Enterprise Architect (Google Cloud Platform)

Hp Tech - Jersey City, NJ

Full-time - Senior

Jersey City, NJ

Merchant Wholesalers, Durable Goods

About the position

We are looking for a highly skilled Enterprise Architect specializing in Google Cloud Platform and Apache Spark to design and implement scalable data lake solutions. The role involves architecting end-to-end data architectures, managing data ingestion pipelines, and ensuring high-performance data processing. The ideal candidate will have extensive experience in data engineering and will provide technical leadership to the data engineering team.

Responsibilities

• Architect, design, and implement scalable data lake solutions using Google Cloud Platform and Apache Spark.
• Build and optimize large-scale data pipelines using Apache Spark on Google Cloud Platform.
• Lead the integration of SAP S/4HANA data with Google Cloud Platform for real-time and batch data processing.
• Develop and manage scalable data ingestion pipelines for structured and unstructured data.
• Provide architectural guidance for designing secure and efficient data solutions on Google Cloud Platform.
• Implement real-time streaming and batch processing pipelines using Apache Spark and Dataflow.
• Implement data governance, access controls, and security best practices.
• Collaborate with business stakeholders to define data requirements and ensure alignment with business goals.
• Optimize Apache Spark jobs for performance and cost-efficiency.
• Provide technical leadership and mentorship to junior engineers.

Requirements

• 15+ years of professional experience in data engineering with a focus on large-scale enterprise projects.
• 5+ years of hands-on experience with Google Cloud Platform technologies.
• 3+ years of experience in an architect role.
• Expert-level programming proficiency in Python, Java, and Scala.
• Extensive experience with big data technologies including Spark, Hadoop, and Kafka.
• Proficient in Google Cloud Platform services such as BigQuery, Dataflow, and Cloud Storage.
• Strong knowledge of security best practices and compliance frameworks within Google Cloud Platform.

Nice-to-haves

• Google Cloud Platform Certifications such as Professional Data Engineer or Professional Cloud Architect.
• Apache Spark and Python certifications.
• Experience with data visualization tools like Tableau or Power BI.

Benefits

• Competitive salary
• Flexible working hours
• Opportunities for professional development
• Access to cutting-edge technology and tools