What are the responsibilities and job description for the Data Architect (Energy or Utilities Domain Must) position at Jobs via Dice?
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Position: Data Architect (Energy or Utilities Domain Must)
Location: Onsite - New York/New Jersey / Dallas, TX. Need local for any of this location.
Duration: Long Term
Visa: H1B, GC-EAD, USC
Experience: 15 years must
Job Description:
Design and implement end-to-end cloud-based data architectures (data lakes, data warehouses, real-time data platforms).
Define data strategy, architecture standards, and best practices for data integration, storage, and processing.
Collaborate with stakeholders to understand business needs and translate them into scalable data solutions.
Lead the selection and implementation of cloud services on Google Cloud Platform and data tools.
Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, HIPAA).
Guide and mentor data engineers and developers on architectural decisions and implementation.
Evaluate and recommend new technologies and tools to improve data architecture and performance.
Know anyone who might be interested?
Kindly let me know if you have any Suitable Candidates available for this opportunity.
1
Position: Data Architect (Energy or Utilities Domain Must)
Location: Onsite - New York/New Jersey / Dallas, TX. Need local for any of this location.
Duration: Long Term
Visa: H1B, GC-EAD, USC
Experience: 15 years must
Job Description:
Design and implement end-to-end cloud-based data architectures (data lakes, data warehouses, real-time data platforms).
Define data strategy, architecture standards, and best practices for data integration, storage, and processing.
Collaborate with stakeholders to understand business needs and translate them into scalable data solutions.
Lead the selection and implementation of cloud services on Google Cloud Platform and data tools.
Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, HIPAA).
Guide and mentor data engineers and developers on architectural decisions and implementation.
Evaluate and recommend new technologies and tools to improve data architecture and performance.
Know anyone who might be interested?
Kindly let me know if you have any Suitable Candidates available for this opportunity.
1
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