Posted on: 12/01/2026
Job Summary :
We are seeking a highly experienced AWS Solutions Architect with deep expertise in AWS Data & Analytics services to design, build, and implement scalable, secure, and high-performance cloud solutions. The ideal candidate will have a strong background in data architecture, Python-based automation, and AWS-native analytics platforms, and will work closely with cross-functional teams to solve complex business and technical challenges.
This is a hands-on, consulting-oriented role that requires strong solution design skills, stakeholder engagement, and the ability to translate business requirements into robust AWS architectures.
Key Responsibilities (KRAs) :
Solution Architecture & Design :
- Design and implement end-to-end AWS data and analytics architectures using services such as AWS Glue, Redshift, S3, Lambda, Step Functions, and Athena.
- Define scalable, fault-tolerant, and cost-optimized cloud architectures aligned with business and technical requirements.
- Develop architectural blueprints, reference architectures, and technical design documents.
Data Engineering & Analytics :
- Build and optimize ETL/ELT pipelines using AWS Glue and Python.
- Design and implement data models, including Star and Snowflake schemas, to support analytics and reporting workloads.
- Write and optimize complex SQL queries for transformations, aggregations, and data validation.
- Ensure high data quality, consistency, and performance across analytics platforms.
Development & Automation :
- Develop serverless applications and workflows using AWS Lambda and Step Functions.
- Implement Python-based automation for data processing, orchestration, and monitoring.
- Promote best practices in software development, code reviews, and reusable components.
Integration & BI Enablement :
- Integrate AWS data platforms with BI and reporting tools such as Tableau, DataiQ, and OBIEE.
- Support analytics and reporting teams by enabling optimized data access and performance.
- Explore and contribute to emerging areas such as Generative BI and advanced analytics.
Governance, Security & Compliance :
- Implement data governance, cataloging, and lineage using AWS-native tools and best practices.
- Ensure data security through IAM policies, encryption, access controls, and auditing.
- Align architectures with organizational compliance and regulatory standards.
Stakeholder Collaboration & Consulting :
- Act as a trusted technical advisor to business stakeholders and engineering teams.
- Translate business process challenges into practical, scalable technical solutions.
- Collaborate with cross-functional teams including product, data, BI, and infrastructure teams.
Required Skills & Experience :
Technical Skills :
- 8+ years of overall IT experience with strong focus on AWS architecture and data platforms.
- 5+ years of hands-on experience with :
- Strong analytical and problem-solving abilities.
- AWS Certified Data Analytics - Specialty (or similar AWS certification).
- Hybrid work setup - combination of on-site and remote work.
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Posted in
Data Engineering
Functional Area
Data Mining / Analysis
Job Code
1600259