[Hiring] GCP AI/ML & GenAI - Head of Engineering @Naveera Technology LLC

Role Description

We are looking for an experienced Engineering Manager with strong hands-on expertise in AWS and GCP Data Engineering to lead a large-scale AWS-to-GCP data platform migration. The ideal candidate will have strong experience designing enterprise data platforms on AWS and migrating them to Google Cloud Platform (GCP). The role requires a combination of technical architecture, hands-on engineering, migration leadership, team management, and stakeholder management.

The candidate should have strong hands-on experience with AWS services such as S3, Glue, Redshift, Athena, Step Functions, and AWS DMS, along with strong GCP expertise across BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Cloud Composer.

The Engineering Manager will work closely with US-based stakeholders, architects, engineers, DevOps teams, Data Science, and BI teams to define the migration strategy and ensure successful execution.

Qualifications

• 15+ years of experience in GCP Data Engineering, Data Architecture, Cloud Engineering, AI/ML Engineering, or related technology leadership roles.
• 5+ years of strong hands-on GCP Data Engineering Experience.
• 3+ years of strong hands-on AI/ML & Gen AI Experience.
• Proven experience delivering AWS-to-GCP migration projects.
• Strong experience designing enterprise Data Lake and Lakehouse platforms on GCP.
• Strong hands-on experience with BigQuery, Google Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, Dataproc, IAM, and Terraform.
• Experience migrating AWS data workloads, pipelines, and platforms to GCP.
• Strong knowledge of AWS and GCP service mapping, migration patterns, modernization strategies, and cloud architecture best practices.
• Experience designing, building, and deploying AI/ML solutions on GCP using Vertex AI.
• Hands-on experience with Generative AI, LLM-based applications, RAG architectures, embeddings, vector search, prompt engineering, and enterprise AI assistants.
• Strong understanding of MLOps, including model training, model registry, CI/CD/CT, model deployment, monitoring, retraining, governance, and rollback strategies.
• Experience implementing secure and responsible AI solutions, including data privacy, model evaluation, access controls, auditability, and governance.
• Expert-level SQL and strong Python and PySpark skills.
• Strong data modeling, data warehousing, batch processing, and real-time data engineering experience.
• Experience with Terraform, Git, GitHub, Cloud Build, CI/CD pipelines, and infrastructure automation.
• Experience managing and mentoring data engineering and cross-functional technical teams.
• Strong communication skills with experience working with US-based stakeholders.

Requirements

• AI/ML & GenAI Technology Skills
• Cloud Platforms: GCP, AWS, BigQuery, GCS, AWS S3, Pub/Sub, AWS Kinesis
• Data Engineering: Advanced Python, Expert SQL, PySpark, Apache Spark, ETL, ELT, CDC
• Data Processing: Batch & Streaming, Event-Driven Architecture, Data Pipeline Development & Optimization
• Data Platforms: Enterprise Data Lake/Lakehouse, Medallion Architecture, Data Warehousing, Data Modeling
• Data Modeling: Dimensional Modeling, Multi-Tenant Modeling, Schema-on-Read/Schema-on-Write
• Modern Data Stack: dbt, Apache Airflow/Cloud Composer, Dataproc, Dataflow/Apache Beam
• AWS Data Services: AWS Glue, Redshift, EMR, Lambda, Kinesis, Athena, CloudWatch
• GCP Data Services: BigQuery, GCS, Pub/Sub, Dataflow, Dataproc, Dataplex, Data Catalog
• DevOps & Infrastructure: Terraform, Git/GitHub, Cloud Build, CI/CD, Infrastructure as Code
• Data Governance & Quality: Data Lineage, Metadata Management, Data Quality, Monitoring, OpenLineage

Benefits

• Lead AWS-to-GCP cloud transformation & AIML GenAI initiatives.
• Work on Data Lakehouse and analytics modernization.
• Flexible remote work.
• Exposure to global customers.
• Collaborative, innovation-driven culture.
• Continuous learning and certification.
• Lead transformative AI/ML & GCP innovations as Head of Engineering at Naveera Tech.
• Join a global team to revolutionize data into business value.
• Remote role, USA-based.
• Apply today!