Senior GCP Data Engineer
Skills
About the role
Job Description: We are seeking a Senior Data Engineer (Lead) to drive and own end-to-end data engineering initiatives. This role will lead all data engineering efforts, working closely with Data Science and Analytics teams to design scalable data platforms, enable advanced analytics, and support machine learning use cases.
The ideal candidate will bring deep expertise in cloud data engineering (GCP) , strong data modeling capabilities , and proven experience in leading enterprise-grade data solutions.
Responsibilities: Lead and manage end-to-end Data Engineering delivery across projects and initiatives
Act as the primary technical owner for data pipelines, architecture, and platform design
Mentor and guide a team of data engineers, ensuring best practices and coding standards
Design, build, and optimize scalable data pipelines on GCP
Define and implement modern data architectures (data lake, lakehouse, warehouse)
Ensure high performance, reliability, and data quality across pipelines
Partner closely with Data Science teams to enable ML/AI workflows
Translate business and modeling requirements into optimized data structures
Support feature engineering, model training, and deployment pipelines
Design logical and physical data models for analytics and ML use cases
Implement dimensional modeling (Star/Snowflake schemas) and data vault where applicable
Optimize datasets for performance, scalability, and usability
Build and manage solutions using GCP services such as: BigQuery, Cloud Composer (Airflow), Cloud Storage, Dataproc
Ensure security, governance, and cost optimization on GCP
Qualifications: Required Qualification and Skills:
8+ years of experience in Data Engineering , with leadership experience
Strong expertise in GCP ecosystem and services
Proficiency in SQL, Python , and/or Scala
Hands-on experience with ETL frameworks and distributed processing
Solid experience in Dimensional modeling, Data warehousing concepts, Data structures for ML/analytics
Experience with Apache Spark and Real-time and batch processing frameworks
Experience working with cross-functional teams (Data Science, Analytics, Business)
Proven ability to lead, mentor, and drive delivery
Strong ownership mindset with leadership capabilities
Excellent problem-solving and architectural thinking
Ability to operate in a fast-paced, collaborative environment
Preferred Qualifications:
Experience in ML data pipelines / feature stores
Knowledge of data governance, lineage, and quality frameworks
Exposure to healthcare/payor domain (nice to have)
Certifications in GCP (Professional Data Engineer)
Questions about this role
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