Modern data platforms You’ll architect and implement data platforms end-to-end. You have deep familiarity with modern data architecture - warehouse vs. data lake, table formats, ELT patterns, semantic layers, orchestration - and you’ve implemented Snowflake, BigQuery, or Databricks in production. You know when to use what, and why. Our customers will look to you for recommendations - you should have an equally strong understanding of both first principles data engineering and modern tooling.
Data models built for new consumption patterns You’re opinionated about data modeling. You’ve worked with star schema, Data Vault, OBT, etc. and you can argue for the right approach given the business context. You design models for business, analytics and AI consumption.
Streaming and real-time systems You’ve implemented streaming pipelines in production, and are familiar with popular technologies such as Kafka, Flink, Redpanda, or similar. You understand the operational realities of streaming: schema evolution, backpressure, exactly-once semantics, and when batch is the right answer. You understand that with agentic consumption, the need for “near real time” data is more prevalent than ever.
Client-facing delivery You’ll work directly with client teams - scoping requirements, presenting architecture decisions, and walking stakeholders through tradeoffs. You communicate clearly with both engineers and business leaders, and you’re oriented toward results, not just technically elegant solutions.