Culinovo
Google Cloud Platform Solution Architect (Data Platform)
Culinovo, New York, New York, us, 10261
Google Cloud Platform Solution Architect (Data Platform)
Location: Onsite New York City, NY Employment Type: W2 Only Experience Required: Minimum 12 Years in IT LinkedIn Profile: Mandatory Require Candidates on our W2 only Job Summary
We are seeking an experienced
Google Cloud Platform Solution Architect (Data Platform)
to lead the design, development, and implementation of large-scale cloud data platforms. The ideal candidate will have deep expertise in
Google Cloud Platform , strong architectural experience, and hands-on exposure to modern data engineering, analytics, AI/ML, and regulatory compliance within the utilities domain. Key Responsibilities
Lead end-to-end architecture, design, and delivery of scalable
Google Cloud Platform-based data platforms . Define
cloud migration strategies , including re-platforming and re-architecting data workloads. Architect, optimize, and implement solutions using
Vertex AI, BigQuery, Dataflow, Pub/Sub , and other Google Cloud Platform-native services. Build and support
batch and streaming data pipelines , data warehouses, and analytics frameworks. Integrate
AI/ML solutions
into data platforms to enhance intelligence and automation. Collaborate with cross-functional teams to ensure cloud architecture aligns with business and security requirements. Evaluate and compare
Azure & Databricks
capabilities to guide solution tradeoffs and ensure compatibility with Google Cloud Platform solutions. Ensure all solutions adhere to
regulatory and security standards , including
NERC CIP
and other utilities governance frameworks. Provide architectural assessments, recommendations, technical leadership, and best practices across cloud data engineering initiatives. Required Skills & Experience
12 years
of overall IT experience with extensive cloud architecture exposure. Strong hands-on experience with
Google Cloud Platform Architecture , Google Cloud Platform migrations, and data platform modernization. Proficiency with
BigQuery, Dataflow, Pub/Sub, Vertex AI , and cloud-native data analytics services. Expertise with
data engineering
concepts including batch/streaming pipelines, data warehouses, and distributed processing. Experience with
AI/ML integration
within cloud ecosystems. Working knowledge of
Azure and Databricks , with ability to analyze tradeoffs and design hybrid solutions. Familiarity with
NERC CIP , security, compliance frameworks, and governance processes for utilities. Excellent communication, leadership, and stakeholder management skills. LinkedIn profile is mandatory
for submission. Preferred Qualifications
Google Cloud Platform Professional Certifications (Cloud Architect, Data Engineer, Machine Learning Engineer). Experience in the utilities or energy domain. Strong scripting or programming knowledge (Python, SQL).
#J-18808-Ljbffr
Location: Onsite New York City, NY Employment Type: W2 Only Experience Required: Minimum 12 Years in IT LinkedIn Profile: Mandatory Require Candidates on our W2 only Job Summary
We are seeking an experienced
Google Cloud Platform Solution Architect (Data Platform)
to lead the design, development, and implementation of large-scale cloud data platforms. The ideal candidate will have deep expertise in
Google Cloud Platform , strong architectural experience, and hands-on exposure to modern data engineering, analytics, AI/ML, and regulatory compliance within the utilities domain. Key Responsibilities
Lead end-to-end architecture, design, and delivery of scalable
Google Cloud Platform-based data platforms . Define
cloud migration strategies , including re-platforming and re-architecting data workloads. Architect, optimize, and implement solutions using
Vertex AI, BigQuery, Dataflow, Pub/Sub , and other Google Cloud Platform-native services. Build and support
batch and streaming data pipelines , data warehouses, and analytics frameworks. Integrate
AI/ML solutions
into data platforms to enhance intelligence and automation. Collaborate with cross-functional teams to ensure cloud architecture aligns with business and security requirements. Evaluate and compare
Azure & Databricks
capabilities to guide solution tradeoffs and ensure compatibility with Google Cloud Platform solutions. Ensure all solutions adhere to
regulatory and security standards , including
NERC CIP
and other utilities governance frameworks. Provide architectural assessments, recommendations, technical leadership, and best practices across cloud data engineering initiatives. Required Skills & Experience
12 years
of overall IT experience with extensive cloud architecture exposure. Strong hands-on experience with
Google Cloud Platform Architecture , Google Cloud Platform migrations, and data platform modernization. Proficiency with
BigQuery, Dataflow, Pub/Sub, Vertex AI , and cloud-native data analytics services. Expertise with
data engineering
concepts including batch/streaming pipelines, data warehouses, and distributed processing. Experience with
AI/ML integration
within cloud ecosystems. Working knowledge of
Azure and Databricks , with ability to analyze tradeoffs and design hybrid solutions. Familiarity with
NERC CIP , security, compliance frameworks, and governance processes for utilities. Excellent communication, leadership, and stakeholder management skills. LinkedIn profile is mandatory
for submission. Preferred Qualifications
Google Cloud Platform Professional Certifications (Cloud Architect, Data Engineer, Machine Learning Engineer). Experience in the utilities or energy domain. Strong scripting or programming knowledge (Python, SQL).
#J-18808-Ljbffr