Data Engineering Manager – AWS to GCP Migration

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Naveera Technology LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Naveera Technology LLC is a technology consulting and engineering firm that helps businesses become AI-first by building production-ready data engineering, machine learning, generative AI, application development, and IT infrastructure solutions. The company delivers end-to-end services—from data pipelines and cloud infrastructure to GenAI model development, MLOps, and custom web/mobile enterprise applications—focused on turning raw data into actionable intelligence and scalable systems. Naveera serves industries such as digital health, fintech, e-commerce, and enterprise clients through global delivery, extended teams, and a center-of-excellence model.

📋 Description

• Lead the end-to-end migration of enterprise data platforms from AWS to GCP • Assess AWS architecture, data pipelines, workloads, dependencies, and operational processes • Define target-state GCP architecture, migration roadmap, phases, risks, dependencies, and rollback strategies • Architect and implement scalable GCP Data Lake and Lakehouse platforms using Google Cloud Storage and BigQuery • Design batch and real-time ETL/ELT, CDC, streaming ingestion, transformation, orchestration, and consumption frameworks • Lead architecture reviews, technical design discussions, code reviews, and engineering standards • Establish data modeling, partitioning, clustering, governance, lineage, metadata, security, and data quality standards • Lead Terraform infrastructure automation, CI/CD, testing, deployment, and environment standards • Optimize BigQuery, Dataflow, Spark, storage, streaming workloads, performance, SLAs, and cloud costs • Lead, mentor, and technically guide Data Engineers, Senior Data Engineers, and Technical Leads • Track engineering progress, risks, dependencies, and delivery milestones • Act as primary technical point of contact for US-based stakeholders • Collaborate with Business, Product, Data Science, BI, DevOps, governance, and security teams • Translate business requirements into scalable technical solutions and communicate architecture decisions, risks, timelines, and trade-offs

🎯 Requirements

• 15+ years of experience in Data Engineering, Data Architecture, or Cloud Engineering • 5+ years of hands-on GCP Data Engineering experience • Strong hands-on AWS Data Engineering and Architecture experience • Proven experience working on AWS-to-GCP migration projects • Strong experience designing enterprise Data Lake/Lakehouse platforms • Strong knowledge of AWS and GCP service mapping and cloud migration patterns • Expert-level SQL and strong Python/PySpark skills • Strong data modeling and data warehousing experience • Experience with Terraform and CI/CD • Experience managing and mentoring data engineering teams • Strong communication skills and experience working with US-based stakeholders • Ability to assess AWS workloads, define GCP target architecture, and lead migration through production implementation • Expertise in Data Lakehouse, Data Warehouse, Streaming, Data Modeling, and modern data engineering patterns • Understanding of data quality, lineage, metadata, IAM, encryption, access control, and enterprise governance • Required AWS skills: Amazon S3, AWS Glue, AWS Glue Data Quality, Amazon Redshift/Redshift Serverless, Amazon Athena, AWS Step Functions, AWS DMS, AWS Lake Formation, and IAM • Required GCP skills: BigQuery, Google Cloud Storage, Pub/Sub, Dataflow/Apache Beam, Cloud Composer/Airflow, Dataproc/Spark, Cloud Monitoring, Cloud Logging, and Dataplex/Data Catalog • Knowledge of Python, SQL, PySpark/Apache Spark, ETL/ELT, CDC, batch and streaming processing, event-driven architecture, and data pipeline optimization • Knowledge of Enterprise Data Lake/Lakehouse, Medallion Architecture, dimensional and multi-tenant data modeling, schema-on-read/schema-on-write, data lineage, metadata management, data governance, dbt, Apache Airflow, Terraform, Git/GitHub, Cloud Build, CI/CD, and data quality frameworks • OpenLineage is a plus

🏖️ Benefits

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