ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΎΠ΄ΠΊΠ»ΡΡΠΈΡΡ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
Hirify AI/ΠΡΠΈΠ³ΠΈΠ½Π°Π»
TL;DR
Data Architect (Enterprise Data Platforms): Designing end-to-end data solution architectures covering ingestion, transformation, reconciliation, persistence, and integration with reporting and operational systems with an accent on data modeling, integration patterns, and processing controls. Focus on designing traceable and auditable enterprise data flows, defining idempotent and recoverable processing strategies, and aligning on-premises deployments with security and operational requirements.
Quento Technologies S.A., the ICT arm of hirify.global, delivers AI, digital engineering, cloud, and cybersecurity solutions for business digital transformation.
What you will do
Define and maintain end-to-end data solution architecture covering ingestion, transformation, reconciliation, persistence, and system integration.
Design data domains, integration patterns, transformation layers, and reconciliation processing flows.
Define source-to-target mapping standards, processing patterns, and result persistence structures.
Support technology configuration, implementation guidance, and technical design reviews.
Collaborate with Data Engineering, DevOps, QA, and Telekom stakeholders on requirements and architectural decisions.
Ensure activities comply with regulatory requirements and support the Group Anti-Bribery and Corruption Policy.
Requirements
University degree in Computer Science, Engineering, or a related field.
8+ years of professional experience in Data Architecture, Data Engineering, or Data Integration, including at least 4β5 years as a Data Architect or Solution Architect on comparable enterprise data platform or data integration projects.
Experience designing enterprise data architectures and ETL/ELT solutions.
Strong conceptual, logical, and physical data modeling skills, including relational schemas, canonical data models, reference data structures, and reconciliation results models.
Experience designing batch integration, file-based ingestion, transformation, and reconciliation workflows.
Knowledge of data quality, matching, traceability, auditability, and reconciliation control design.
Experience with incremental processing, idempotency, error handling, and reprocessing strategies.
Knowledge of integration architecture, orchestration patterns, and version-controlled development.
Experience with on-premises deployment architecture and security and operational requirements.
Experience in telecommunications, billing, Revenue Assurance, financial reconciliation, or other data-intensive enterprise environments.
Relevant technologies include PostgreSQL, Oracle, SQL Server, Python, dbt Core, Apache Airflow, Meltano/Singer, Informatica, Talend, SSIS, Apache NiFi, or equivalent ETL/ELT and database technologies.
Culture & Benefits
Hybrid working model with home equipment benefits.
Competitive compensation, restaurant card, and annual bonus programs.
IT equipment, mobile and data plan, modern facilities, indoor parking, and company bus.
Private health insurance, onsite occupational doctor, workplace counselor, gym, wellness facilities, and ping pong room.
Career development tools, mentoring, coaching, and a personalized annual learning and development plan.
Employee referral bonuses and regular wellbeing, ESG, and volunteering activities.