Own the design of data models and structures for analytics purposes; collaborate with our consulting partner and internal team members to bring them to life and iterate based on what actually works in practice.
Design data ingestion and transformation pipelines that are maintainable, observable, and appropriately documented—not just functional at launch.
Define the security model for data access, with genuine attention to the intersection of data privacy requirements, compliance obligations, and the usability needs of internal teams.
Lead tool evaluation and selection across ingestion, data lake, data governance, and data catalog—with a process that produces clear, reasoned recommendations, not just vendor comparisons.
Ingest priority data sources into our data warehouse or lake and prepare them for analytical use, including validating that the data is trustworthy before downstream teams depend on it.

3+ years working with cloud data architecture on AWS or Azure—specifically in the context of modern data platforms, not general cloud infrastructure.
3+ years producing architecture diagrams and data flow documentation using tools like Miro or Microsoft Visio clearly enough that both engineers and non-technical stakeholders can act on them.
2+ years leading tool evaluation and selection processes, including facilitating stakeholder input, managing vendor conversations, and producing written recommendations that hold up to scrutiny.
Demonstrated expertise in ELT design and execution—you have real opinions about where transformation logic should live and why.
Experience designing and managing modern data platforms including data lakes, data warehouses, and the pipelines that connect them.
Strong analytical instincts: you can receive a raw data dump, understand its provenance and limitations, and identify what it will and won't support analytically.

Data Architect

Key skills