
Chief Data Architect
16 hours ago
As a key member of our team, we are seeking an experienced Data Strategist to lead the development and implementation of our data engineering solutions.
- The ideal candidate will have a strong background in designing and implementing data warehousing solutions using cloud services such as Google Cloud Platform (GCP) including Big Query, Bigtable, Cloud SQL, Dataproc, Data Flow, and Data Fusion.
- They will also have hands-on experience with software development in languages such as Java and Python.
Responsibilities:
- Maintain architecture principles, guidelines, and standards for data engineering.
- Design and implement data warehousing solutions that meet business requirements.
- Develop software code to support data engineering initiatives.
- Collaborate with junior data engineers to coach and provide guidance on overall data ecosystem.
Requirements:
- 9+ years of experience in data engineering with 5 years of relevant experience.
- Strong understanding of big data, data analytics, and cloud computing.
- Hands-on experience with GCP services, including Big Query, Bigtable, Cloud SQL, Dataproc, Data Flow, and Data Fusion.
- Excellent communication, presentation, and problem-solving skills.
Preferred Qualifications:
- Experience working on solution decks, IP builds, and client meetings for requirement gathering.
- Prior experience developing, building, and deploying on GCP.
- Good knowledge of MPP systems, database systems, ETL and ELT systems, and data flow compute.
About the Role:
This is an excellent opportunity for an experienced data strategist to take their career to the next level. Our team is passionate about delivering high-quality data engineering solutions and working with cutting-edge technologies.
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