Teams at Simple Machines

Lead the architecture and hands-on development of cloud-native data platforms, real-time and batch pipelines, data products, and scalable storage systems. Work with Databricks, Snowflake, AWS, GCP, Spark, Flink, and related technologies. Provide technical direction, establish engineering standards, mentor engineers, ensure data quality and security, and advise clients on pragmatic platform and architecture decisions.

Provides senior technology and people leadership across complex software engineering engagements. Leads architecture, technical quality, enterprise client relationships, consulting pursuits, proposals, and technology growth. Advises senior stakeholders, shapes AI-native and agentic solutions, develops strategic accounts, wins new work, and mentors engineers, technical leads, principal engineers, and architects across the UK and Europe.

Lead data-focused business analysis for data platform, data product, and governance engagements. Act as the customer proxy, investigate and validate data using SQL, interpret models and mappings, and translate business needs into technical requirements. Facilitate workshops, define acceptance criteria, support prioritization and UAT, and produce clear documentation. Partner with technical leads to shape solutions and apply a data product perspective focused on outcomes, value, and delivery.