Hybrid Data Modeler — Enterprise Data Architect

Sii Poland; Kraków; Hybrid; PLN 150,000 - 190,000; Full time

Benefits offered by this job

Great Place to Work

Profit sharing

Medical care

Centre of internal trainings

Regular integration events and trips

Job summary

Sii Poland in Kraków is seeking an experienced Data Modeler to design and implement robust data architectures that support business needs across multiple platforms. You will collaborate with business and application teams to align data flows with organizational goals and tackle complex data challenges.

Responsibilities include developing conceptual, logical, and physical data models, defining standards, and performing hands-on modeling, design, and performance tuning.

Qualifications

• 4+ years hands-on experience with relational, dimensional and NoSQL data platforms.
• Deep expertise in data modeling, data architecture and related tools such as Erwin or Visual Paradigm.
• Practical experience with data lakes and data warehouses in multi-data-center environments.
• Strong knowledge of RDBMS and ETL processes.
• Excellent communication skills in English, both oral and written.

Responsibilities

• Implement new data strategies and designs across data platforms and tools.
• Collaborate with business and application teams to build data flows and develop conceptual, logical and physical data models.
• Define and govern data modeling standards, tools and best practices for enterprise data models.
• Identify data sources, architectures and interfaces to support automated loads and analytics.
• Hands-on modeling, design, configuration, installation and performance tuning of data solutions.
• Work independently to address requirements and mitigate delivery risks.

Skills

Data modeling

Data architecture

English communication

Hands-on data platforms

Tools

Erwin

Visual Paradigm

MongoDB

Job description

Sii Poland in Kraków is seeking an experienced Data Modeler to design and implement robust data architectures that support business needs across multiple platforms. You will collaborate with business and application teams to align data flows with organizational goals and tackle complex data challenges.

Responsibilities include developing conceptual, logical, and physical data models, defining standards, and performing hands-on modeling, design, and performance tuning.