Senior Technical Delivery Manager – Data Platforms

Exerizon

. 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 .

Posted 10/17/2026contractRemote • PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in leading data platform engagements, including delivery management, technical fluency in Databricks and Snowflake, and strong governance practices. Proficient in managing cloud migrations and ensuring compliance with data governance and privacy regulations.

Highest-signal resume keywords

Data Platform Delivery ManagementTechnical Fluency in Databricks and SnowflakeCloud Migration ManagementRegulated Industry ExperienceExecutive-Level Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPySparkDelta LakeIceberg Table FormatsUnity CatalogSnowflake Virtual WarehousesData IngestionData TransformationCI/CD DisciplineAgile Delivery Models

Soft Skills

CoachingTeam LeadershipExecutive CommunicationRisk ManagementChange Control

Tools & Technologies

DatabricksSnowflakeAzureAWSFinOps ReportingSteering CommitteesBacklog ManagementRelease ManagementData QualityObservability

Industry Keywords

Data GovernanceGDPR ComplianceBankingInsuranceHealthcare

Tech Stack

Tools & technologies

AWSAzureCloudHadoopOraclePySparkSQLUnity

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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