Data Architect – AVP

Job Title: Data Architect – AVP

Location: Pune, India

Role Description

• 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.

What we’ll offer you

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

Your key responsibilities

• 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.

Your skills and experience

• 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.

How we’ll support you

• 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

About us and our teams

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.