Senior Technical Delivery Manager - Data Platforms

Exerizon; Województwo mazowieckie; Remote; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Remote work model with Warsaw office

Annual training and certification

Databricks and Snowflake certification

Competitive B2B compensation

Job summary

Exerizon is seeking a Senior Technical Delivery Manager to lead data platform programmes for clients — lakehouse and warehouse builds on Databricks and Snowflake. You own scope, plan, budget, and client relationships, and you understand the architecture, pipelines and cost model well enough to challenge both team and client.

You will lead 5–15 data engineers, architects, analysts and QA drawn from Exerizon, the client and vendors; the role offers remote work with access to a central Warsaw

Qualifications

• Must have 8+ years in data/analytics delivery with leadership accountability.
• Two production data platform programmes on Databricks and/or Snowflake desired.
• Fluent in English and Polish; strong executive communication.

Responsibilities

• Lead end-to-end delivery of data platform engagements (mobilisation, discovery, build, migration, go-live, hypercare).
• Own delivery plan, scope, budget, staffing, and risk register; run steering committees.
• Shape technical approach with lead architect: lakehouse vs warehouse design; define ingestion, transformation, orchestration.
• Manage CI/CD, data quality, observability, and governance from start to finish.
• Oversee migration from legacy platforms to cloud; plan cut-over and parallel run.
• Control platform economics: DBU, Snowflake credits, sizing, and FinOps reporting.
• Lead teams of 5–15 engineers from multiple sources; coach and grow them.
• Contribute to proposals, estimates, accelerators, and pre-sales support.

Skills

Data delivery

Delivery management

Executive communication

Polish language

English language

Azure/AWS knowledge

SQL/PySpark

Cloud cost management

Tools

Databricks

Snowflake

Terraform

Airflow

Git

Job description

Exerizon is a fast-growing strategy and technology consulting firm founded by former senior leaders from global consulting and cloud organizations. We help current and future market leaders tackle their greatest challenges — from digital strategy and cloud transformation to data & AI platforms and application modernization. We redefined the traditional consulting model: we share risk with our clients through impact-based remuneration, and we share ownership with our people from day one.

We are looking for a Senior Technical Delivery Manager to lead data platform programmes for our clients — lakehouse and warehouse builds, migrations and modernisation on Databricks and Snowflake. This is a technical leadership role, not a pure PMO seat: you own scope, plan, budget, quality and the client relationship, and you understand the architecture, the pipelines and the cost model well enough to challenge both the team and the client.

What you will do:

• 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: lakehouse (medallion) vs. warehouse-centric design, ingestion patterns (batch, CDC, streaming), transformation (dbt, Delta Live Tables), orchestration (Databricks Workflows, Azure Data Factory, Airflow), data quality and observability
• Run the engineering cadence: backlog, sprint planning, release management, environment strategy and CI/CD discipline (Git, Databricks Asset Bundles, Terraform, Snowflake schema change management), definition of done
• Manage migration workstreams from legacy platforms (Oracle, Teradata, SQL Server, on-prem Hadoop) to cloud: data reconciliation, cut‑over planning, parallel run, decommissioning
• Keep platform economics under control: DBU and Snowflake credit consumption, warehouse and cluster sizing, cluster policies, FinOps reporting to the client
• Build governance in from the start: Unity Catalog / Snowflake Horizon, access models, PII handling, lineage and audit — to the standard regulated clients (banking, insurance, healthcare) expect
• Lead mixed teams of 5–15 data engineers, architects, analysts and QA drawn from Exerizon, the client and vendors; coach and grow them
• Contribute to Exerizon's growth: proposals and estimates, delivery methods and accelerators, 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
• Nice to have:
  • Databricks (Certified Data Engineer / Platform Architect) or Snowflake (SnowPro Core / Advanced) certifications
  • PMP, PRINCE2 or SAFe certification
  • dbt, Terraform, Microsoft Fabric or Azure Synapse exposure
  • Delivery of ML/AI workloads on the platform (MLflow, feature stores, model serving)
  • Data mesh or domain‑oriented data ownership in practice

• 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