
Senior Cloud Data Engineer
2 weeks ago
Seeking an experienced Data Architect to lead data modernization efforts for a prestigious client in a highly strategic project.
Design and implement scalable data solutions on Google Cloud Platform (GCP), defining data strategy, standards, and best practices for cloud data engineering and analytics. Develop data ingestion pipelines using Dataflow, Pub/Sub, Apache Beam, Cloud Composer (Airflow), and BigQuery. Migrate on-prem or legacy systems to GCP, architecting data lakes, warehouses, and real-time data platforms while ensuring data governance, security, lineage, and compliance.
Guide a team of data engineers and collaborate with business stakeholders, data scientists, and product managers. Create documentation, high-level design (HLD) and low-level design (LLD), and oversee development standards. Provide technical leadership in architectural decisions and future-proofing the data ecosystem.
Required Skills & Qualifications:- 10+ years of experience in data architecture, data engineering, or enterprise data platforms
- Minimum 3-5 years of hands-on experience in GCP Data Service
- Proficient in: BigQuery, Cloud Storage, Dataflow, Pub/Sub, Composer, Cloud SQL/Spanner
- Python / Java / SQL
- Data modeling (OLTP, OLAP, Star/Snowflake schema)
- Experience with real-time data processing, streaming architectures, and batch ETL pipelines
- Good understanding of IAM, networking, security models, and cost optimization on GCP
- Opportunity to work on large-scale data modernization projects with global clients
- A fast-growing company with a strong tech and people culture
- Competitive salary, benefits, and flexibility
- Collaborative environment that values innovation and leadership
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