Data Architect with AWS
Argyle Infotech
Job Title
Design and implement scalable application-centric data architectures in AWS and Azure environments.
Architect and optimize enterprise Data Lake / Lakehouse solutions (in-house implementation is mandatory).
Define data models, metadata management, and data integration strategies.
Build and manage cloud-native data pipelines and ETL/ELT processes.
Collaborate with application development teams to ensure data architecture aligns with business requirements.
Ensure compliance with enterprise data governance, security, and regulatory standards (banking/financial domain preferred).
Provide architectural guidance for cloud migration and modernization initiatives.
Perform performance tuning and optimization of data platforms.
Work closely with DevOps and Cloud teams for CI/CD and infrastructure automation.
Provide technical leadership and mentor data engineering teams.
Required Skills & Experience
10+ years of overall IT experience.
Strong hands-on experience as an Application Data Architect.
Deep expertise in AWS services such as:
- S3
- Redshift
- Glue
- EMR
- Lambda
- RDS
Working experience with Microsoft Azure data services.
Proven experience designing and implementing Enterprise Data Lake / Lakehouse architecture (in-house lake is mandatory).
Strong experience in:
- Data Modeling (Conceptual, Logical, Physical)
- ETL/ELT frameworks
- Data Pipelines
- API-based integrations
Strong understanding of data governance, security, and compliance.
Experience working in banking or financial services domain is a plus.
Excellent communication and stakeholder management skills.
Preferred Qualifications
Experience in hybrid cloud architecture (AWS + Azure).
Knowledge of modern data frameworks (Spark, Databricks, etc.).
Familiarity with CI/CD, DevOps practices.
Experience working in Agile/Scrum environments.
$140k - $170k
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