Job Summary :The Senior AWS Data Lake Architect is responsible for designing, building, and scaling the organizations AWS-based data lake platform, with a solid focus on enabling AI and machine learning solution deployment. This role owns the end-to-end architecture of the data lake ecosystem - from ingestion and storage through governance and consumption - and partners closely with data science and AI engineering teams to operationalize AI models in production. The role also provides technical leadership and mentorship across the data engineering function.Responsibilities :- Architect, design, and implement scalable, secure AWS data lake solutions (Amazon S3, AWS Lake Formation, AWS Glue, Amazon EMR, Amazon Redshift, Amazon Athena, Amazon Kinesis/MSK), including reference architecture, data zoning, partitioning strategy, and schema/catalog management (25%).- Lead the design and deployment of AI/ML-ready data pipelines, including feature stores and model training pipelines, and integrate with Amazon SageMaker and Amazon Bedrock to support generative AI and machine learning use cases (20%).- Partner with data science and AI engineering teams to operationalize AI solutions in production, including model deployment pipelines, MLOps integration, and inference data flows (15%).- Establish and enforce data governance, security, and compliance standards, including IAM, KMS encryption, Lake Formation permissions, and audit logging (15%).- Drive cost optimization and performance tuning across storage, compute, and query layers,



and evaluate new AWS services and architectural patterns (15%).- Provide technical leadership and mentorship to data engineers, own technical documentation and architecture decision records, and support operational handoffs for production issues (10%).Minimum Qualifications:- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field required; Master's degree preferred.- 8+ years' experience in data engineering or data architecture required; 5+ years specifically architecting solutions on AWS required.- Hands-on experience designing and operating AWS data lake architectures, including Amazon S3, AWS Lake Formation, AWS Glue, Amazon EMR, Amazon Redshift, Amazon Athena, and Amazon Kinesis/MSK.- Demonstrated experience deploying or supporting AI/ML solutions in production, including integration with Amazon SageMaker and Amazon Bedrock.- Proficiency in Python and/or Scala/Spark for large-scale data processing.- Strong understanding of data governance, security, and compliance best practices in cloud environments.Desired Qualifications :- AWS Certified Data Engineer - Associate (DEA-C01) or equivalent AWS certification (e.g., AWS Certified Solutions Architect - Professional).- Experience with modern lakehouse formats such as Apache Iceberg, Delta Lake, or Apache Hudi.- Experience architecting generative AI solutions on AWS using Amazon Bedrock, including foundation model access, agents, and knowledge bases.- Exposure to infrastructure-as-code (Terraform, AWS CloudFormation, or AWS CDK) for provisioning data platform resources.- Experience operating in regulated or large-scale enterprise environments with strict data governance requirements. (ref:hirist.tech)

📌 Semtech - Senior AWS DataLake Architect (Hyderabad)
🏢 SEMTECH ADVANCED SYSTEMS INDIA
📍 Hyderabad