We are seeking a Manager of GCP Data Engineering to lead a team of software and data engineers in designing, developing, and optimizing scalable data applications, APIs, and backend services. This is a hands-on leadership role, requiring deep expertise in Google Cloud Platform (GCP) as the organization migrates its data and applications exclusively to GCP.

The ideal candidate will combine technical excellence with strong leadership skills, guiding teams in building high-performance data solutions that support big data analytics, real-time insights, and machine learning at scale.
Must Haves: 

  • 8+ years of experience in software or data engineering, with at least 2 years of experience managing engineering teams.
  • Expertise in GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Functions, IAM, and Kubernetes).
  • Strong programming skills in Python, SQL, and JavaScript (additional languages are a plus).
  • Experience with distributed computing, data processing frameworks (Apache Beam, Spark, etc.), and workflow orchestration (Cloud Composer, Airflow).
  • Proven ability to lead, mentor, and develop high-performing engineering teams.
  • Experience managing complex cloud migrations and data modernization efforts.
  • Strong problem-solving skills and ability to architect scalable, cloud-native solutions.

Nice to Haves: 

  • Experience with LLMs, AI/ML model deployment, and advanced analytics in a cloud environment.
  • Familiarity with CI/CD pipelines, Terraform, and Infrastructure-as-Code (IaC).
  • Knowledge of event-driven architectures and real-time data streaming solutions.
  • Strong stakeholder management skills, with experience driving data strategy across multiple teams.

Key Responsibilities:

  • Lead and mentor a team of software and data engineers, providing technical guidance and career development support.
  • Define and execute data engineering strategies using Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
  • Architect and oversee the development of scalable data pipelines, LLM-powered solutions, APIs, and cloud-based applications.
  • Ensure best practices in software development, data governance, security, and infrastructure scalability.
  • Collaborate with cross-functional teams, including data scientists, architects, and business stakeholders, to drive data-driven decision-making.
  • Establish and enforce engineering standards, code reviews, and agile development processes.
  • Manage team performance, resource allocation, and project execution, ensuring alignment with business objectives.
Apply Back to Results

Apply Now

Please ensure all fields have been filled.

Your Information

Share your resume*

Please note only files with .pdf, .docx or .doc file extensions are accepted.

Max file size: 512KB.

Please attach your resume, ensure it is in the correct format and smaller than 512KB.

×