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About the role
Serve as the Lead Cloud Engineer to define and implement data platform architectures on Google Cloud Platform. Collaborate with client teams through hands-on development, pair programming, and technical leadership.
What they look for
Requirements
Requires extensive experience in designing cloud-native data platforms and proficiency in Python or Java. Candidates should possess deep knowledge of public cloud ecosystems and relevant professional certifications.
Full description
Role & Responsibilities
- Serve as the Lead Cloud Engineer for customer engagements.
- Collaborate closely with the Lead Data Consultant throughout project delivery.
- Define solution architecture and detailed designs for data platforms on Google Cloud Platform (GCP).
- Build and deliver solutions, including hands-on development and coding based on approved designs.
- Engage directly with the client's Data Engineering team, providing consulting, guidance, and technical leadership on both solution architecture and implementation.
- Perform pair programming with client Data Engineers and facilitate knowledge transfer of the developed solution to the client team.
Minimum Qualifications
Solution Architecture Knowledge & Expertise
- Experience designing data platform architectures for:• Migration of open-source or public cloud data platforms to the cloud, preferably Google Cloud Platform (GCP).
- Greenfield cloud-native data platform implementations.
- Ability to research tools and technologies, identify key evaluation criteria, and provide technology selection recommendations.
- Experience defining solution architectures and detailed designs for:• Batch ingestion and processing from sources such as files, cloud databases, and on-premises databases.
- Streaming solutions for real-time ingestion and processing, including log analytics, clickstream analytics, and other real-time data sources.
- Experience building data pipelines and CI/CD pipelines.
- Deep knowledge of at least one public cloud platform, preferably GCP.
Tools & Technologies
- Google Cloud Platform (preferred); equivalent experience in other public cloud platforms is acceptable.
- Hands-on experience with:• Dataflow
- Pub/Sub
- Cloud Composer
- BigQuery
- Cloud Run
- Cloud Functions
- Spanner
- Cloud Build
- Vertex AI
- Terraform
Coding Expertise
- Strong programming skills and willingness to work hands-on as part of daily responsibilities.
- Proficiency in at least one of the following programming languages, preferably both:• Python
- Java
Preferred Qualifications
Solution Architecture
- Experience with open-source ecosystems and distributions such as:• Hadoop
- Spark
- Cloudera
- Hortonworks
- Understanding of and experience with NoSQL databases, including:• HBase
- MongoDB
Tools & Technologies
- Experience with additional public cloud platforms.
- Experience with open-source frameworks and ecosystems, including:• Hadoop
- Spark
- Oozie
- Kafka
- HBase
Certifications
At least one of the following certifications:
- Google Cloud Professional Data Engineer (preferred).
- AWS Certification.
