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Senior AWS Data Architect

isolve technology incUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
SQLApache SparkAWSETLSnowflakeApacheCDKCloudFormationDatabricksPythonRedshiftTerraformCI/CD

Job description

Principal AWS Data Architect

Location: Remote
Duration: 12 months

Required Qualifications

  • 20+ years of overall IT experience in enterprise architecture, software engineering, and data platforms.
  • 10+ years of experience in AWS cloud architecture and implementation.
  • Extensive experience designing and implementing enterprise-scale data lakes and lakehouse platforms.
  • Strong hands-on experience with AWS Glue, Amazon S3, and Apache Iceberg.
  • Proven experience architecting both batch and event-driven data processing solutions.
  • Expert-level SQL and strong database performance optimization skills.
  • Strong experience with Python and PySpark.
  • Experience designing high-volume, scalable, secure, and fault-tolerant data processing solutions.
  • Excellent architecture documentation, communication, and technical leadership skills.

Required Technical Skills

Technology / Area

Required Expertise

AWS Architecture

10+ years of AWS architecture and implementation experience

Amazon S3

Data lake design, storage optimization, partitioning

AWS Glue

Glue Jobs, Crawlers, Workflows, Data Catalog

Apache Iceberg

ACID transactions, snapshots, schema evolution, time travel

AWS Lake Formation

Data governance, permissions, access management

AWS Athena

Serverless SQL analytics and query optimization

AWS Redshift

Data warehousing and analytical workloads

AWS Lambda

Serverless event-driven processing

Amazon EventBridge

Event routing and event-driven architecture

Amazon SQS / SNS

Asynchronous messaging and integration

Amazon Kinesis

Streaming and real-time data ingestion

AWS Step Functions

Batch orchestration and workflow management

Python / PySpark

Data engineering and large-scale transformations

SQL

Advanced SQL, query tuning, analytical data modeling

Data Architecture

Data lake, lakehouse, ETL/ELT, CDC, dimensional modeling

DevOps / IaC

AWS CDK, Terraform, CloudFormation, CI/CD

Preferred Qualifications

  • AWS Certified Solutions Architect – Professional.
  • AWS Certified Data Engineer – Associate.
  • Experience with enterprise data modernization and migration initiatives.
  • Experience with Snowflake, Databricks, Apache Spark, or other modern data platforms.
  • Experience with Data Mesh, Data Fabric, and domain-oriented data architecture.
  • Experience with CDC technologies such as AWS DMS and database replication patterns.
  • Experience implementing CI/CD and Infrastructure as Code for data platforms.

Expected Deliverables

  1. Enterprise AWS Data Platform Reference Architecture.
  2. S3 Data Lake and Apache Iceberg Lakehouse Architecture.
  3. AWS Glue ETL/ELT Framework and Reusable Processing Components.
  4. Batch and Event-Driven Data Processing Framework.
  5. Enterprise Data Modeling and SQL Standards.
  6. Data Governance, Security, and Data Quality Framework.
  7. Data Platform Performance and Cost Optimization Strategy.
  8. Architecture Decision Records (ADRs), HLDs, LLDs, and implementation roadmaps.
  9. Technical leadership, mentoring, and architecture governance.

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