Data Platform Engineer

About Stability: 

Stability AI is a community and mission driven, open-source artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders and partners across the globe who are developing cutting-edge open AI models for Image, Language, Audio, Video, 3D and Biology.

About the role: 

We are looking for a Data Platform Engineer to design and build Stability’s data platform using AWS services. This begins with understanding our needs, selecting the appropriate tech stack and tools, gaining buy-in from stakeholders, and choosing the best long-term solution. This role will act as the technical thought leader for our data platform and will help hire and mentor other members of the team.

Responsibilities:  

  • Evaluate and choose the appropriate infrastructure including:
    • Event streaming
    • Data replication
    • Data collection API and SDKs
    • Data transformation tools
    • Data storage
    • Query engine
    • Data visualization tools for Business intelligence
  • Architect, implement, and monitor data pipelines, as well as conduct knowledge-sharing sessions with peers to ensure effective data use.
  • Work with team members and leaders to develop our data strategy.
  • Develop and maintain a data catalog so that we have a full understanding of the data and events within our platform.
  • Using an infrastructure-as-code provisioning solution for AWS, spin up a new data platform environment and begin collecting data from our applications and data sources.
  • Act as the primary technical decision-maker for the data platform and help hire and support a data scientist / BI developer and business analyst.
  • Analyze large amounts of data, both structured and unstructured, and create dashboards, queries, and visualization tools.

Qualifications: 

  • Must have 7+ years of hands-on experience working with data platforms
  • Experience being involved in the design and implementation of at least one data platform.
  • Experience in streaming and/or batch analytics.
  • Experience with AWS’s offerings for scalable distributed data processing, management, and visualization tools (e.g. Kinesis, Athena, Redshift, EMR, Kinesis).
  • Experience using business intelligence tools and data frameworks.
  • Strong working knowledge of Python for both provisioning cloud infrastructure and working with data.
  • We’re a remote-first company, and we need people who can do their best work from home, collaborate effectively, work asynchronously, and are proactive about reaching out to peers to get things done and/or get themselves unstuck. We can only hire people who have demonstrated success working remotely.
  • Must be able to specifically talk about business outcomes they’ve contributed to or driven. It’s not just good enough to “show up” to a job and “do stuff,” but rather, they should be able to give concrete examples of impact.
  • Enthusiasm, a “can do” attitude, and optimism when faced with difficult challenges.

Equal Employment Opportunity:

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. 

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