Management IT System-Architect-Advanced

KEY RESPONSIBILITIES
1. Data Architecture & Governance
Design and evolve the target data architecture (lakes, lakehouses, meshes) in alignment with the IT strategy
Lead and drive data governance: mastership, quality, lineage, and cataloging
Define data management policies: lifecycle, retention, security, and GDPR/regulatory compliance
Produce architecture deliverables compliant with the TOGAF framework (Architecture Vision, Data Architecture, Solution Building Blocks)
Maintain alignment with enterprise architecture and business object reference models
2. Platform, Engineering & Integration
Design and oversee data pipelines (ingestion, transformation, orchestration, exposure)
Architect solutions using Databricks (Delta Lake, Unity Catalog, MLflow, DLT) and AWS (S3, Glue, Redshift, EMR, Lake Formation, Step Functions, EventBridge)
Define integration strategies with business source systems: SAP (RFC / ABAP / ODP / BTP), Salesforce (Commerce Cloud, Data Cloud, SOQL/Bulk APIs), Kaluza, Oracle, and industry-specific ERPs
Support the API Management strategy: API Gateway design (AWS API Gateway, Kong, Apigee), security policies (OAuth2, JWT, mTLS), versioning, throttling, developer portals, and API observability
Support real-time replication and synchronization operations: Oracle GoldenGate (CDC, transaction log capture, multi-target replication), Kafka Connect, Debezium
Support technology selection: formats (Parquet, Delta, Iceberg), orchestration (Airflow, dbt, Spark), and storage (object, columnar, vector)
Ensure the scalability, reliability, and observability of data infrastructure (DataOps, SLAs, alerting)
3. Platform migration & target applications
Support data platform migrations: legacy to Lakehouse/Data Mesh, on-premise to cloud, single-cloud to multi-cloud
Define application migration strategies (Rehost/Replatform/Refactor/Replace) and their impact on data flows
Develop migration architecture documentation: analysis of current state, dependency mapping, target roadmap, cutover plan, and go/no-go criteria
Oversee data migration operations: extraction, transformation, and loading (ETL/ELT) from SAP (via Theobald Xtract, ODP), Oracle databases (via GoldenGate), Salesforce CRM (Bulk API v2), and Kaluza systems
Manage coexistence and parallel-run periods: bidirectional synchronization, transitional mastership rules, and validation of migrated data integrity
Document lessons learned and build a library of reusable migration patterns
4. AI & GenAI
Define architecture for AI/ML and GenAI solutions (feature stores, model registries, serving layers, RAG, agents)
Integrate LLMs into business processes securely, traceably, and explainably (EU AI Act Article 14)
Scope AI use cases with business teams: feasibility, architecture, required data, and risk assessment
Contribute to building a semantic and decision-support layer atop information systems
Actively monitor developments in LLMs, multimodal AI, AI agents, and orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel)
5. Data cybersecurity & compliance
Define and enforce data security principles: encryption (at-rest/in-transit), secrets management (AWS Secrets Manager, Vault), fine-grained access control (RBAC/ABAC), IAM
Integrate security requirements into data pipelines from the design stage (Security by Design, Zero Trust Data Architecture)
Define data classification policies: sensitive data, PII, financial data, trade secrets
Collaborate with CISO/SOC teams on audits, risk assessments (EBIOS RM, ISO 27005), and remediation plans
Ensure compliance with GDPR, NIS2, DORA (financial/energy sectors), and the AI Act-translating these into concrete architectural constraints
Drive strategies for masking, anonymizing, and tokenizing sensitive data in non-production environments
Systematize security reviews for exposed APIs (OWASP API Top 10, rate limiting, audit logs, anomaly detection)
6. Leadership & cross-functional influence
Guide Data Engineering, Analytics, and product teams in applying architectural standards
Participate in architecture committees and governance bodies (Architecture Review Board)
Draft scoping documents, ADRs (Architecture Decision Records), and technical standards/guidelines
Act as an advisor and communicate complex concepts clearly to business units and executive management
Mentor junior Data Engineers and Data Analysts in mastering architectural patterns
Skills




Comfortable handling complex problems in a changing environment Expert (+10 years)
Agile Expert (+10 years)
Communication skills (written and verbal), assertiveness Expert (+10 years)
IT component architecture Advanced (5 years < x