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Data Engineering Manager – GCP Cloud
Naveera Technology LLCCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and implementing scalable enterprise data platforms on GCP, with a strong focus on data migration from AWS to GCP. Proficient in designing Data Lake and Lakehouse architectures, optimizing data pipelines, and establishing data governance standards.
Highest-signal resume keywords
GCP Data EngineeringAWS-to-GCP MigrationData Lake/Lakehouse DesignSQL and Python/PySpark ExpertiseTerraform and CI/CD Experience
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Architect and implement 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
- Lead 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 roadmaps, phases, dependencies, risks and rollback strategies
- Lead architecture reviews and technical design discussions
- Architect real-time data pipelines using Pub/Sub, Dataflow/Apache Beam, BigQuery and Cloud Storage
- Design high-volume event ingestion, enrichment and transformation pipelines
- Develop scalable batch and real-time ETL/ELT pipelines using Python, PySpark, SQL, Dataflow/Apache Beam, BigQuery and dbt
- Build orchestration workflows using Cloud Composer/Airflow
- Design enterprise data models for analytics and reporting
- Optimize BigQuery partitioning, clustering, SQL and query execution
- Establish data governance, data quality, lineage, metadata, ownership and security standards
- Implement IAM, least-privilege access, encryption, service accounts, network security and data access policies
- Lead infrastructure automation using Terraform and implement CI/CD pipelines
- Optimize performance and costs across BigQuery, Dataflow, Spark, Cloud Storage and streaming workloads
- Lead and mentor Data Engineers, Senior Data Engineers and Technical Leads
- Provide technical direction, conduct architecture and code reviews, and define roadmaps and engineering priorities
- 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 and DevOps teams
- Translate business requirements into scalable technical solutions and communicate risks, timelines and trade-offs
Requirements
What you’ll need- 15+ years of experience in Data Engineering, Data Architecture or Cloud Engineering
- 5+ years of hands-on GCP Data Engineering experience
- 3+ years of proven experience working on AWS-to-GCP migration projects
- Strong experience designing enterprise Data Lake / Lakehouse platforms
- Experience migrating AWS data workloads to GCP
- 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 with experience working with US-based stakeholders
- Strong experience with Amazon S3, AWS Glue, AWS Glue Data Quality, Amazon Redshift/Redshift Serverless, Amazon Athena, AWS Step Functions, AWS DMS, AWS Lake Formation and IAM
- Strong experience with BigQuery, Google Cloud Storage, Pub/Sub, Dataflow/Apache Beam, Cloud Composer/Airflow, Dataproc/Spark, Cloud Monitoring, Cloud Logging, Dataplex/Data Catalog
- Experience with ETL/ELT, CDC, batch and streaming data processing, event-driven architecture and data pipeline optimization
Benefits
Comp & perks- Flexible remote work environment
- Exposure to global enterprise customers
- Collaborative, innovation-driven engineering culture
- Continuous learning and certification opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData ArchitectureCloud EngineeringETL/ELT DevelopmentData ModelingData WarehousingReal-Time Data PipelinesBatch ProcessingData Pipeline OptimizationData Governance
Soft Skills
Strong Communication SkillsTeam ManagementMentoring
Tools & Technologies
Google Cloud PlatformBigQueryGoogle Cloud StoragePub/SubDataflow/Apache BeamCloud Composer/AirflowTerraformAWS ServicesCloud MonitoringCloud Logging
Industry Keywords
Data LakeLakehouseCloud MigrationData QualityEvent-Driven Architecture