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Data Migration Architect – AWS, GCP
Naveera Technology LLCData 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.
Tech Stack
Tools & technologiesAirflowAmazon 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