This job post is closed and the position is probably filled. Please do not apply.
🤖 Automatically closed by a robot after apply link
was detected as broken.
Description:
LocalStack, a fast-growing startup, is looking for a Senior/Staff Data Platform Engineer to design and build scalable data architectures, develop data models, and implement data solutions.
The role involves working on high-volume product telemetry, data warehouse, semantic metadata layer, continuous data quality checks, schema evolution, and real-time data transformation pipelines.
Responsibilities include designing data architectures, building data pipelines, integrating data sources, driving real-time insights, collaborating with cross-functional teams, taking ownership of initiatives, and hands-on implementation of data tools.
The ideal candidate should have experience in building and optimizing data pipelines, scalability, knowledge of modern data tools, problem-solving skills, teamwork abilities, and documentation skills.
Requirements:
Proven experience in building and optimizing data pipelines.
Expertise in implementing scalable solutions for increasing data volumes.
Strong knowledge of modern data tools and technologies.
Proactive problem solver with a can-do attitude.
Ability to collaborate with diverse teams and stakeholders.
Proficiency in creating clear and accessible documentation for data processes.
Benefits:
Dynamic and productive work environment with flexible work hours and fully remote-friendly policies.
Opportunities for professional growth and influence within the cloud software development community.
Competitive salary packages based on experience and expertise.
Chance to work with industry experts and shape the future of cloud software development.