Azure Data Platform Architect & Analytics Lead

Harvey Nash Technology; Warszawa; On-site; PLN 260,000 - 420,000; Full time

Job summary

Harvey Nash Technology in Warsaw is seeking an experienced Senior Data & Analytics Lead to own and drive scalable data models and analytics products. You will translate business needs into reusable data solutions, manage data requirements, and ensure quality assurance across the data pipeline.

The role requires strong Spark-based processing skills (Azure Data Factory, Azure Databricks, SQL, Python), data modeling expertise, and experience delivering data as a product.

Qualifications

• Bachelor's or master's degree in CS, engineering, or similar.
• 5+ years of experience in Data & Analytics.
• Experience with Spark-based processing (Azure Data Factory, Azure Databricks, SQL, Python).

Responsibilities

• Own and lead technical implementation of well-integrated, reusable data models and analytics products
• Collect and manage data requirements, translating them into technical concepts focused on re-usability and cost efficiency
• Ensure best-practice data management and quality assurance processes are defined and applied
• Collaborate with data architects, analytics leads and data scientists to ensure sustainable pipelines and analytical products
• Partner with business functions and IT teams to ensure delivery aligned with business priorities
• Lead integration of diverse data sources to develop globally harmonized data models and KPIs
• Steer delivery teams (internal and external), providing estimations and ensuring high-quality delivery

Skills

Data architecture

Mentor data engineers

Tableau/Power BI

Agile methods

Communication skills

Fluent English

Intercultural awareness

Problem solving

Data modeling

Leadership

Education

Bachelor's/Master's degree in Computer Science, Engineering or similar

Tools

Azure Data Factory

Azure Databricks

SQL

Python

GitHub

Job description

Harvey Nash Technology in Warsaw is seeking an experienced Senior Data & Analytics Lead to own and drive scalable data models and analytics products. You will translate business needs into reusable data solutions, manage data requirements, and ensure quality assurance across the data pipeline.

The role requires strong Spark-based processing skills (Azure Data Factory, Azure Databricks, SQL, Python), data modeling expertise, and experience delivering data as a product.