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Naveera Technology LLC

Data Migration Architect – AWS, GCP

Naveera Technology LLC

Data Migration Architect leading enterprise-scale migrations from AWS to GCP at Naveera Technology LLC. Drive modernization of analytics and data platforms in a collaborative remote environment.

Posted 7/8/2026full-timeRemote • New York • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftApacheAWSBigQueryCloudDynamoDBETLGoogle Cloud PlatformPySparkPythonSQLTerraform

About the role

Key responsibilities & impact
  • Lead end-to-end migration of enterprise data platforms from AWS to Google Cloud Platform
  • Design migration strategies for AWS Redshift, Glue, S3, DynamoDB, Data Lakes, Data Warehouses, and ETL pipelines into GCP-native services
  • Modernize existing AWS data architectures using Google Cloud best practices
  • Assess existing AWS environments and recommend optimized GCP solutions
  • Ensure seamless migration with minimal business disruption
  • Design scalable batch and streaming data pipelines using Google Dataflow (Apache Beam)
  • Develop event-driven architectures using Google Pub/Sub
  • Build enterprise analytical solutions using BigQuery, including streaming inserts and performance optimization
  • Develop and orchestrate workflows using Cloud Composer (Apache Airflow)
  • Manage enterprise-scale storage using Google Cloud Storage (GCS)
  • Implement cloud-native data engineering solutions following Google Cloud best practices
  • Design, develop, and optimize ETL/ELT pipelines using AWS Glue and AWS Glue DataBrew
  • Work extensively with Amazon Redshift, Amazon S3, and DynamoDB
  • Develop scalable ETL workflows using Python, PySpark, and SQL
  • Build and maintain Data Lakehouse architectures supporting enterprise analytics
  • Optimize data ingestion, transformation, and loading processes across hybrid cloud environments
  • Design modern Data Lakehouse, Data Warehouse, and Data Lake architectures
  • Develop dimensional data models, star schemas, and optimized analytical datasets
  • Build transformation pipelines using DBT (Data Build Tool)
  • Write and optimize complex SQL queries for high-performance analytics
  • Ensure data quality, governance, metadata management, and performance optimization
  • Lead migration of enterprise dashboards from Qlik Sense to Looker
  • Translate business reporting requirements into scalable semantic models
  • Optimize reporting performance using BigQuery and LookML best practices
  • Collaborate with business stakeholders to modernize enterprise reporting platforms
  • Lead architecture design sessions and cloud migration workshops
  • Mentor Data Engineers and establish engineering best practices
  • Conduct architecture, code, and design reviews
  • Collaborate with business, DevOps, QA, and Analytics teams
  • Coordinate effectively with onsite and offshore delivery teams
  • Implement enterprise security standards across AWS and GCP
  • Define IAM, encryption, auditing, and monitoring strategies
  • Ensure compliance with governance and regulatory standards
  • Establish data quality frameworks and operational monitoring
  • Gather business requirements and define cloud migration roadmaps
  • Estimate project efforts and prepare technical solution documents
  • Manage project timelines, risks, dependencies, and stakeholder communications
  • Present technical architecture and migration strategies to leadership and clients

Requirements

What you’ll need
  • 10+ years of overall experience
  • Hands-on AWS & GCP Data Engineering expertise
  • AWS to GCP Migration
  • Google Cloud Platform (GCP)
  • Google Pub/Sub
  • Dataflow (Apache Beam)
  • BigQuery
  • Cloud Composer (Airflow)
  • Google Cloud Storage (GCS)
  • AWS Redshift
  • AWS Glue
  • AWS Glue DataBrew
  • Amazon S3
  • DynamoDB
  • DBT (Data Build Tool)
  • SQL
  • Python
  • PySpark
  • Data Lakehouse
  • ETL/ELT
  • Qlik Sense to Looker Migration
  • Cloud SQL
  • Terraform
  • CI/CD

Benefits

Comp & perks
  • Flexible remote work environment
  • Exposure to global enterprise customers
  • Collaborative, innovation-driven engineering culture
  • Continuous learning and certification opportunities

ATS Keywords

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Hard Skills & Tools
AWS RedshiftAWS GlueAWS Glue DataBrewAmazon S3DynamoDBDBT (Data Build Tool)SQLPythonPySparkCloud SQL
Soft Skills
CollaborationMentoringStakeholder CommunicationProject Management