Data Architect Advisory, AVP
Deutsche Bank View all jobs
- Pune, Maharashtra
- Permanent
- Full-time
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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