Senior Technical Delivery Manager – Data Platforms

• Lead end-to-end delivery of data platform engagements — mobilisation, discovery, build, migration, go-live and hypercare — on Databricks and Snowflake, typically on Azure or AWS
• Own the delivery plan, scope, budget, staffing and risk register; run steering committees and report to client executives with no surprises
• Shape and defend the technical approach with the lead architect, covering lakehouse versus warehouse-centric design, ingestion, transformation, orchestration, data quality and observability
• Run the engineering cadence: backlog, sprint planning, release management, environment strategy, CI/CD discipline and definition of done
• Manage migrations from Oracle, Teradata, SQL Server and on-prem Hadoop to cloud, including reconciliation, cut-over planning, parallel run and decommissioning
• Control platform economics including DBU and Snowflake credit consumption, warehouse and cluster sizing, cluster policies and FinOps reporting
• Build governance including Unity Catalog / Snowflake Horizon, access models, PII handling, lineage and audit
• Lead mixed teams of 5–15 data engineers, architects, analysts and QA; coach and grow them
• Contribute to proposals, estimates, delivery methods, accelerators and pre-sales support

• 8+ years in data and analytics delivery, including 3+ years as a delivery, project or engagement manager accountable for programme outcomes (scope, budget, timeline, quality)
• At least two production data platform programmes delivered end to end on Databricks and/or Snowflake — greenfield build or migration — with hands-on knowledge of what breaks at go-live
• Technical fluency, not just vocabulary: you read SQL and PySpark, understand Delta Lake and Iceberg table formats, Unity Catalog, Snowflake virtual warehouses, streams and tasks, and Snowpark; you can review a pipeline design and challenge an estimate
• Solid delivery management toolkit: estimation, scope and change control, budget and estimate-at-completion tracking, risk and issue management, vendor and SI coordination, agile and hybrid delivery models
• Cloud literacy on Azure or AWS at the solution level: networking, identity, storage, cost
• Experience delivering in regulated industries (banking, insurance, healthcare) with data governance, privacy (GDPR) and audit requirements built into the delivery
• Executive-level communication: structured written status, clean steering decks, and the habit of raising bad news early with options attached
• Full professional fluency in Polish and English

• Full ownership of your engagements and direct access to client executives — no ten-layer review pyramid
• Competitive compensation on B2B contract
• Annual training and certification budget, including Databricks and Snowflake certification tracks
• Remote work model with access to a central Warsaw office
• A seat at the table in shaping a young firm: our data & AI offering, delivery methods, hiring and culture