Data & AI Architect

Bosnia and Herzegovina, North Macedonia, Croatia, Romania, Hungary, Spain, Czech Republic, Serbia (Hybrid)Hybridmid

OtherAi Architect

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Quick Summary

Overview

Key Responsibilities

Design and propose changes to current data systems, including migration paths and modernization strategies for legacy architectures Define and evolve the target architecture for data platforms, covering ingestion, storage, processing, and…

Requirements Summary

Strong experience in designing robust data systems from scratch, including greenfield architecture definition, technology selection, and end-to-end implementation planning Experience in modernization of data legacy systems Hands-on experience with…

Technical Tools

airflowawsazuredbtgcpgrafanakafkapower-bisnowflaketableauetlperformance-optimizationstreaming-data

We are looking for a candidate who confidently knows and understands different technologies, is able to deliver data architecture designs and recommendations, supported by both high‑level and detailed documentation, as well as choose appropriate technologies and tooling, design data models and pipelines, and define clear implementation roadmaps with scaling considerations. We are looking for someone passionate about the opportunity to independently design and deliver data architecture solutions that directly address client requirements and business goals. If you are comfortable defining, executing, and validating proof‑of‑concepts (PoCs) across multiple industries and projects, keep reading below:

Responsibilities

~1 min read

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Design and propose changes to current data systems, including migration paths and modernization strategies for legacy architectures 
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Define and evolve the target architecture for data platforms, covering ingestion, storage, processing, and consumption layers 
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Design and implement both batch and streaming/event-driven architectures to support diverse data processing requirements 
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Evaluate and recommend technology stacks across Azure, AWS, GCP and on-premises environments for hybrid and multi-cloud deployments 
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Design scalable, high-throughput data pipelines capable of handling large data volumes with low latency 
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Architect and deliver reporting systems using Power BI, Apache Superset, Grafana, or Tableau 
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Translate business and product requirements into technical architecture, data models, and implementation blueprints 
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Lead PoC design, implementation, and validation including architecture documentation 
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Assess AI/ML readiness including data availability, quality, governance, and infrastructure constraints 
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Ensure alignment with security, compliance, and regulatory standards including GDPR, SOC 2, ISO 27001, HIPAA, and PCI-DSS across all deployment environments 
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Collaborate closely with Product Managers, Engineers, and Domain Experts 
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Provide technical guidance during the transition from architecture to implementation

Requirements

~1 min read

Strong experience in designing robust data systems from scratch, including greenfield architecture definition, technology selection, and end-to-end implementation planning
Experience in modernization of data legacy systems 
Hands-on experience with high-throughput data systems and performance optimization at scale 
Multi-cloud experience across Azure, AWS, GCP, and including hybrid and on-premises deployments 
Experience with AI/ML production systems

Experience implementing Lakehouse architecture with Apache Iceberg 
Experience with modern data platforms such as Databricks and Snowflake 
Solid understanding of batch architectures (ETL/ELT, data warehouses) and streaming architectures (Kafka, Flink or equivalent) 
Experience designing reporting systems with BI tools (Power BI, Superset, Grafana) 
Strong knowledge of relational databases, columnar stores, object storage, data catalogs, and orchestration tools (Airflow, dbt) 
Familiarity with compliance frameworks and regulatory requirements: GDPR, SOC 2 Type II, ISO 27001, HIPAA, PCI-DSS, and data residency requirements 
Experience implementing data governance controls, audit logging, access management, and encryption standards aligned to compliance mandates 
Ability to bridge business and technical stakeholders and communicate architecture decisions clearly