Exerizon

Senior Technical Delivery Manager - Data Platforms

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SeniorZdalnie·WarszawaFull-time

#460666·Dodano 11 dni temu·1

Źródło: Exerizon

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Tech Stack / Keywords

Databricks Snowflake Azure AWSdbtTerraform SQL PySparkDelta LakeAirflow

Podsumowanie oferty

Lead data platform programmes for clients, covering lakehouse and warehouse builds, migrations and modernisation on Databricks and Snowflake. Own delivery scope, plan, budget, quality and client relationships while working with the technical architecture, pipelines and cost model.

Wymagania

8+ years in data and analytics delivery, including 3+ years as a delivery, project or engagement manager accountable for programme outcomes across scope, budget, timeline and quality.
At least two production data platform programmes delivered end to end on Databricks and/or Snowflake, through greenfield build or migration, with hands-on knowledge of go-live issues.
Technical fluency: read SQL and PySpark; understand Delta Lake and Iceberg table formats, Unity Catalog, Snowflake virtual warehouses, streams and tasks, and Snowpark; review pipeline designs and challenge estimates.
Delivery management toolkit covering estimation, scope and change control, budget and estimate-at-completion tracking, risk and issue management, vendor and SI coordination, and agile and hybrid delivery models.
Cloud literacy at the solution level on Azure or AWS, including networking, identity, storage and cost.
Experience delivering in regulated industries (banking, insurance, healthcare), with data governance, privacy (GDPR) and audit requirements built into delivery.
Executive-level communication, including structured written status, steering decks, and raising bad news early with options.
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.
Exposure to dbt, Terraform, Microsoft Fabric or Azure Synapse.
Delivery of ML/AI workloads on the platform, including MLflow, feature stores and model serving.
Practical experience with data mesh or domain-oriented data ownership.

Obowiązki

Lead end-to-end delivery of data platform engagements, from mobilisation and discovery through 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.
Shape and defend the technical approach with the lead architect, covering lakehouse versus warehouse-centric design, ingestion patterns (batch, CDC, streaming), transformation with dbt and Delta Live Tables, orchestration with Databricks Workflows, Azure Data Factory and Airflow, data quality and observability.
Run the engineering cadence, including backlog, sprint planning, release management, environment strategy, CI/CD discipline using Git, Databricks Asset Bundles, Terraform and Snowflake schema change management, and definition of done.
Manage migration workstreams from legacy platforms including Oracle, Teradata, SQL Server and on-premises Hadoop to cloud, covering data 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 to the client.
Build governance from the start, covering Unity Catalog / Snowflake Horizon, access models, PII handling, lineage and audit.
Lead mixed teams of 5–15 data engineers, architects, analysts and QA from Exerizon, the client and vendors; coach and grow them.
Contribute to Exerizon’s growth through proposals and estimates, delivery methods and accelerators, and pre-sales support.

Benefity

Annual training and certification budget, including Databricks and Snowflake certification tracks.

Dofinansowanie szkoleń

Exerizon

15 aktywnych ofert

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