Data Solution Architect (ZR1268)
Employer · Dss Consulting
Systems analyst
Database administratorSoftware developerFlexibleFull-timeTörökbálint
Since 1998, DSS Consulting has specialized in business intelligence, analytics and custom software development. We are looking for a Data Solution Architect to join one of our telecommunications partners.
Tasks
- 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.
- Design cloud-native Data Lakehouse solutions using AWS services such as S3, Redshift, EMR and Athena.
- Define migration patterns, parallel operation approaches, data cutover strategies, reconciliation mechanisms and historical data archiving for transitions from legacy platforms to a Cloud Lakehouse.
- Ensure solution designs comply with the enterprise target architecture, Data & AI blueprints, the Enterprise Data Model and cloud infrastructure standards.
- Embed metadata management, end-to-end data lineage, data quality monitoring, stewardship, retention policies and security controls into solution designs.
- Present and justify data solution designs and architectural decisions to architecture review boards.
- Collaborate with the Data & AI Lead Architect to support integration with machine learning solutions, feature stores, knowledge graphs and RAG/LLM data pipelines.
- Guide data engineers and delivery teams throughout development, testing, data reconciliation and operational handover.
- 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.
- Define and validate requirements for availability, disaster recovery, performance, scalability, observability, security and privacy.
Conditions & benefits
Flexible working hoursFlexible working hours are everyday reality, not a buzzwordHome officeYou can work from home, but first, let's discuss about the way you like to work.Training fundBecause your professional development is important to usHealth insuranceA comprehensive health insurance package with a reputable private health care providerFitness center accessUnlimited access of a total of three of Budapest's best fitness centre's to help you maintain your fitnessCafeteriaMonthly fringe benefit (cafeteria)EquipmentIf necessary, a laptop, a phone, and a monitor for your home office
Requirements
- 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, and data reconciliation frameworks.
- Solid understanding of Data Governance tooling and practices.
- 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.