Data Architect Consultant Data Architect Consultant

1 dzień temu

Poznań, Greater Poland GFT Technologies SE Pełny etat 155 zł - 205 zł

Type of contract: B2B contract 

Salary range: PLN net/h

What will you do? 

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 storesAct as a trusted advisor and reference point for data architecture within the organization and for clients, working independently with senior stakeholdersDefine data models, data flows, and architectural standards that support BI, analytical, and AI/ML use casesCollaborate with analytics, BI, and ML teams to ensure data architecture effectively support reporting, advanced analytics, and machine learningSupport pre-sales and client engagements by contributing to data architecture concepts, solution designs, and proposalsCapture and share best practices in data architecture, data modeling, and platform design across teamsEnsure 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 servicesStrong understanding of how data supports business processes, reporting, analytical decision-making, and regulatory requirements in financial institutionsExperience with modern data platforms and technologies, including Snowflake and/or DatabricksPractical knowledge of BI and analytics concepts, tools, and data modeling approachesWorking 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 GCPKnowledge of modern data architectures and patterns, including data lakes, lakehouse architectures, streaming, and event-driven data processingUnderstanding of non-functional requirements such as security, performance, scalability, resilience, and data governanceFamiliarity 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 stakeholdersAbility 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


This possibility applies to work on a B2B basis.  

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