Data Architect

We’re hiring a senior AWS Data Engineer to step into a high-impact transformation role inside a large-scale enterprise environment operating at start-up pace. This position is 80% hands-on Data Engineering and 20% Data Architecture ideal for someone who wants to be on the keyboard driving production delivery now, with a clear pathway into architectural ownership. Important: We are specifically looking for individuals who have worked in start-up or high-growth environments people who are comfortable with ambiguity, fast decision-making, and building while stabilizing. What You’ll Be Doing: 80% Data Engineering (Hands-On Delivery) • Build and deploy robust Python-based ETL pipelines on AWS • Stabilize and improve reliability across a live enterprise data platform • Deliver production-ready code during a major AWS restructuring initiative • Step in during critical delivery moments and solve real production issues 20% Data Architecture (Strategic Influence) • Shape long-term platform direction and design decisions • Provide technical guidance to engineering teams (no line management) • Transition into greater architectural ownership within 3–6 months Tech Stack: Core Requirements: • Strong experience in AWS cloud environments • Advanced Python for data engineering • Proven background building and maintaining ETL / Data Pipelines Nice to Have: • Cloud data architecture experience & strong SQL • Spark experience highly valued • Exposure to Azure Data Factory, GCP, Databricks, Scala, or Java Who This Suits: • Engineers who have worked in start-up or transformation environments • Individuals comfortable owning delivery without layers of bureaucracy • Technically strong professionals who want to evolve into architecture • Builders who prefer solving problems over sitting in slide decks