Hi,
Hope you're doing well.
My name is Mayank, and I am a Technical Recruiter from Empower Professionals Inc. We are sourcing for a "Senior AWS Data Architect" role located at "Atlanta, GA" and it's a long-term contract with possible extensions.
Local to GA or nearby candidates only
Role- Senior AWS Data Architect (20665-1)
Location- Atlanta, GA (hybrid)
Duration: 12+ Months
Must Have Skills-
- Data Architect, PyTorch, ML experience (Preferred),
- Data Architect
- ETL
- CloudTrail, Cloud Watch
- AWS
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.
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.
Thanks
Mayank Verma
Senior Technical Recruiter | Empower Professionals
......................................................................................................................................
mayank@empowerprofessionals.com | LinkedIn: https://www.linkedin.com/in/mayankdverma/
Fax: 732-356-8009 | 100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873
Certified NJ and NY Minority Business Enterprise (NMSDC)
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