About The Position

The Solutions Architect will define and implement target state architecture, modernization strategies, and data migration initiatives across application, data, and cloud environments. The role involves leading architecture roadmaps, managing cloud and security frameworks, overseeing large-scale data migrations, and guiding engineering teams through platform modernization. The candidate will ensure system performance, security, compliance, and scalability while supporting enterprise architecture and digital transformation initiatives.

Requirements

  • 8–12+ years in software engineering/architecture, with 3–5+ years leading legacy modernization programs
  • Hands on architecture experience across application, data and cloud domains
  • Proven delivery of data migrations at scale (TB+), including CDC and high fidelity reconciliation
  • Strong cloud architecture skills in AWS and/or Azure (networking, IAM, storage, compute, managed databases, messaging, monitoring)
  • Solid understanding of security and compliance (encryption, secrets, least privilege, auditability)

Nice To Haves

  • Experience in financial services / BFSI or other regulated industries
  • Hands on with Snowflake/Redshift/BigQuery or Azure/AWS data services (e.g., Databricks, Glue, Data Factory)
  • MDM, data quality and catalog/lineage tools (e.g., Collibra, Alation, Ataccama, Informatica)
  • Messaging/event streaming (Kafka, Event Hubs, SNS/SQS), caching (Redis), API gateways
  • Performance engineering and cost optimization in cloud.
  • Certifications (e.g., AWS/Azure Solutions Architect, CKA/CKAD, TOGAF).

Responsibilities

  • Define the target state architecture spanning application, data, integration, security, and operations including domain boundaries, service decomposition and cloud reference patterns
  • Create and maintain the modernization roadmap: iterative cutovers, strangler fig patterns, co existence strategies and rollback plans
  • Establish non functional requirements (NFRs) and SLAs/SLOs for availability, performance, security, compliance, resilience and cost
  • Lead data discovery and profiling; build a data rationalization blueprint (canonical models, golden records, de duplication rules, survivorship logic)
  • Define and govern data quality metrics (completeness, accuracy, timeliness), data lineage and metadata standards
  • Architect migration waves for historical data (bulk loads + change data capture), including schema mapping, validation and reconciliation
  • Select and guide tooling for ETL/ELT, CDC, data quality, MDM and catalog/lineage
  • Implement archival/retention strategies and PII masking/tokenization aligned to regulatory needs.
  • Lead cloud landing zone decisions (AWS/Azure), including networking, identity, secrets management, KMS, backup/DR, observability and cost governance
  • Translate architecture into epics and technical stories; guide squads through iterative delivery and incremental cutovers
  • Run architecture reviews, threat modeling and design clinics; resolve tech debt and make trade offs visible
  • Mentor engineers; build a culture of observability, reliability and automation
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