Staff Data Engineer

2 days ago

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LocalStack

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SaaS • Productivity • Developer Tools

LocalStack is a tool that enables developers to run and test their AWS applications locally, facilitating faster development and reducing AWS costs. By serving as a localized emulator for AWS, LocalStack simplifies the development and testing process, allowing teams to focus on building and deploying applications without the overhead of managing AWS dev accounts. It offers features like local AWS service emulation, enhanced development speed, and reduced complexity in cloud application testing. This makes it a popular choice among development teams looking to improve productivity and efficiency in cloud-based projects, all while minimizing cloud expenses.

11 - 50 employees

Founded 2017

☁️ SaaS

⚡ Productivity

📋 Description

• Create and drive adoption of a coherent, scalable data platform architecture that supports high-volume events, relational analytics, and user-persona-aligned design • Introduce and champion modelling, lineage, quality, and operational practices that make data reliable, observable, and easy for different personas to use, resulting in fewer incidents and clearer cost transparency. • Establish and evolve operational reliability patterns: SLOs, debugging flows, efficiency improvements, that measurably increase resilience and reduce operational load. • Increase self-serve adoption and reduce onboarding time and dependence on the platform team by shaping platform interfaces, semantics, and user experiences • Define the process for build/buy decisions, designing effective tooling stack, communicating and defending these decisions to the relevant stakeholders • Work collaboratively together with other stakeholders outside of the data team to influence decision making and overall roadmap • Driving implementation of the data strategy, aligning teams on technical roadmap: decisions are understood, trade-offs are accepted, and ambiguity is reduced through clear communication and narrative • Define processes how the data team collaborates with other teams in LocalStack, reducing cross team friction

🎯 Requirements

• Proficient in Python, SQL, and AWS data services (S3, Glue, EMR, ECS, Lambda). • Experience designing hybrid data platforms (streaming, batch, warehouse/lakehouse). • Strong data modelling skills, including semantics, lineage, cataloguing, and metadata management. • Familiar with orchestration patterns and full data lifecycle design. • Experience with BI and orchestration tools supporting analytics and platform workflows. • Experience of Leading architectural decisions across modelling and ingestion. • Experience mentoring data engineers, levelling up the technical capabilities in the team • Experience in working remotely/ in async settings (preferred)

🏖️ Benefits

• Fully remote • Competitive salary • Opportunities for professional development and training. • Dynamic and collaborative work environment. • Flexible work arrangements.