Senior AWS Data Architect (AWS)| ETL, CloudTrail, Cloud Watch, ML experience, Architect| Atlanta, GA-Hybrid 3 days-Locals-C2C- CH

Role- Senior AWS Data Architect (AWS)

Location- Atlanta, GA-Hybrid 3 days

Duration- 12+ Months

Must Have Skills-

• Data Architect, PyTorch, ML experience
• Data Architect
• ETL
• CloudTrail, Cloud Watch
• AWS

Required Qualifications

• 7+ years in data architecture, data engineering, or a related field.
• Expert-level knowledge of AWS Glue, S3, Athena, Lambda, Step Functions, IAM.
• Strong hands-on experience with ETL/ELT, distributed processing, and job optimization.
• Expertise in DAG-based orchestration: Airflow, MWAA, Step Functions, or Glue Workflows.
• Experience supporting ML pipelines and PyTorch-based workflows.
• Strong proficiency in Python, SQL, and scalable data-processing frameworks.
• Solid understanding of OLTP, OLAP, and Lakehouse data-modeling patterns.
• Experience with CI/CD and DevOps practices on AWS.

Preferred Qualifications

• AWS certifications (e.g., Data Analytics Specialty, Solutions Architect).
• Experience with EMR, Redshift, Kinesis, Kafka.
• Knowledge of MLOps tools: SageMaker, MLflow, Feature Stores.
• Familiarity with IaC tools: Terraform, CloudFormation.
• Experience working in enterprise-scale, highly regulated environments.

Overview

We are seeking a highly skilled Senior Data Architect to design, build, and optimize enterprise data platforms on the AWS ecosystem. The ideal candidate brings deep experience in AWS Glue, distributed data processing, DAG-based orchestration, and machine-learning pipeline enablement (including PyTorch).
This role requires a blend of hands-on architecture, strategic planning, and technical leadership.

Key Responsibilities-

Data Architecture & Design

• Design end-to-end architectures across batch, streaming, and real-time use cases.
• Develop scalable data models, lakehouse structures, and metadata strategies aligned with business needs.
• Architect ETL/ELT solutions using AWS Glue Jobs, Glue Data Catalog, Glue Studio, and Glue Workflows.
• Design systems leveraging AWS services: S3, Glue, Lake Formation, Athena, Redshift, IAM, KMS, VPC, CloudWatch, CloudTrail.
• Ensure adherence to the AWS Well-Architected Framework (security, cost, performance, reliability).

Data Engineering & Pipelines

• Build and optimize pipelines using Glue, Lambda, Step Functions, EMR, Athena, and S3.
• Implement DAG-based orchestration with Apache Airflow, AWS MWAA, or Glue Workflows.
• Establish robust processes for data quality, lineage, reliability, and observability.

Machine Learning Pipeline Enablement

• Collaborate with ML teams to productionize PyTorch models.
• Architect feature store solutions, data-prep workflows, and training/inference pipelines.
• Optimize storage and compute architectures for large-scale model training and batch inference.

Security, Governance & Compliance

• Define and enforce data-governance policies, IAM architectures, and encryption standards.
• Ensure compliance with frameworks such as GDPR, HIPAA, etc.
• Implement metadata and lineage strategies via Glue Data Catalog and related tools.
• Utilize AWS KMS, Secrets Manager, Parameter Store for encryption and secrets management.

Technical Leadership

• Establish architectural standards and guide teams on AWS best practices.
• Mentor data engineers, analysts, and ML engineers.
• Evaluate and drive adoption of scalable, cost-efficient cloud solutions.
• Lead cost-optimization initiatives and architecture reviews.

Shivam Kumar

Technical recruiter | Empower Professionals

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