Responsibilities and Qualifications
- Lead architecture and solution design for our modern, secure, and scalable data platform and data-driven applications and define end-to-end use-case architectures that translate business goals into execution-ready data solutions
- Optimize the data platform architecture to meet security, governance, compliance and cost optimization requirements
- Design robust data architecture covering ingestion, processing, storage, serving, cataloging and lifecycle to maximize reliability, observability and business value
- Collaborate with data engineers to validate and operationalize designs and review proof-of-concepts to ensure architectural compliance and production readiness
- Act as an enabler by providing hands‑on support, guidance and implementation advice for the data platform team
- Mentor and coach the data platform team on architecture principles, data modelling and design trade‑offs; drive continuous improvement and mitigation of technical debt
- Engage stakeholders and define measurable outcomes (SLAs, performance and cost targets) to ensure solutions deliver expected business value
- Degree in Computer Science, Information Systems, Software Engineering, or a related field
- Minimum 7 years of experience in data or solution architecture with enterprise platform leadership exposure
- Proven expertise in architecting production‑grade data platforms on AWS (3+ years preferred)
- Strong knowledge of data modelling, lakehouse patterns, streaming, event‑driven design, and data mesh principles
- Advanced SQL and Python skills with experience reviewing code for architectural alignment
- Hands‑on experience with data virtualization, CI/CD, infrastructure as code, automated testing, and GitOps practices
Working Days: 5 days
Working Model: Hybrid
Working Timings: 7:45 AM to 5:00 PM
Working Experience: 7-10 years of experience