Technical Lead: Data Integration Platform on GCP

Synechron; Sheffield; On-site; GBP 90,000 - 120,000; Full time

Job summary

Synechron is seeking a hands-on Technical Lead to shape and scale a multi-tenant data integration platform on Google Cloud Platform. You will lead the design and delivery of reliable Airflow pipelines, improve CI/CD and platform automation, and establish end-to-end data lineage from source systems to vendors.

This role requires strong leadership, excellent communication, and hands-on expertise in Python and cloud data services to mentor engineers and collaborate with product, governance, and

Qualifications

• Proven experience as Technical Lead, Lead Engineer, or Senior Data Engineer.
• Strong production experience with Airflow, Python, and ETL/ELT pipelines.
• Hands-on GCP experience with BigQuery, Cloud Storage, Pub/Sub, Dataflow, GKE, or Cloud Run.
• Experience with CI/CD and Infrastructure as Code (Terraform).
• Knowledge of multi-tenant platforms, data quality, observability, or lineage.

Responsibilities

• Lead platform architecture, technical roadmap, and engineering delivery.
• Design and develop scalable Airflow pipelines using Python.
• Improve reliability through retries, idempotency, reconciliation, and resilient failure handling.
• Evolve multi-tenant architecture, configuration, and metadata-driven processing.
• Strengthen CI/CD, automated testing, security checks, and deployment processes.
• Implement observability, monitoring, alerting, and data lineage.
• Mentor engineers and collaborate with product, architecture, governance, and vendor teams.

Skills

Technical leadership

Python

Airflow

ETL/ELT

CI/CD

GCP

Terraform

Data governance

Tools

Apache Airflow

Terraform

BigQuery

Cloud Storage

Pub/Sub

Dataflow

GKE

Cloud Run

Job description

Synechron is seeking a hands-on Technical Lead to shape and scale a multi-tenant data integration platform on Google Cloud Platform. You will lead the design and delivery of reliable Airflow pipelines, improve CI/CD and platform automation, and establish end-to-end data lineage from source systems to vendors.

This role requires strong leadership, excellent communication, and hands-on expertise in Python and cloud data services to mentor engineers and collaborate with product, governance, and