Senior Data Engineer

About the Role

Key Responsibilities

• Design, develop, and support scalable data models and ETL/ELT pipelines using GCP technologies.
• Build and optimize cloud-native data solutions leveraging BigQuery, Dataform, Cloud Composer, Cloud Run, Cloud Functions, and Cloud Storage.
• Use Terraform to manage GCP infrastructure as code, ensuring scalable, repeatable, and secure deployments.
• Lead the decommissioning of legacy systems while enhancing the current data platform.
• Contribute to machine learning and data science initiatives through integrations with Vertex AI and Cloud Notebooks.
• Establish and maintain data quality and validation rules to ensure trust in enterprise data assets.
• Document data pipelines, architecture, and Terraform modules to support team transparency and maintainability.
• Coordinate migrations and deployments across environments (Development, UAT, Staging, Production) using modern CI/CD practices.
• Collaborate cross-functionally within Agile/Scrum teams to deliver data solutions aligned with business needs.
• Provide production support and performance tuning for data systems in GCP.
• Mentor junior engineers and contribute to the professional development of consultants and interns.

Requirements

• 10-15 years of progressive experience in data engineering, analytics infrastructure, or a related field.
• Extensive experience with Google Cloud Platform, including BigQuery, Cloud Storage, Dataform, Cloud Composer, Cloud Functions, and Cloud Run.
• Proficiency in Terraform for managing infrastructure across GCP environments.
• Strong knowledge of SQL, data modeling (star/snowflake), and modern ELT pipeline development.
• Hands-on experience with tools such as dbt, Python, and other data transformation frameworks.
• Familiarity with Vertex AI, Cloud Notebooks, or similar ML platforms.
• Strong understanding of CI/CD tools and practices, ideally including Cloud Build, GitHub Actions, or Terraform Cloud.
• Experience with data visualization platforms such as Looker, Looker Studio, or similar BI tools.
• Deep understanding of data governance, metadata management, and lineage using tools like Dataplex.
• Excellent verbal and written communication skills, with the ability to explain complex technical topics to business stakeholders.
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

Nice to Have

• Certifications such as Google Cloud Professional Data Engineer, Cloud Architect, or HashiCorp Terraform Associate are preferred.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
• 10-15 years of relevant experience.

Benefits & Perks

• Work remotely while contributing to innovative, enterprise-wide initiatives.
• Be part of a diverse and fast-growing company with a collaborative team culture.
• Access strong career development, certification reimbursement, and leadership growth opportunities.
• Help transform a legacy environment into a modern, cloud-first data ecosystem.