Tech Lead DWH

Role: Tech Lead DWH

Collaboration: Long-term

Rate: Up to 240 PLN/h net + VAT (B2B)

Work Model: B2B

Location: Remote work from Poland

Language: Polish, English

We are seeking a Tech Lead who will oversee both the Data Platform and part of the Analytical Platform. The key objective of this role is to provide technological and architectural support in the efficient implementation and development of a modern Data Platform, which includes a Data Warehouse in the Lakehouse concept and an MLOps Platform. The candidate should have experience in implementing cloud systems and database modeling using DDD approaches.

Main Responsibilities:

• Analyze existing source and target systems (i.e., systems that receive data from the platform) in the organization for integration requirements with the Data Platform.
• Design and document the integration architecture (HLD and LLD) including:
• mechanisms for populating the platform with data from source systems (batch, streaming, API),
• mechanisms for sharing data from the platform to target systems (e.g., API, presentation layer of the read model, exports).
• Collaborate with owners of source and target systems to agree on interfaces, data exchange frequency, SLA, and security requirements.
• Provide advice on the selection of components and services deployed on the Platform.
• Select and recommend tools and integration patterns (focusing on ELT for batch with custom frequency and event-driven architecture).
• Establish standards for versioning and CI/CD processes.
• Ensure compliance with data security policies, regulatory compliance, and organizational standards.
• Support in creating data management principles and oversee compliance with Data Governance policies.
• Advise on the integration of ML solutions hosted on the Platform with business systems, including BPMN.
• Collaborate with Chapter Leads for both Data and Analytical Platforms.
• Other tasks directly related to standardizing approaches to implementing the Data Platform.

Key Requirements:

• Several years of experience in implementing Data Platforms in cloud technology (especially in cases of migration from on-premise to cloud).
• Experience in migrating platforms from on-premise to cloud (preferably Azure cloud, but experience with Azure in other projects is acceptable; migration in GCP or AWS is also valid).
• Experience with Azure Databricks.
• Experience in modeling database structures using DDD approaches.
• Ability to document architecture (HLD and LLD).
• Knowledge of data integration mechanisms (batch, streaming, API).
• Knowledge of data security standards and Data Governance.