Designs and governs scalable enterprise data architectures, models, storage platforms, ETL/ELT pipelines, integrations, and data governance frameworks. Ensures data quality, security, compliance, lineage, privacy, and auditability across regulated environments. Provides architectural oversight, conducts design reviews, guides engineering teams, evaluates cloud and emerging technologies, and communicates architecture decisions to senior stakeholders. Partners with business, product, engineering, and governance teams to modernize and standardize data practices.
Job Description:
Job Title: Data Architect Advisory, AVP
Location: Pune, India
Role Description
The Data Architect plays a critical role in shaping the organization’s data landscape by designing scalable, secure, and future-ready data architectures.
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
Data Architecture Strategy & Governance
- Develop, maintain, and evolve the enterprise data architecture blueprint aligned with organizational goals and regulatory requirements.
- Define and enforce data modelling, metadata, lineage, data quality, and integration standards.
- Ensure all inter‑domain data flows adhere to enterprise data architecture and interface guidelines.
- Collaborate with CDO, CIO teams, and governance bodies to embed consistent enterprise data practices.
Solution & Data Modelling
- Design scalable conceptual, logical, and physical data models for operational, analytical, and regulatory systems.
- Define and recommend optimal data storage patterns—data warehouse, data lake, lakehouse, data mesh, etc.
- Lead design of ETL/ELT pipelines, event‑driven data flows, and API‑based integrations.
- Ensure data models support reusability, consistency, and alignment with business semantics.
Data Quality, Controls & Governance Enablement
- Define architecture to support data quality frameworks, validation controls, and monitoring capabilities.
- Work with Data Stewards, Data Owners, and platform teams to embed governance workflows.
- Promote adoption of Critical Data Elements (CDEs) and ensure data accuracy, completeness, and traceability.
Technical Leadership & Delivery Oversight
- Provide architectural oversight for data projects and ensure compliance with enterprise standards.
- Conduct design reviews, evaluate solution proposals, and validate implementation approaches.
- Guide engineering teams on architecture best practices, data security, and platform scalability.
- Identify and drive opportunities for modernization, automation, and performance optimization.
Cross‑Functional Collaboration
- Partner with business stakeholders to translate requirements into data architecture objectives.
- Work closely with Solution Architects, Engineering Leads, and Product Owners to design end‑to‑end solutions.
- Communicate architectural decisions, technical debt considerations, and solution impacts to senior leadership.
Security, Compliance & Risk Management
- Ensure all data architectures comply with security policies, access controls, encryption standards, and regulatory obligations.
- Embed controls for privacy, retention, and auditability into the data ecosystem.
Innovation & Continuous Improvement
- Evaluate emerging technologies, cloud services, and data engineering frameworks.
- Contribute to the evolution of enterprise data architecture standards and reusable accelerators.
- Advocate simplified, automated, and standardized data practices across teams.
Your skills and experience
- Strong expertise in data modelling, data architecture frameworks, and enterprise data technologies.
- Hands‑on experience with cloud data platforms (BigQuery, Snowflake, Databricks, Azure Data Lake, etc.).
- Deep knowledge of ETL/ELT, streaming technologies, API‑based data integration, and data warehousing concepts.
- Strong understanding of data governance, metadata management, lineage, MDM, and data quality.
- Experience in designing data platforms at scale in enterprise / regulated industries.
- Excellent communication, stakeholder management, and documentation skills.
- Ability to guide engineering teams and influence architectural decisions across departments.
Preferred Experience
- Working in financial services, banking, or other regulated industries.
- Experience with enterprise‑wide governance frameworks, CDE programs, and regulatory reporting.
- Familiarity with modern architectural patterns such as data mesh, data fabric, and distributed architectures.
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.
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.
Deutsche Bank Pune, Mahārāshtra, IND Office
Pune, India
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