Senior Technical Delivery Manager - Data Platforms

Exerizon

5d • Remote

About The Position

Exerizon is a fast-growing strategy and technology consulting firm founded by former senior leaders from global consulting and cloud organizations. The firm helps clients address challenges across digital strategy, cloud transformation, data and AI platforms, and application modernization. Its consulting model shares risk with clients through impact-based remuneration and ownership with employees from day one.

The Senior Technical Delivery Manager leads client data platform programmes, including lakehouse and warehouse builds, migrations, and modernizations on Databricks and Snowflake, typically on Azure or AWS. This is a technical leadership position with ownership of scope, plan, budget, quality, and the client relationship. The manager is expected to understand platform architecture, pipelines, and costs well enough to challenge both the delivery team and client.

The role covers end-to-end delivery from mobilisation and discovery through build, migration, go-live, and hypercare. It also leads mixed delivery teams, supports Exerizon’s proposals and pre-sales, and contributes to the firm’s delivery methods, accelerators, and growth. The position is offered on a B2B contract basis, with a remote work model and access to a central Warsaw office.

Requirements

• At least 8 years of experience in data and analytics delivery.
• At least 3 years as a delivery, project, or engagement manager accountable for programme outcomes, including scope, budget, timeline, and quality.
• Delivery of at least two production data platform programmes end to end on Databricks and/or Snowflake, through greenfield build or migration.
• Hands-on technical knowledge of production data platform delivery and go-live challenges.
• Ability to read SQL and PySpark and understand Delta Lake and Iceberg table formats, Unity Catalog, Snowflake virtual warehouses, streams and tasks, and Snowpark; ability to review pipeline designs and challenge estimates.
• Experience with estimation, scope and change control, budget and estimate-at-completion tracking, risk and issue management, vendor and systems integrator coordination, and agile and hybrid delivery models.
• Solution-level cloud literacy in Azure or AWS, including networking, identity, storage, and cost.
• Experience delivering in regulated industries such as banking, insurance, or healthcare, with data governance, GDPR privacy, and audit requirements built into delivery.
• Executive-level communication skills, including structured written status updates, steering decks, and raising bad news early with options.
• Full professional fluency in Polish and English.

Nice To Haves

• Databricks Certified Data Engineer or Platform Architect certification, or Snowflake SnowPro Core or Advanced certification.
• PMP, PRINCE2, or SAFe certification.
• Exposure to dbt, Terraform, Microsoft Fabric, or Azure Synapse.
• Experience delivering ML/AI workloads on the platform, including MLflow, feature stores, or model serving.
• Practical experience with data mesh or domain-oriented data ownership.

Responsibilities

• Lead end-to-end delivery of data platform engagements, from mobilisation and discovery through build, migration, go-live, and hypercare, using Databricks and Snowflake, typically on Azure or AWS.
• 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, including platform design, ingestion, transformation, orchestration, data quality, and observability.
• Run engineering delivery cadence, including backlog management, 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.
• Manage platform economics, including DBU and Snowflake credit consumption, warehouse and cluster sizing, cluster policies, and FinOps reporting.
• Build governance into platform delivery, including access models, PII handling, lineage, and audit requirements.
• Lead mixed teams of 5–15 data engineers, architects, analysts, and QA staff from Exerizon, the client, and vendors; coach and develop team members.
• Contribute to Exerizon’s growth through proposals and estimates, delivery methods and accelerators, and pre-sales support.

Benefits

• Full ownership of engagements and direct access to client executives.
• Competitive compensation on a B2B contract.
• Annual training and certification budget, including Databricks and Snowflake certification tracks.
• Remote work model with access to a central Warsaw office.
• Opportunity to shape the firm’s data and AI offering, delivery methods, hiring, and culture.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed