Engineering Manager – AWS to GCP Migration

Primary Focus:  AWS → GCP Migration | Data Engineering | Data Architecture | Engineering Leadership

About Naveera

Naveera is a global technology and engineering partner helping enterprises build, modernize, and scale their digital ecosystems through Data Engineering, Generative AI, Application Engineering, Cloud, and IT Infrastructure.

With 15+ years of experience in technology services and consulting, Naveera helps organizations turn complex technology challenges into scalable, production-ready solutions that deliver measurable business value.

Our approach is built around Production over Pilots. We focus on taking technology initiatives beyond experimentation and into production, scale, and measurable business outcomes.

Through our Center of Excellence driven delivery model, product engineering approach, and globally integrated teams, Naveera combines technical expertise, domain knowledge, and disciplined execution to serve enterprise clients across industries including Healthcare and Life Sciences, Financial Services, Manufacturing, Retail, Energy, and Technology.

About the Role

Naveera is looking for an experienced Engineering Manager with strong hands-on expertise across AWS and GCP Data Engineering, Data Architecture, and Cloud Migration to lead a large-scale AWS-to-GCP data platform migration.

This role requires a combination of technical architecture, hands-on engineering, migration leadership, engineering management, and stakeholder engagement.

The ideal candidate will have extensive experience designing enterprise data platforms on AWS and migrating complex data workloads to GCP. You should have strong knowledge of AWS services including S3, Glue, Redshift, Athena, Step Functions, and DMS, along with GCP expertise across BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.

You will work closely with US-based stakeholders, architects, engineers, DevOps, Data Science, BI, and business teams to define the migration strategy, establish the target architecture, and drive successful execution.

What You’ll Do

AWS to GCP Migration Leadership

• Lead the end-to-end migration of enterprise data platforms from AWS to GCP
• Assess existing AWS architecture, data pipelines, workloads, dependencies, and operational processes
• Define target-state GCP architecture and migration roadmaps
• Develop migration strategies across AWS and GCP services, including:
  • Amazon S3 → Google Cloud Storage
  • Amazon Redshift → BigQuery
  • AWS Glue → Dataflow / Dataproc / BigQuery
  • AWS Step Functions → Cloud Composer / Workflows
  • AWS DMS → GCP-native CDC solutions
  • Amazon Athena → BigQuery
• Identify opportunities to modernize workloads rather than simply performing lift-and-shift migrations
• Define migration phases, technical dependencies, risks, and rollback strategies
• Lead architecture reviews and technical design discussions

GCP Data Platform Architecture

• Architect scalable enterprise data platforms on GCP
• Design Data Lake and Lakehouse architectures using Google Cloud Storage and BigQuery
• Define Bronze, Silver, and Gold/Atomic data layers
• Design scalable data ingestion, transformation, and consumption frameworks
• Establish standards for data modeling, partitioning, clustering, and storage
• Design multi-tenant and multi-location data architectures
• Define schema-on-read and schema-on-write strategies

AWS Data Platform Expertise

• Analyze and optimize existing AWS data platforms before migration
• Work extensively with:
  • Amazon S3
  • AWS Glue
  • AWS Glue Data Quality
  • Amazon Redshift / Redshift Serverless
  • Amazon Athena
  • AWS Step Functions
  • AWS DMS
  • AWS Lake Formation
• Understand existing AWS ETL/ELT pipelines, data models, workloads, and dependencies
• Identify equivalent or improved GCP services for AWS workloads
• Develop technical service mappings and migration plans between AWS and GCP

GCP Streaming & Real-Time Data Engineering

• Architect real-time data pipelines using:
  • Google Pub/Sub
  • Dataflow / Apache Beam
  • BigQuery
  • Google Cloud Storage
• Design high-volume event ingestion, enrichment, and transformation pipelines
• Implement event-driven architectures and appropriate delivery guarantees
• Optimize streaming pipelines for latency, throughput, and scalability
• Design BigQuery streaming ingestion patterns
• Implement monitoring, logging, and alerting for real-time workloads

ETL / ELT & Data Processing

• Design and implement scalable batch and real-time ETL/ELT pipelines
• Migrate AWS Glue-based pipelines to appropriate GCP services
• Develop transformation frameworks using Python, PySpark, SQL, Dataflow / Apache Beam, BigQuery, and dbt
• Design CDC pipelines and real-time ingestion patterns
• Build orchestration workflows using Cloud Composer / Airflow
• Optimize data processing jobs and query performance

Data Modeling & BigQuery

• Design enterprise data models for analytics and reporting
• Define dimensional, normalized, and denormalized data models
• Design multi-tenant data structures
• Develop BigQuery partitioning and clustering strategies
• Optimize BigQuery SQL and query execution
• Design data models supporting both real-time and batch workloads
• Work closely with BI and Analytics teams to create scalable data consumption models

