Senior Vice President, Data Architect

We’re seeking a future team member for the role of Senior Vice President, Data Architect to join our PAYMENTS ENABLEMENT ENGINEERING team. This role is located in Pune.
In this role, you’ll make an impact in the following ways:
Lead the design of enterprise data architecture, including conceptual, logical, and physical data models
Define scalable architecture patterns for data ingestion, transformation, storage, integration, and distribution
Build and optimize enterprise data pipelines to support reporting, analytics, finance, risk, regulatory, and operational use cases
Establish and enforce standards for data governance, metadata, lineage, data quality, and security
Design and implement cloud-based data solutions using any of the tools/technologies like Hadoop, Snowflake, Azure, and other modern data platforms
Collaborate with business, product, engineering, and operations teams to translate business requirements into effective technical solutions
Support analytics and business intelligence initiatives by enabling trusted and governed data products
Lead architecture reviews, technical design discussions, and solution approvals across enterprise programs
Ensure adherence to architecture standards, regulatory expectations, and enterprise compliance requirements
Drive best practices for resilience, scalability, performance tuning, and operational support
Provide technical leadership and mentorship to engineering and architecture teams across programs and initiatives
To be successful in this role, we’re seeking the following:
18+ years of experience in data architecture, data engineering, enterprise data platforms, or related technology roles
Bachelor’s degree or higher in Computer Science, Engineering, Information Systems, or a related discipline
Strong experience in enterprise data architecture and data modeling, including conceptual, logical, and physical models
Strong working experience in RDBMS like Oracle, Postgres as well as No SQL databases like Mongo etc
Strong working experience in Snowflake and Hadoop ecosystem etc
Hands-on experience with Data Warehousing, Data Lake, and modern enterprise data platform concepts
Hands-on experience and understanding of AI , Data Mesh etc
Strong expertise in ETL/ELT architecture, pipeline design, and data integration patterns
Strong proficiency in SQL and Python
Hands-on experience with Snowflake and modern cloud-based data architecture
Experience with DBT, Airflow and/or similar ETL/integration tools such as Informatica or Pentaho
Good working knowledge of On Prem as well as public cloud platforms
Strong understanding of Data Governance, Metadata Management, Data Lineage, Master Data Management (MDM), and Data Quality frameworks
Experience implementing security, compliance, and control requirements within enterprise data solutions
Experience with Agile , CI/CD, DevOps practices, and orchestration frameworks in support of data platform delivery
Strong stakeholder management, communication, and problem-solving skills
Ability to lead architecture discussions, influence decisions, and work across cross-functional teams
Strong understanding of Payments or financial services / banking domain, including risk, finance, and regulatory reporting data needs
Good to Have
Experience with Power BI or similar analytics / visualization platforms
Experience with reference data and enterprise data management frameworks
Prior experience in banking, capital markets, or large regulated enterprises
Experience leading large-scale cloud migration or data modernization programs
Experience supporting architecture review boards or design authority forums
Familiarity with enterprise reporting, client data, and operational data product use cases
Experience mentoring teams and providing strategic technical leadership across multiple