Data Cloud Engineering Architect
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Role Overview:
We are seeking a seasoned AWS Data Architect to design, implement, and optimize enterprise scale data solutions on AWS. The ideal candidate will have extensive experience in data engineering, governance, and cloud-native architectures, with hands-on expertise in AWS services supporting modern LakeHouse Architecture and advanced analyticsKey Responsibilities Architect and implement AWS Glue Jobs for scalable ETL/ELT pipelines. Design and manage LakeHouse Architecture using AWS Lake Formation. Establish robust Data Governance frameworks ensuring compliance, lineage, and metadata management. Developement-driven solutions leveraging AWS EventBridge and AWS Lambdas with Python. Build and optimize Data Streams (Kinesis, Firehose) for real-time ingestion. Model TimeSeries and Event-based data for analytics and reporting. Integrate with third-party systems to unify enterprise data ecosystems. Design and orchestrate Airflow DAGs for workflow automation. Enable advanced analytics using Athena, Redshift, and other engines. Implement AI-ready solutions leveraging AWS Bedrock.
Required Skills:
10+ years of experience in data architecture and engineering. Strong expertise in AWS Glue, Lake Formation, EventBridge, Kinesis/Firehose, Lambda (Python). Proven experience in LakeHouse design, data modelling, and governance. Hands-onwith Airflow DAGs, Athena, Redshift, and AWS Bedrock is preferred. Excellent communication and stakeholder management skills