Principal Solution Architect

New
P
phDataData & AI Consulting
US - Remote, Central and/or Eastern time zones with significant overlap to US Central TimeFull-TimePrincipal
Salary not disclosed
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Job Details

Experience
15+ years
Required Skills
AWSPythonSQLKafkaSnowflakeAirflowAzureSparkTerraformCloudFormation

Requirements

  • 15+ years of experience architecting and optimizing modern cloud-based data platforms in enterprise environments.
  • Advanced expertise in Snowflake and at least one major cloud platform (AWS or Azure).
  • Hands-on experience with cloud and distributed storage (S3, ADLS, NoSQL).
  • Strong background in data integration (Spark, Kafka, Fivetran, Azure Data Factory).
  • Experience with workflow orchestration tools (Airflow, AWS Managed Airflow).
  • Strong SQL skills for complex query optimization.
  • Experience with Infrastructure as Code (Terraform or CloudFormation).
  • Proficiency in building automated solutions using Python.
  • Familiarity with CI/CD frameworks (Bitbucket, GitHub, Flyway, Liquibase).
  • Active daily use of AI coding tools with demonstrated judgment.
  • Experience in professional services or consulting environments.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

Responsibilities

  • Design, provision, and enhance cloud-native data solutions on AWS and/or Azure.
  • Lead operations for modern data platforms across streaming, data lakes, and analytics workloads.
  • Translate business requirements into actionable roadmaps, epics, and tasks.
  • Recommend architectures for cloud-native data warehouses and distributed storage technologies.
  • Deliver automation and optimization to improve platform security, scalability, and performance.
  • Lead and mentor engineering teams, providing technical direction and decision-making.
  • Present technical recommendations to executive and senior client stakeholders.
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