isolve technology inc
isolve technology inc

Platform Data Architect/Enterprise Data Architect – AWS / Snowflake / Databricks

Remote • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data
  • AWS
  • Data Architect

Summary

Role: Platform Data Architect

Location: Remote
Duration: 12 months

 

Required Qualifications

  • 12–15+ years of experience in data architecture, data engineering, and enterprise data platform development.
  • Strong hands-on experience designing and implementing AWS-based enterprise data platforms.
  • Proven experience with Snowflake, Databricks, and modern Lakehouse architectures.
  • Extensive knowledge of big data technologies, distributed processing, and real-time streaming architectures.
  • Experience leading enterprise data modernization and cloud migration initiatives.
  • Strong understanding of data governance, security, compliance, and enterprise data modeling.
  • Experience with Infrastructure as Code, DevOps, and automated deployment practices.
  • Excellent communication, stakeholder management, technical leadership, and architectural documentation skills.

 

 Key Responsibilities

  • Design and architect scalable, secure, and high-performance enterprise data platforms using AWS cloud services.
  • Define and implement modern data architectures, including Data Lake, Data Lakehouse, Data Warehouse, and Data Mesh.
  • Lead the architecture and implementation of cloud-based data platforms leveraging Amazon S3, AWS Glue, Amazon Redshift, Athena, EMR, and Lake Formation.
  • Design and optimize Snowflake and Databricks Lakehouse environments for enterprise analytics and large-scale data processing.
  • Architect and implement batch and real-time data ingestion, transformation, and processing pipelines using Apache Spark, PySpark, Kafka, AWS Glue, and Kinesis.
  • Develop enterprise ETL/ELT frameworks and data orchestration solutions using Apache Airflow, AWS Step Functions, and Databricks Workflows.
  • Establish enterprise data architecture standards, reference architectures, conceptual/logical/physical data models, and data flow documentation.
  • Implement data governance, data quality, metadata management, data cataloging, lineage, and access control frameworks.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90929724
  • Position Id: 9131193
  • Posted 1 hour ago
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Eshwar Chappali

Eshwar Chappali

Recruiter @ isolve technology inc

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