Data Governance, Security & Quality

• Establish data governance and data quality standards across GCP data platforms
• Implement automated data quality checks and validation frameworks
• Establish data lineage, metadata, and ownership standards
• Ensure appropriate security controls across GCP data layers
• Implement:
  • IAM
  • Least-privilege access
  • Encryption
  • Service accounts
  • Network security
  • Data access policies
• Work with governance and security teams to address compliance requirements
• Apply data governance practices using Dataplex, Data Catalog, and data lineage capabilities

DevOps, Infrastructure & Automation

• Lead infrastructure automation using Terraform
• Build repeatable and secure GCP infrastructure deployments
• Implement CI/CD pipelines for data engineering workloads
• Work with:
  • Terraform
  • Git
  • GitHub
  • Cloud Build
  • CI/CD pipelines
• Automate data pipeline deployment, testing, and infrastructure provisioning
• Establish Dev, QA, UAT, and Production deployment standards

Performance & Cost Optimization

• Lead performance optimization initiatives across GCP data workloads
• Optimize BigQuery query performance, partitioning, clustering, Dataflow pipelines, Spark workloads, Cloud Storage, and streaming workloads
• Analyze AWS workloads and determine cost-effective GCP architectures
• Develop cloud FinOps and cost optimization strategies
• Establish performance benchmarks and SLAs for critical workloads
• Monitor platform performance and identify opportunities for continuous optimization

Engineering Management & Team Leadership

• Lead and mentor Data Engineers, Senior Data Engineers, and Technical Leads
• Provide technical direction and establish engineering standards
• Conduct architecture and code reviews
• Define technical roadmaps and engineering priorities
• Break complex migration requirements into actionable deliverables
• Track engineering progress, risks, dependencies, and delivery milestones
• Promote best practices across coding, testing, CI/CD, security, and documentation
• Mentor engineers on GCP, data architecture, and modern data engineering practices

Stakeholder & Client Management

• Serve as a primary technical point of contact for US-based stakeholders
• Work closely with Business, Product, Data Science, BI, DevOps, and engineering teams
• Translate business requirements into scalable technical solutions
• Present architecture decisions, migration strategies, and technical roadmaps
• Communicate technical risks, dependencies, timelines, and trade-offs
• Collaborate with business teams to define operational and analytical KPIs

Required Skills & Experience

Data Engineering & Cloud Architecture

• 15+ years of experience in Data Engineering, Data Architecture, or Cloud Engineering
• Strong hands-on experience with AWS Data Engineering and Architecture
• 5+ years of hands-on GCP Data Engineering experience
• Proven experience delivering AWS-to-GCP migration projects
• Strong experience designing enterprise Data Lake and Lakehouse platforms
• Experience migrating complex AWS data workloads to GCP
• Strong understanding of AWS and GCP service mapping and cloud migration patterns

Data Engineering & Programming

• Expert-level SQL
• Strong Python and PySpark skills
• Strong data modeling and data warehousing experience
• Experience with batch and real-time data processing
• Experience with ETL/ELT architecture and data pipeline development
• Experience with CDC and event-driven data architectures

AWS

Strong hands-on experience with:

• Amazon S3
• AWS Glue
• AWS Glue Data Quality
• Amazon Redshift / Redshift Serverless
• Amazon Athena
• AWS Step Functions
• AWS DMS
• AWS Lake Formation

GCP

Strong hands-on experience with:

• BigQuery
• Dataflow
• Pub/Sub
• Google Cloud Storage
• Cloud Composer / Airflow
• GCP data architecture and platform services

DevOps & Infrastructure

• Terraform
• Git / GitHub
• CI/CD
• Cloud Build
• Infrastructure automation
• Production deployment practices

Leadership & Stakeholder Management

• Experience managing and mentoring data engineering teams
• Strong technical leadership and architecture skills
• Experience conducting architecture and code reviews
• Strong project and delivery management capabilities
• Strong communication and presentation skills
• Experience working with US-based stakeholders and distributed engineering teams

What You Can Expect at Naveera

At Naveera, you will work on large-scale cloud, data, and engineering transformation initiatives using modern enterprise technologies.

You will have opportunities to:

• Lead complex AWS-to-GCP cloud migration programs
• Work with modern cloud-native data platforms
• Shape enterprise data architecture and migration strategies
• Lead and mentor experienced engineering teams
• Work directly with US-based stakeholders and enterprise technology teams
• Solve complex data engineering and cloud modernization challenges
• Drive solutions focused on scalability, security, performance, reliability, and business value

Join Naveera

If you are an experienced Engineering Manager with strong expertise in AWS, GCP, Data Engineering, Data Architecture, and cloud migration, and are ready to lead complex enterprise transformation initiatives, we would like to hear from you.