Data Architect

Typeofcontract:employment contract

Salaryrange:17 500 - 26 500 PLN gross/m

Whatwillyoudo

As a Data Architect you will design and shape the enterprise data landscape for institutions in the financial sector including banking and financial services. You will work closely with business analytics and technology stakeholders to ensure that data is structured governed and accessible in a way that supports analytical BI and AI/ML use cases.
You will own the data architecture aspects of selected initiatives ensuring that data platforms and pipelines are scalable secure and aligned with regulatory operational and business requirements. This role requires a strong understanding of the role data plays in financial institutions and how it enables decision-making reporting and advanced analytics.
Your role will bridge Business Data analytics and technology architecture.

Your tasks

• Design and evolve the enterprise data landscape including data platforms data integration patterns and analytical data stores
• Act as a trusted advisor and reference point for data architecture within the organization and for clients working independently with senior stakeholders
• Define data models data flows and architectural standards that support BI analytical and AI/ML use cases
• Collaborate with analytics BI and ML teams to ensure data architecture effectively support reporting advanced analytics and machine learning
• Support pre-sales and client engagements by contributing to data architecture concepts solution designs and proposals
• Capture and share best practices in data architecture data modeling and platform design across teams
• Ensure that data solutions meet non-functional and regulatory requirements including security data quality governance lineage and auditability

Your skills

• Proven experience designing data architectures and building enterprise-scale data landscapes ideally within financial services
• Strong understanding of how data supports business processes reporting analytical decision-making and regulatory requirements in financial institutions
• Experience with modern data platforms and technologies including Snowflake and/or Databricks
• Practical knowledge of BI and analytics concepts tools and data modeling approaches
• Working knowledge of AI/ML concepts and data requirements for machine learning (feature engineering data pipelines training vs inference)
• Experience leveraging public cloud platforms such as AWS Azure or GCP
• Knowledge of modern data architectures and patterns including data lakes lakehouse architectures streaming and event-driven data processing
• Understanding of non-functional requirements such as security performance scalability resilience and data governance
• Familiarity with regulatory and data governance considerations in financial services (e.g. data privacy lineage auditability)
• Excellent communication skills with the ability to explain data architecture concepts to non-technical audiences and engage senior stakeholders
• Ability to translate business and analytical requirements into robust scalable and compliant data architectures

Nice to have

• Previous experience in banking financial services or fintech is highly desirable

We offer you

• Working in a highly experienced and dedicated team
• Competitive salary and extra benefit package that can be tailored to your personal needs (private medical coverage sport & recreation package lunch subsidy life insurance etc.)
• Contract of employment
• On-line training and certifications fit for career path
• Regular social events
• Access to e-learning platform