchen is looking for a Lead Software Engineer. The Lead Software Engineer (Data and Martech) is a senior technical leader embedded within a Scrum team, responsible for shaping how applications collect, process, and are delivered across the organization. This role sits at the intersection of software engineering, data architecture, and product delivery, ensuring that data systems are not only scalable and performant, but also reliable, well-modeled, and aligned to business needs. Operating with a high degree of autonomy, this individual is expected to navigate ambiguity, make sound architectural decisions, and deliver solutions that span multiple systems and stakeholders. They play a critical role in translating loosely defined product and analytics requirements into durable data platforms and pipelines that enable both operational and strategic use cases. Beyond delivery, the Lead Software Engineer sets the standard for engineering excellence within the team. They influence how work is structured, how quality is measured, and how systems evolve over time. Their presence should elevate the teams ability to deliver predictable, high-quality outcomes while reducing operational friction and improving data trust across the organization.
Requirements
- 7+ years of software engineering experience with a strong emphasis on data engineering
- Proven experience designing and operating scalable data pipelines and distributed data systems
- 3+ years of experience designing data solutions on AWS
- Proficiency in one or more programming languages such as Python, Java, or Scala
- Experience with modern data technologies (e.g., Spark, Kafka, Airflow, dbt, Snowflake, Redshift, BigQuery)
- Strong understanding of data modeling concepts, including dimensional modeling and data warehousing
- Experience working within Agile/Scrum teams and contributing to sprint planning and execution
- Hands on experience with real-time streaming and event-driven architectures
- Demonstrated ability to solve complex technical problems with minimal direction
Nice To Haves
- Experience implementing data governance, lineage, and cataloging solutions
- Exposure to machine learning workflows or data science collaboration
- Prior experience leading technical initiatives or influencing multiple teams
- Bachelor of Science in Computer Science or similar discipline
Responsibilities
- Design, build, and maintain scalable data pipelines and data services (batch and real-time)
- Lead the architecture and evolution of data models, ensuring they support analytics, reporting, and product use cases
- Break down complex data initiatives into actionable work aligned with Scrum delivery practices
- Partner with Product, Analytics, and Engineering stakeholders to gather and refine requirements
- Establish and enforce best practices for data engineering, including schema design, pipeline orchestration, and testing
- Implement and maintain data quality frameworks, including validation, monitoring, and alerting
- Define and uphold SLAs/SLOs for data availability, latency, and accuracy
- Contribute high-quality production code and conduct thorough code reviews across the team
- Identify, surface, and mitigate technical risks that could impact delivery or system reliability
- Drive observability across data systems using logging, metrics, and tracing tools
- Mentor engineers and elevate team capabilities in data engineering practices
- Influence technical direction across teams and contribute to broader platform strategy
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
