
Technical Lead- Google Cloud
1 day ago
Tech Lead (Airflow to Composer Migration)
Location:
Remote
Job Type:
Full-Time
Experience Level:
Atleast 10+ Years total experience
Joining:
Immediate/ 1 week
About Tech T7 Innovations:
Tech T7 Innovations is a dynamic and innovative tech company that is committed to creating cutting-edge software solutions. We're looking for a talented and experienced Android Developer to join our team and help us deliver high-quality, user-friendly, and innovative Android applications to our clients and users.
Role Description
We are looking for an experienced
Tech Lead
to drive the migration of our existing
Apache Airflow workflows
to
Google Cloud Composer . The ideal candidate will bring strong expertise in workflow orchestration, cloud-native architectures, and migration strategy, while leading a team of engineers to ensure smooth delivery with minimal disruption to business operations.
Key Responsibilities
Lead the
end-to-end migration strategy
from on-prem/self-managed Airflow to Google Cloud Composer.
Assess existing
Airflow DAGs, operators, plugins, and dependencies , and define a scalable migration roadmap.
Collaborate with architects, DevOps, and data engineering teams to ensure
best practices for cloud orchestration .
Optimize DAGs for
performance, cost, and reliability
in Composer.
Implement
CI/CD pipelines
for DAG deployment, testing, and versioning.
Define
governance, monitoring, and alerting
standards for Composer environments.
Mentor and guide a team of engineers; perform
code reviews and technical oversight .
Ensure
data security, compliance, and reliability
during and after migration.
Identify risks, propose mitigation plans, and handle stakeholder communications effectively.
Required Skills & Experience
10+ years in software/data engineering with at least 3+ years of
Airflow orchestration
experience.
Strong hands-on knowledge of
Apache Airflow internals (schedulers, executors, operators, hooks, sensors, plugins) .
Proven expertise in
Google Cloud Composer (GCP managed Airflow)
setup, scaling, and optimization.
Proficiency in
Python
(for DAGs, operators, hooks) and
SQL .
Solid understanding of
cloud-native services in GCP
(BigQuery, GCS, Pub/Sub, Cloud Functions, IAM, Monitoring).
Experience with
migration projects , including dependency analysis, refactoring DAGs, and resolving environment differences.
Strong background in
CI/CD, GitOps, Docker, Kubernetes , and Infrastructure-as-Code (Terraform/Cloud Deployment Manager).
Excellent leadership, communication, and stakeholder management skills.
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