Senior Technical Delivery Manager - Data Platforms
New
E
ExerizonData platforms
Workable workplace: remote; Remote work model with access to a central Warsaw officeContractManager
Salary not disclosed
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Job Details
- Languages
- Full professional fluency in Polish and English
- Experience
- 8+ years in data and analytics delivery, including 3+ years as a delivery, project or engagement manager accountable for programme outcomes
- Required Skills
- AWSSQLSnowflakeAzureDatabricksPySpark
Requirements
- Bring 8+ years of experience in data and analytics delivery.
- Have 3+ years as a delivery, project or engagement manager accountable for programme outcomes, including scope, budget, timeline and quality.
- Have delivered at least two production data platform programmes end to end on Databricks and/or Snowflake, through greenfield build or migration.
- Understand go-live risks and be able to read SQL and PySpark and review pipeline designs and estimates.
- Have knowledge of Delta Lake and Iceberg, Unity Catalog, Snowflake virtual warehouses, streams and tasks, and Snowpark.
- Bring delivery management experience in estimation, scope and change control, budget and estimate-at-completion tracking, risk and issue management, and vendor and systems integrator coordination.
- Have experience with agile and hybrid delivery models.
- Have solution-level cloud literacy on Azure or AWS, including networking, identity, storage and cost.
- Have delivered in regulated industries such as banking, insurance or healthcare, incorporating data governance, privacy (GDPR) and audit requirements.
- Communicate at executive level through structured written status updates and steering decks, and raise risks early with options.
- Have full professional fluency in Polish and English.
- Databricks or Snowflake certifications, PMP, PRINCE2 or SAFe certification, and exposure to dbt, Terraform, Microsoft Fabric, Azure Synapse, ML/AI workloads or data mesh are nice to have.
Responsibilities
- Lead end-to-end data platform engagements from mobilisation and discovery through build, migration, go-live and hypercare on Databricks and Snowflake.
- Own delivery plans, scope, budgets, staffing and risk registers; run steering committees and report to client executives.
- Shape and defend technical approaches with the lead architect, covering platform design, ingestion, transformation, orchestration, data quality and observability.
- Run engineering cadence, including backlog and sprint planning, release management, environment strategy, CI/CD discipline and definition of done.
- Manage migrations from legacy platforms, including data reconciliation, cut-over planning, parallel runs and decommissioning.
- Control platform economics through DBU and Snowflake credit consumption, warehouse and cluster sizing, cluster policies and FinOps reporting.
- Build governance into delivery, including access models, PII handling, lineage and audit requirements.
- Lead mixed teams of 5–15 data engineers, architects, analysts and QA from the company, client and vendors; coach and grow team members.
- Contribute to proposals, estimates, delivery methods, accelerators and pre-sales support.
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