Fully remote opportunity!
As a Data Platform Architect, you will be working for our client – a leading organization modernizing its data ecosystem. You will play a crucial role in the design and development of a cutting-edge cloud-based Data Platform, which includes both a Lakehouse-style Data Warehouse with BI reporting capabilities and an MLOps Platform supporting scalable analytical solutions. Your main mission will be to ensure proper architectural integration of the Data Platform into the broader IT ecosystem, working closely with Enterprise Architecture and cross-functional teams.
Your main responsibilities: Analyze existing source and target systems to assess integration requirements with the Data Platform
Design and document the integration architecture (HLD/LLD) for: Data ingestion mechanisms (batch, streaming, API), Data delivery to target systems (API, read-model layer, exports)
Collaborate with owners of source and target systems to define interfaces, data exchange frequency, SLAs, and security requirements
Advise on the selection and configuration of Data Platform components and services
Recommend integration tools and design patterns with focus on ELT and event-driven architecture
Define standards for versioning, CI/CD, and data workflows
Ensure compliance with data security, regulatory, and organizational standards
Contribute to Data Governance policies and supervise their application
Provide guidance on integrating ML solutions into business systems, including BPMN workflows
Help design platform structure supporting collaborative work of BI and Data Science teams
Work closely with Chapter Leads for Data and Analytical Platform
Engage in other activities related to standardizing Data Platform implementation practices
You're ideal for this role if you have:
Several years of hands-on experience in implementing cloud-based Data Platforms (especially in on-prem to cloud migration scenarios)
Strong background in Data Modeling, particularly in Domain-Driven Design (DDD)
Experience designing integration architectures and documenting HLD/LLD
Solid understanding of ELT pipelines, event-driven architecture, APIs, and data sharing models
Familiarity with security, compliance, and Data Governance standards
Previous collaboration with Data Science teams, including MLOps practices (automated pipelines, versioning, testing, CI/CD)
Excellent communication skills and experience working with business and technical stakeholders
Nice to have:
Experience with Azure-based Data Platforms (e.g., Azure Data Factory, Azure Databricks)
Exposure to BPMN systems
Knowledge of tools like Azure Purview, metadata management systems, and lineage tracking tools
Background in analytical platform architecture for BI/ML collaboration
Familiarity with data contracts, master data design, and data quality frameworks
We offer you:
ITDS Business Consultants is involved in many various, innovative and professional IT projects for international companies in the financial industry in Europe. We offer an environment for professional, ambitious, and driven people. The offer includes:
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours & remote work
Internal job number #7302 You can report violations in accordance with ITDS’s Whistleblower Procedure available here.
Net per month - B2B
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