qode.world

Technical Manager

qode.world

full-time

Posted on:

Location Type: Hybrid

Location: Texas • Texas • United States

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Job Level

SeniorLead

Tech Stack

AirflowApacheBigQueryCloudETLGoogle Cloud PlatformKubernetesPythonShell ScriptingSparkSQLTensorflowTerraform

About the role

  • Design, develop, and optimize data warehouses, ensuring high performance and cost efficiency.
  • Lead cross-functional programs focused on cloud modernization, legacy migration, and data transformation initiatives on GCP.
  • Drive execution across multiple technical teams including data engineering, application development, cloud ops, and architecture.
  • Translate business goals into structured technical programs with clear milestones, success metrics, and risk mitigation strategies.
  • Serve as the technical voice in executive updates, steering committees, and cross-org syncs.
  • Work closely with engineering teams to design scalable and secure cloud-native solutions.
  • Implement program governance, best practices, and agile delivery methods across initiatives.
  • Collaborate with client stakeholders to ensure successful deployment and adoption of modernization solutions.

Requirements

  • 13+ years of experience working as a GCP Data Engineer or similar role.
  • Strong expertise in Google BigQuery – performance tuning, partitioning, clustering, and cost optimization.
  • Hands-on experience with ETL tools and frameworks, including Cloud Dataflow (Apache Beam), Cloud Dataproc (Spark), and Cloud Composer (Airflow).
  • Proficiency in SQL, Python, and Shell scripting for data transformation and automation.
  • Experience with Google Cloud Storage, Pub/Sub, and Cloud Functions.
  • Strong understanding of GCP IAM, security best practices, and data governance.
  • Familiarity with Terraform, Cloud Build, and CI/CD for infrastructure automation.
  • Ability to work with large-scale datasets and real-time streaming data processing.
  • Experience in data modeling, schema design, and optimization techniques.
  • Strong analytical and problem-solving skills.
  • GCP Professional Data Engineer Certification is a plus.
  • Experience with Machine Learning workflows on GCP (Vertex AI, AutoML, TensorFlow on AI Platform) is a plus.
  • Experience with Kubernetes (GKE) and containerized deployments is a plus.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data warehousingGoogle BigQueryETL toolsCloud DataflowCloud DataprocCloud ComposerSQLPythonShell scriptingdata modeling
Soft Skills
leadershipcommunicationanalytical skillsproblem-solvingcollaboration
Certifications
GCP Professional Data Engineer Certification