Platform Architect (Data Analytics & Management) - Vice President

Overview

Provide end-to-end architectural leadership for the Client360 enterprise data platform. Own its technical integrity, scalability, security, resilience, and evolution across cloud architecture, data integration, Databricks Lakehouse processing, governance, APIs, application integration, DevSecOps, and observability.

What you'll do

• Own and maintain the end-to-end solution architecture, reference models, integration patterns, technology standards, and architectural decision records.
• Convert business capabilities, data requirements, service-level objectives, security obligations, and regulatory constraints into scalable technical designs.
• Define target-state and transition architectures across ingestion, processing, storage, governance, orchestration, serving, APIs, applications, analytics, and archival.
• Evaluate emerging technology through proofs of concept for functional use cases and technical scenarios.
• Establish batch and near-real-time ingestion patterns using APIs, JDBC, file transfers, Auto Loader, and event-driven mechanisms.
• Own IAM and cloud security architecture across AWS and Databricks.
• Define high-availability and disaster-recovery architecture, including availability targets, RTO/RPO, multi-availability-zone and cross-region patterns, failover/failback procedures, backup validation, and resilience testing.
• Lead capacity planning and scalability engineering, including data growth, concurrency, pipeline volume, API demand, storage, compute, network throughput, recovery capacity, autoscaling, workload isolation, quotas, performance baselines, load testing, and cost guardrails.
• Architect API and application integrations across Java/Spring Boot, MuleSoft, Redis, ReactJS, NodeJS, Tableau, chatbot, and external endpoints.
• Lead non-functional design for availability, performance, scalability, recoverability, maintainability, observability, security, and cost efficiency.
• Drive data governance, cataloging, lineage, classification, retention, access controls, and segregation-of-duties practices.
• Set CI/CD and infrastructure automation standards using GitHub, Jenkins, Artifactory, and infrastructure as code.
• Define monitoring, logging, alerting, operational dashboards, support runbooks, and service health measures using CloudWatch, Grafana, Kibana, and log analytics.
• Chair architecture and design reviews and identify risks, trade-offs, dependencies, technical debt, and remediation plans.
• Partner with product owners, data engineers, application engineers, security, infrastructure, operations, governance, and enterprise architecture stakeholders.
• Guide proofs of concept, technology evaluations, capacity planning, performance testing, production readiness reviews, and incident root-cause analysis.
• Mentor technical leads and engineers, promote reusable patterns, and ensure implementation conforms to approved architecture.
• Manage the architectural roadmap and simplify the platform while improving automation, reliability, and total cost of ownership.

What you'll need

• 20+ years of technology experience.
• At least 10 years in architecture or senior technical leadership roles.
• Demonstrated ownership of enterprise-scale cloud data platforms from design through production operation.
• Experience in regulated or highly controlled environments.
• Track record of leading cross-functional teams and influencing senior engineering, product, security, risk, and operations stakeholders.
• Strong written and verbal communication, with the ability to explain complex trade-offs to technical and executive audiences.
• Enterprise thinking with strong execution discipline.
• Sound judgment in balancing delivery speed, engineering quality, risk, and cost.
• Ability to challenge designs constructively and drive decisions through ambiguity.
• Strong stakeholder management, facilitation, negotiation, and technical storytelling.
• Commitment to engineering excellence, continuous improvement, and talent development.

Nice to have

• Experience in financial services.
• Databricks Platform Architect certification and/or AWS Solutions Architect – Professional or equivalent cloud architecture certification.
• TOGAF or another recognized enterprise architecture certification.
• Experience with infrastructure as code, automated policy enforcement, FinOps, and platform engineering.
• Knowledge of master data management, customer-360 data products, data quality frameworks, and AI/ML operational governance.

Details

• Location: Bangalore, India.