Senior Solution Architect - Cloud Data Platforms @ Antal

Antal; Polska; On-site; PLN 295,000 - 381,000; Full time

Job summary

A leading technology firm in Poland is seeking an experienced Senior Solution Architect to design scalable and reliable data solutions for global markets. The ideal candidate will have over 8 years of experience in Data Engineering and expertise in Big Data technologies. This role offers the opportunity to shape decision-making processes at a major financial institution.

Qualifications

• 8+ years of experience in Data Engineering / Solution Architecture.
• Strong experience with data modeling, data warehousing, ETL, and non-functional design.
• Hands-on experience with Big Data technologies: Spark, Scala/Python, HDFS, Hive.

Responsibilities

• Design scalable and reliable data solutions used across global markets.
• Influence how data powers decision-making at a large institution.

Skills

Data Engineering / Solution Architecture

Data Modeling

Data Warehousing

ETL

Big Data Technologies

Public Cloud Expertise

AI/GenAI Tools

Microservices Architecture

Fluent English

Tools

Erwin/IDA

Tableau/Qlik

UML/Archimate/EA

Job description

We are looking for an experienced Senior Solution Architect to join an international financial technology team and take ownership of designing scalable and reliable data solutions used across global markets.

Be part of a globally impactful program shaping how data powers decision‑making at one of the world's largest institutions.

Senior Solution Architect – Cloud Data Platforms @ Antal

Polska

What we expect from you:

• 8+ years of experience in Data Engineering / Solution Architecture.
• Strong experience with data modeling (logical, physical), data warehousing (Kimball/Inmon), ETL, and non‑functional design.
• Hands‑on experience with Big Data technologies: Spark, Scala/Python, HDFS, Hive.
• Public cloud expertise (Google Cloud preferred), especially around data processing & architecture.
• Familiarity with AI/GenAI tools, MLOps, and OpenAI/Vertex AI services.
• Knowledge of microservices architecture, APIs, Pub/Sub, Kubernetes‑hosted platforms.
• Tools: Erwin/IDA for modeling, Tableau/Qlik for BI, UML/Archimate/EA for design.

Nice to have:

• Experience with architecture frameworks (TOGAF, IFW), metadata management, unstructured data systems (NoSQL, graph DB).
• Financial services/banking experience and stakeholder management in global setups.
• Fluent English (Mandarin is a plus).