Data Architect – AVP

Overview

• Data Architect is responsible for managing or performing work across multiple areas of the bank's data infrastructure including analysis, modelling, development, and administration. It may also involve taking functional oversight of data engineering delivery for specific projects. Planning and developing data solutions to accomplish business goals. Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of data solutions. Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow. Reviewing data plans and quality to drive re-use and improve delivery capability.
  
  
  

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above
  
  
  

• Own and evolve enterprise‑grade data models Design, implement, and maintain logical and physical data models across relational (Postgres, BigQuery) and NoSQL platforms, ensuring consistency, scalability, and alignment with platform data standards.
• Architect data solutions for Python‑based pipelines Partner with data engineers to ensure data models are optimised for Python‑driven batch and streaming pipelines, enabling efficient ingestion, transformation, and consumption by analytics and downstream systems.
• Lead knowledge graph and semantic modelling initiatives Define and implement knowledge graph structures (entities, relationships, ontologies) to enable richer data discovery, lineage, and cross‑domain analytics use cases.
• Ensure data quality, lineage, and governance by design Embed data quality rules, metadata, and lineage into architecture designs, aligning with internal data governance and risk data aggregation principles.
• Collaborate across global, cross‑functional teams Work closely with data science, engineering, and platform teams across regions, as well as stakeholders from other business and technology domains, to translate requirements into robust data architectures.
• Provide architectural guidance and design assurance Review designs, support technical decision‑making, and contribute to architecture forums to ensure solutions align with internal data architecture, security, and compliance expectations.
  
  
  

• Expert‑level data modelling expertise Strong hands‑on experience with conceptual, logical, and physical data modelling, including dimensional and domain‑driven models, aligned with internal enterprise data modelling guidelines.
• Advanced SQL and database querying skills Proven expertise in querying and optimising data on Postgres and BigQuery, with a solid understanding of performance tuning, indexing strategies, and cost‑efficient query design.
• Experience with NoSQL and graph data stores Practical knowledge of NoSQL databases and graph technologies, with the ability to select and model data appropriately based on access patterns and analytical needs.
• Knowledge graph and semantic technologies Experience designing and working with knowledge graphs, including entity resolution, relationship modelling, and metadata‑driven architectures, aligned to internal data lineage and discoverability standards.
• Strong understanding of data governance and controls Familiarity with internal enterprise guidance on data quality, lineage, privacy, and risk data management, and the ability to reflect these requirements in architecture and design decisions.
• Strong communication in a global delivery context Ability to clearly articulate architectural concepts and trade‑offs to diverse stakeholders across geographies and domains, working effectively within a global team model.
  
  
  

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs
  
  
  

Please visit our company website for further information:

https://www.db.com/company/company.html

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.