Senior / Lead Platform Forward Deployed Engineer - Cogentiq I2C

6 or more years in data platform or deployment engineering, with at least two years deploying into environments you did not control (client tenancies, regulated environments, or equivalent).

Deep Azure Databricks: Asset Bundles, workflows, Unity Catalog and metastore governance, cluster and library management, service-principal automation, and the CLI.

Strong Python and SQL, with the judgement to review pipeline code for idempotency, failure behaviour, and configuration hygiene, not just correctness.

PostgreSQL in production: schema evolution, write reliability, connection behaviour under load.

CI/CD for data platforms: Git-based release flows, semantic versioning, artefact repositories, and backward compatibility across component versions.

Domain literacy in order-to-cash and accounts receivable data: invoices, receipts, remittances, customer masters, and ERP AR structures in Dynamics 365 or SAP. You cannot validate a deployment whose data you do not understand.

Client-facing composure: you will be the technical face of the deployment to client IT and finance stakeholders.

Nice to have: Microsoft Fabric, observability design (OpenTelemetry, Application Insights), and experience taking a data product through pilots at multiple clients in parallel.

Two client deployments taken from environment readiness through hypercare, each validated against the standard suite and signed off on schedule.

A deployment playbook that demonstrably reduced the cost of the deployment that followed it, measured in elapsed time from access granted to validated installation.

Platform standards (idempotency, fail-fast, parameterisation) adopted across the data engineering codebase, evidenced in review practice, not just documentation.

At least one governance or infrastructure negotiation with client IT resolved without escalation to leadership.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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