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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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in AWS and Google Cloud Platform data engineering, focusing on end-to-end migration, optimization of data architectures, and development of scalable data pipelines. Proficient in designing and implementing ETL/ELT processes, ensuring data quality, and collaborating with cross-functional teams to meet business reporting needs.

Highest-signal resume keywords
AWS To GCP MigrationGoogle Cloud Platform (GCP)Dataflow (Apache Beam)BigQueryETL/ELT

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AWS RedshiftAWS GlueAWS Glue DataBrewAmazon S3DynamoDBDBT (Data Build Tool)SQLPythonPySparkCloud SQL
Soft Skills
CollaborationMentoringStakeholder CommunicationProject Management
Tools & Technologies
Google Pub/SubCloud Composer (Airflow)Google Cloud Storage (GCS)TerraformCI/CD
Industry Keywords
Data LakehouseData WarehouseData LakesGovernanceCompliance

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