Position: Architect - Cloud & Data (AWS)
Experience:11+ Years
Location:Nagpur, Pune, Chennai
Employment Type: Full-time
Role Summary
The Senior Cloud & Data Architect (AWS) is responsible for defining, designing, and governing enterprise-scale cloud and data architectures on AWS.
This role focuses on building secure, high‑performance, scalable, and cost‑optimized data platforms, enabling analytics, reporting, and downstream AI/ML workloads while maintaining strong data governance, reliability, and operational excellence.
The architect will act as a technical leader and decision‑maker, establishing reference architectures, guiding engineering teams, and ensuring cloud and data standards are consistently applied across the organization.
Key Result Areas (KRAs)
- Define and own cloud and data architecture standards for AWS-based platforms.
- Design scalable data ingestion, processing, and storage architectures supporting batch and streaming workloads.
- Ensure robust security, networking, IAM, and compliance across cloud environments.
- Drive adoption of data governance, quality frameworks, and FinOps practices.
- Lead CI/CD and Infrastructure‑as‑Code (IaC) adoption for cloud and data assets.
- Act as a technical advisor for complex architectural decisions and modernization initiatives.
- Mentor senior engineers and review architecture, design documents, and implementations.
Work and Technical Experience:
Must Have:
- Strong hands‑on experience architecting and building AWS‑based data platforms using S3, EC2, EMR, Lambda, serverless services, with deep expertise in VPC, IAM, RBAC, encryption, HA/DR, multi‑environment setups, and Cloud FinOps.
- Advanced proficiency in Python, SQL, PySpark, and Scala, with the ability to design, optimize, and test high‑performance distributed data workloads.
- Expert knowledge of modern data formats and table layers including Delta Lake, Apache Iceberg, Parquet, and JSON, with deep understanding of schema evolution, partitioning, storage, and job optimization.
- Hands‑on experience with cloud data platforms such as Databricks and/or Snowflake, including query optimization, warehouse tuning, and columnar database performance.
- Strong foundation in data modeling, data warehousing, RDBMS, Big Data ecosystems, and semantic/analytics consumption layer design.
- Proven experience implementing batch, streaming , event‑driven, and real‑time data pipelines, including Lambda/Kappa architectures, metadata‑driven and reusable frameworks, and PII‑compliant designs.
- Ability to design resilient, fault‑tolerant, cost‑efficient architectures using autoscaling, serverless patterns, storage‑compute separation, and automated recovery (retry, timeout, idempotency).
- Hands‑on experience with data governance and observability, including cataloging, lineage, data quality, auditing, monitoring, logging, alerting, and compliance enforcement.
- Strong experience with CI/CD for data platforms, Terraform and Infrastructure‑as‑Code, Git‑based workflows, automated testing, cost optimization for Spark/Databricks/Snowflake, and data lifecycle, retention, and archival strategies.
Good to have
- Experience in the Media & Entertainment domain (preferred).
- Working knowledge of BI and analytics tools such as: MicroStrategy, Amazon QuickSight, Power BI
- Exposure to design thinking methodologies for user-centric solution design.
- Understanding front-end design concepts and UI/UX integration.
- Familiarity with Angular based UI integration patterns.
Required Qualifications
- Bachelor's degree in engineering, or related field
- 11+ years of experience across data engineering, cloud platforms, and solution architecture.
- Proven experience leading large-scale data and AI initiatives in enterprise environments.
- Strong stakeholder communication and architectural documentation skills.
