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Open nowPosted 2 days ago

Data Solution Architect (ZR1268)

Dss Consulting19 open roles

Where
Törökbálint, Pest, Hungary
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Your applicationOpen nowData Solution Architect (ZR1268)Dss Consulting · Törökbálint, Pest, Hungary

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. Dss Consulting postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 2 days ago

Dss Consulting median: 1 days open

The posting

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: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Software Engineering, Information Systems, or related field. 4+ years of proven experience as a Data Solution Architect, Data Architect, or Senior Data Engineer designing large-scale enterprise data and analytics platforms. In-depth expertise in modern Data Lakehouse and Cloud Data Warehouse architectures, preferably on AWS (S3, Redshift, Glue, Athena, EMR, Lake Formation, Kinesis/MSK). Strong background in data modeling techniques (Dimensional/Kimball, Data Vault 2.0, 3NF, Semantic Layer modeling, Data Product contracts). Hands-on experience with legacy enterprise DWH modernization, ETL/ELT pipelines, streaming data architectures (Kafka / EventBridge), and data reconciliation frameworks. Solid understanding of Data Governance tooling and practices (Data Catalogs, Lineage, Data Quality frameworks, GDPR compliance, Role/Attribute-Based Access Control). Ability to work effectively in cross-functional agile squads and international vendor environments. Excellent communication, presentation, stakeholder management, and technical documentation skills in English and Hungarian. It is an advantage if you have: Familiarity with Knowledge Graphs, Vector search, RAG architectures, and AI/ML data integration Experience in telecommunications data domains (CDR processing, Billing/Charging data, CVM, BSS/OSS data structures, TM Forum SID) 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] or click on the "Apply now" button!

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