Tanisha Systems, Inc · 1 month ago
Senior Data Architect (AWS)
Atlanta, GA
Full-time
Onsite
Senior Level
7+ years expTanisha Systems, Inc. is a leading provider of Custom Application Development and IT Services. They are seeking a highly skilled Senior Data Architect to design, build, and optimize enterprise data platforms using the AWS ecosystem, focusing on data architecture, engineering, and machine learning pipeline enablement.
Information TechnologyMobileSoftware
Responsibilities
Design end-to-end data architectures across batch, streaming, and real-time use cases
Develop scalable data models, lakehouse structures, and metadata strategies aligned with business requirements
Architect ETL/ELT solutions using AWS Glue Jobs, Glue Data Catalog, Glue Studio, and Glue Workflows
Design architectures using essential AWS services including S3, Glue, Lake Formation, Athena, Redshift, IAM, KMS, VPC, CloudWatch, and CloudTrail
Ensure designs follow AWS Well-Architected Framework principles (security, cost, performance, reliability)
Build and optimize data pipelines in AWS using Glue, Lambda, Step Functions, EMR, Athena, and S3
Implement DAG-based orchestration using Apache Airflow, AWS Managed Workflows (MWAA), or Glue Workflows
Ensure data quality, reliability, lineage, and observability across all pipelines
Collaborate with ML teams to productionize models, including those built in PyTorch
Architect feature store solutions, data preparation workflows, and training/inference pipelines
Optimize storage and compute architectures for large-scale ML training and batch inference
Define and enforce data governance policies, IAM roles, encryption standards, and access patterns
Implement best practices for data security, privacy, and regulatory compliance (GDPR, HIPAA, etc.)
Establish metadata, lineage, and cataloging strategies using Glue Data Catalog and related tools
Use AWS KMS, Secrets Manager, and Parameter Store to enforce encryption and secret management
Set architectural standards and guide engineering teams on best practices in AWS data ecosystems
Mentor data engineers, analysts, and ML engineers on modern data-platform design
Evaluate new technologies and drive adoption of scalable, cost-efficient cloud solutions
Lead cost-optimization and architecture reviews
Qualification
Required
7+ years of experience in data architecture, data engineering, or similar roles
Expert-level knowledge of AWS Glue, S3, Athena, Lambda, Step Functions, and IAM
Hands-on experience with ETL/ELT development, distributed processing, and job optimization
Strong experience with DAG-based orchestration: Airflow, MWAA, Step Functions, or Glue Workflows
Experience integrating or supporting ML pipelines using PyTorch
Proficiency in Python, SQL, and scalable data-processing frameworks
Strong understanding of data modeling (OLTP, OLAP, lakehouse) and architectural patterns
Experience with CI/CD pipelines and DevOps on AWS
Preferred
AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect)
Experience with EMR, Redshift, Kinesis, or Kafka
Knowledge of MLOps tools (SageMaker, MLflow, Feature Stores)
Familiarity with IaC (Terraform, CloudFormation)
Experience working in enterprise-scale, highly regulated environments
Company
Tanisha Systems, Inc
Tanisha Systems, founded in 2002 in Massachusetts-USA, is a leading provider of Custom Application Development and end-to-end IT Services to clients globally.
1001-5000 employees
H1B Sponsorship
Tanisha Systems, Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (71)
2024 (55)
2023 (57)
2022 (96)
2021 (125)
2020 (123)
Funding
Current Stage
Late StageLeadership Team
Subba Badeti
CEO - Direct CLients
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