We are seeking an accomplished AWS Data Architect with experience in designing, implementing, and optimizing cloud-based data platforms. The ideal candidate will have extensive experience in data architecture strategy, cloud migrations, and modern data ecosystems using AWS native services. This role involves close collaboration with business stakeholders, data engineers, and analytics teams to develop scalable, secure, and high-performance data solutions.

Role and responsibilities :

- Define and implement enterprise-level data architecture strategy aligned with business goals.

- Design and optimize cloud-native data platforms using AWS services such as Redshift, Glue, Athena, S3, EMR, and Lake Formation.

- Lead data modernization and migration initiatives from on-prem or legacy systems to AWS.

- Establish data modeling standards and best practices across data storage, transformation, and analytics layers.

- Architect end-to-end data pipelines, integrating structured, semi-structured, and unstructured data sources.

- Collaborate with security and compliance teams to implement robust role-based access control, data encryption, and governance frameworks.

- Guide teams in performance tuning, cost optimization, and automation using tools like CloudFormation, Terraform, or CDK.

- Partner with analytics and BI teams (e.g., Power BI, QuickSight, Tableau) to ensure data models support reporting and AI-driven insights.

- Mentor technical teams, conduct design reviews, and provide architectural oversight across projects.

Required Qualifications :

- Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

- Experience in data architecture, data engineering, or solution design, including 5+ years in AWS cloud environments.

- Strong expertise in AWS Redshift, Glue, S3, Athena, Lambda, and related data services.

- Proven track record with modern data architectures (Data Lake, Data Mesh, and Lakehouse patterns).

- Proficiency in SQL, Python, and ETL design patterns.

- Experience integrating data from diverse sources such as RDBMS, APIs, FHIR, and streaming data.

- Strong understanding of metadata management, data cataloging, and lineage tools.

- Knowledge of data security, IAM policies, and compliance frameworks (HIPAA, GDPR, SOC 2)

- Implementation of CI/CD pipeline experience as a good to have skills.

Preferred Skills :

- AWS Certified Data Analytics or Solutions Architect certification.

- Experience with hybrid data architecture combining on-premises and cloud data systems.

- Exposure to AI/ML data pipelines or AWS SageMaker.

- Familiarity with tools like Databricks, Snowflake, or AWS Redshift Spectrum.

- Excellent communication and stakeholder management skills.