Senior Data Architect

Harvey Nash Poland; Warszawa; On-site; PLN 250,000 - 350,000; Full time

Job summary

Harvey Nash Poland seeks a senior Data & Analytics Lead to own and drive the design and delivery of integrated data models and analytics products across the business. You will guide cross-functional teams to build scalable pipelines and reusable data assets in a fast-paced environment.

In this role, you will mentor data engineers, collaborate with data scientists and architects, and apply Agile practices to deliver data as a product using Spark-based processing on Azure and BI tools like Tableau

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering or similar.
• 5+ years of Data & Analytics experience.
• Strong data architecture and Spark-based processing (Azure Data Factory, Azure Databricks, SQL, Python).
• Proficiency in data modeling and mentoring data engineers.
• Knowledge of Tableau or Power BI and data management practices.
• Experience with GitHub and delivering data as a product.
• Experience leading data engineering teams and applying Agile methodologies.

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

Leadership

Data modeling

Analytics

Agile

Communication

Problem solving

Mentoring

SQL

Python

Tableau

Power BI

Education

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

Tools

Spark-based processing

Azure Data Factory

Azure Databricks

SQL

Python

GitHub

Tableau

Power BI

Job description

• Own and lead technical implementation of well-integrated, re-usable 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

You bring:

• Bachelor's/Master's degree in Computer Science, Engineering or similar
• 5+ years of experience in Data & Analytics
• Strong data architecture and engineering skills in Spark-based processing (Azure Data Factory, Azure Databricks, SQL, Python)
• Proficiency in data modeling, with the ability to mentor data engineers in best practices
• Strong knowledge of Tableau or Power BI, and data management practices
• Experience with GitHub
• Experience delivering data as a product and leading data engineering teams
• Knowledge of commercial domain data
• Experience applying Agile methodologies
• Strong problem-solving, analytical and communication skills