Data Solution Architect (ZR1268)

Since 1998, DSS Consulting has specialized in business intelligence, analytics and custom software development. As pioneers in data mining and data quality assurance in Hungary, we help our clients choose and implement solutions that address their business challenges.

We are looking for a Data Solution Architect to join one of our telecommunications partners.

Main tasks and responsibilities:

- End-to-End Data Solution Design: Design enterprise data pipelines and architectures covering source system extraction, streaming and batch ingestion, transformation, bronze/silver/gold storage layers, semantic modelling and business consumption across BI, customer value management and AI/ML.
- Lakehouse & Semantic Architecture: Design cloud-native Data Lakehouse solutions using AWS services such as S3, Redshift, EMR and Athena. Develop enterprise semantic layers and reusable data products.
- Legacy DWH Modernization & Migration: Define migration patterns, parallel operation approaches, data cutover strategies, reconciliation mechanisms and historical data archiving for transitions from legacy platforms, such as Teradata, Oracle and MSSQL, to a Cloud Lakehouse.
- Architecture Alignment: Ensure solution designs comply with the enterprise target architecture, Data & AI blueprints, the Enterprise Data Model and cloud infrastructure standards.
- Data Governance, Lineage & Security: Embed metadata management, end-to-end data lineage, data quality monitoring, stewardship, retention policies and security controls into solution designs, including role- and attribute-based access control, data masking, classification and GDPR requirements.
- Architecture Review & Approval: Present and justify data solution designs and architectural decisions to architecture review boards. Address approval conditions, architectural risks and technical debt.
- AI & Advanced Analytics Enablement: Collaborate with the Data & AI Lead Architect to support integration with machine learning solutions, feature stores, knowledge graphs and retrieval-augmented generation (RAG) and large language model (LLM) data pipelines.
- Delivery & Operational Readiness: Guide data engineers and delivery teams throughout development, testing, data reconciliation and operational handover. Ensure implementation follows the approved high-level design and supports DataOps, alerting and service-level requirements.
- Cross-Domain Collaboration: Work with lead architects, the Chief IT Architect, Information Security, Infrastructure and Cloud teams, and external technology partners to resolve architectural trade-offs, dependencies and risks. Collaborate with the IT Architecture Office on architecture governance.
- Non-Functional Requirements: Define and validate requirements for availability, disaster recovery, performance, scalability, observability, security and privacy. Address ingestion throughput, processing windows, data freshness, query performance, retention and storage cost optimization.
What we expect from you:

- A Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or a related field.
- At least 4 years of relevant experience as a Data Solution Architect, Data Architect or Senior Data Engineer, designing enterprise-scale data and analytics solutions.
- Demonstrated experience taking ownership of enterprise data solution designs and architectural decisions.
- Strong knowledge of Data Lakehouse and Cloud Data Warehouse architectures , preferably on AWS .
- Experience with relevant AWS services, such as S3, Redshift, Glue, Athena, EMR, Lake Formation, Kinesis or MSK .
- Solid data modelling skills, including dimensional modelling, Data Vault 2.0, relational modelling and semantic layers.
- Practical experience with legacy data warehouse modernization, ETL/ELT pipelines, streaming architectures and data reconciliation.
- Understanding of data governance practices and tools, including data catalogues, lineage, data quality and role- or attribute-based access control.
- Knowledge of security and privacy requirements, including GDPR.
- Experience working with cross-functional agile teams and international delivery partners.
- Strong communication, presentation and technical documentation skills in English and Hungarian , with the ability to explain complex solutions to technical and business audiences.
- Effective stakeholder management skills and the ability to collaborate across business, engineering and architecture teams, as well as with external partners.

It is an advantage if you have:

- Experience with complex customer, transactional, billing or operational data domains.
- Familiarity with knowledge graphs, vector search, RAG architectures and AI/ML data integration.
- Experience defining data product interfaces and contracts.

What we offer:

· You can
count on us in the long run because we have been in business for about 25 years

· At DSS,
flexible working hours are everyday reality, not a buzzword

· After
COVID, we still believe in home office: you can work from
home, but first, let's discuss about the way you like to work.

· We provide
a competitive salary and a complex benefits package:

o training fund
– because your professional development is important to us;

o a
comprehensive health insurance package with a reputable private health care
provider, as we take care of your health;

o unlimited
access of a total of three of Budapest's best fitness centre’s to help you
maintain your fitness;

o monthly fringe
benefit (cafeteria)

o and, of
course, if necessary, a laptop, a phone, and a monitor for your home office
· If you
occasionally visit the workplace, a newly refurbished, modern working space
(complete with a game room, roof terrace) awaits you · You’ll be
part of a young, dynamic, close-knit team · Our
friendly management is always open to your suggestions

You can send your CV to [email protected] (mailto:[email protected]) or click on the "Apply now" button!