Staff Data Engineer

Overview

We are a fast‑growing Series A startup building cutting‑edge technology to revolutionise cloud development processes and support highly efficient dev & test feedback loops. We’ve closed our last $25 million round in Q4 2024, led by Notable Capital, CRV and Heavybit.

At its core, LocalStack provides a high‑fidelity emulator and local cloud development platform. Imagine developing cloud applications and data pipelines entirely on your local machine within a lightweight cloud sandbox, running in Docker!

Our mission is to empower developers to rapidly build and test their cloud applications, allowing for a more enjoyable dev experience, and saving valuable time and resources.

LocalStack has a large and active open‑source community (57k+ stars on GitHub) with over 100k active users worldwide and 290M+ downloads to date. Our customer base ranges from SMBs to Global Fortune 500 companies.

We are sustainably growing our globally distributed team across sectors. LocalStack is headquartered in Zurich/Switzerland 🇨🇭, with a main engineering office in Vienna/Austria 🇦🇹 and remote team members from 🇺🇸the US, 🇫🇷FR, 🇬🇧UK, 🇨🇦CA, 🇪🇸ES, and many more countries.

Role Overview

This is the right opportunity for a person who wants to help create a coherent, scalable and reliable data platform, driving implementation of the strategic roadmap and representing the data team to the whole organisation at the technical level.

Responsibilities

• 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 an effective tooling stack, communicating and defending these decisions to the relevant stakeholders.
• Work collaboratively with other stakeholders outside the data team to influence decision making and overall roadmap.
• Drive implementation of the data strategy, aligning teams on the 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.

Qualifications

• 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 leading architectural decisions across modelling and ingestion.
• Experience mentoring data engineers, levelling up the technical capabilities in the team.
• Experience in working remotely or in async settings (preferred).

Values

• Care: we create with compassion, prioritising empathy and understanding in every interaction.
• Ownership: we own the outcome, taking responsibility for our work and fostering autonomy.
• Openness: we build trust together, sharing ideas and embracing diverse perspectives.
• Courage: we dare to innovate, embracing bold challenges and taking calculated risks.
• Excellence: we chase the extraordinary, pushing boundaries and delivering results that go beyond the ordinary.

Benefits

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

How to Apply

To apply, follow the LinkedIn application process or apply on our career page. Include a short motivation outlining why you are the perfect candidate for this role. If your profile looks like a good match, we will be in touch to organise further steps within 2 weeks. Due to a high volume of candidates, we cannot offer personalised feedback to each candidate.

Additional Information

Seniority level: Mid‑Senior level. Employment type: Full‑time. Job function: Information Technology. Industries: IT Services and IT Consulting.