Technical Architect - Corporate Domains - (2600022K)

Technical Architect - Corporate Domains   -   (2600022K)  

Missions

 

Target Architecture & Modernization

• Define target architectures that are stable, scalable, and consistent across systems.
• Identify redundancies and complexities to propose simplification, rationalization, and modernization roadmaps.
• Reduce run costs of the information system and promote architectural frugality in overall design.
• Promote reuse of Group platforms, existing corporate assets, shared services, and standardized data capabilities when relevant, respecting standards and reducing technical debt .
• Assess transformation capacity and outline realistic, achievable transition paths. Support transition phases.

Strategy Alignment & Data Governance

• Ensure system alignment with corporate business objectives, data strategy, and Group IT roadmaps.
• Maintain cross-functional & technical consistency across data projects within the enterprise process landscape.
• Support data platforms by designing data flows, ingestion pathways, processing, storage, and exposure ecosystems.
• Provide technical architectural guidance for data-centric initiatives from initial design to final implementation in relation with data & functional architecture .
• Secure framework compliance involving data governance, data privacy, regulatory constraints, and standard management best practices.
• Integrate technical data architectures with the broader information system, including interoperability with applications, analytics, and reporting platforms.

Operational Impact & Documentation

• Produce gap analyses to assess technical and eventually functional impacts of architectural frameworks across IT domains.
• Identify technical risks and provide actionable decision-support inputs to enterprise stakeholders.
• Prepare architectural documentation and models to actively support architecture review processes and documentation
• Verify solution compliance with Group-wide guidelines by promoting platform-based design approaches, supporting standards IT products and integration.
• Manage technical inventories as the custodian of data asset records, documentation, and procurement validation processes.
• Generate technical inputs to support the formal drafting of Target System Proposals (TSPs) . and usage reference of technologies.

Collaboration & Trend Monitoring

• Act as a key interface between Data teams stakeholders, IT departments, engineering units, and data governance bodies.
• Communicate and simplify complex bank architecture and data transformation strategies within governance committees.
• Monitor technology developments in data engineering, technical regulations, and privacy rules to evaluate innovation experiments.

 

Profile

 

Experience:

• 13+ years of industry experience with strong technical skills
• Minimum 3 years of experience as an architect

Core Databricks & Cloud Infrastructure

• Databricks Lakehouse Mastery : Expert-level proficiency in Databricks workspace organization, cluster optimization, Lakeflow Jobs, Databricks SQL, and Delta Lake storage internals including the Databricks AI capability.
• Cloud Architecture : Deep experience architecting scalable data platforms on cloud infrastructure, with a strong preference for AWS.
• Security & Governance : Hands-on implementation of enterprise cloud security standards (IAM, network VPCs/VNs, and encryption) paired with data governance tools like Unity Catalog and Collibra.
• Hadoop Migration : Practical understanding of legacy Hadoop-based data ecosystems to effectively guide modern cloud analytics migrations.

Data Engineering & Platform Design

• Advanced Data Engineering : Extensive background in building high-performance ETL/ELT pipelines, distributed data lakes, and modern lakehouse architectures.
• Spark & Databricks Optimization : In-depth knowledge of Apache Spark runtime mechanics, core DataFrame APIs, and performance tuning strategies for large-scale compute workloads. Propose optimization of Databricks architecture and usages.
• Enterprise Architecture Design : Advanced capability in conceptual, logical, and physical data modeling, with a proven track record of designing for massive scale, cost efficiency, and performance.
• Pattern Knowledge : Strong mastery of industry-standard architectural blueprints, integration frameworks, and enterprise software design patterns.

Leadership & Technical Stewardship

• Deep Technical Authority : Comprehensive engineering background within the data domain to confidently lead deeply technical design reviews and executive-level discussions.
• Engineering Mentorship : Passion for promoting software craftsmanship, CI/CD automation, and design best practices across distributed development teams.
• Architecture Representation : Exceptional high-quality modeling skills to visually represent complex current-state infrastructure and define future-state target architectures.
• Complex Problem Solving : Proven capability to investigate systemic production anomalies, manage incident responses, and engineer innovative fixes for complex data pipelines.

Preferred Certifications

• Databricks Certified Solutions Architect or Data Engineer Professional (highly preferred).
• AWS Certified Solutions Architect Professional (nice to have).

Behavioral Skills

• Proactive communication that is clear, concise, and adaptive to multicultural audiences.
• Technical discussion facilitation to identify challenges, resolve deadlocks, and share innovative ideas with peers.
• Collaborative mindset that operates independently while acting in the bank's best interest. Challenges business and IT business propositions.
• Strong synthesis skills to listen effectively, simplify complex topics, and positively engage stakeholders.
• Continuous benchmarking driven by curiosity about external marketplace trends.
• Language proficiency Professional proficiency in English is required; knowledge of French is nice to have.Will be responsible for one or more technical domains in GBTO
  Good understanding of designing & architecting on Azure
  Hands-on experience on big data stack
  Experience driving end-to-end architecture for large distributed systems
  Hands-on familiarity with Java/C#/Python (preferably Java/Python)
  Good in RDBMS, MQ, caching, load balancing, service discovery, micro services