Job Description: Solution Architect - Google Cloud Data Engineering
We are seeking a highly experienced and motivated Senior GCP Solution Architect specializing in Google platform in our dynamic team. The ideal candidate will lead the design, development, and implementation of Google cloud-based data solutions, ensuring they meet the highest standards of performance, security, and scalability. You will work closely with various stakeholders, including data engineers, data scientists, and business analysts, to deliver innovative data solutions that drive business value.
Key Responsibilities :-
Minimum of 14+ years of experience in data engineering, with at least 4 years in a solution architect role focusing on Google cloud data solutions.
• Lead the architectural design and implementation of end-to-end Google cloud data solutions, data warehouses, and data pipelines.
• Delivered atleast 2 Multi-Terabyte GCP Data projects
• Should have GCP Data Engineering Certification
• Should have good Knowledge DWH Migration to GCP BigQuery platform
• Develop and maintain the cloud data strategy, ensuring alignment with overall business objectives and technology roadmap.
• Provide technical leadership and guidance to data engineering teams, ensuring best practices and standards are followed.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Evaluate and recommend new Google service offerings to customer as per best fit
• Ensure the performance, scalability, and reliability of data solutions through continuous monitoring and optimization.
• Ensure data solutions comply with security and privacy regulations and best practices.
• Develop and maintain comprehensive architectural documentation.
• Excellent communication and presentation skills.
• Strong problem-solving and analytical skills.
• Ability to work collaboratively in a fast paced environment.
• Proven ability to lead and mentor technical teams.
Technical Skills:
Proficiency in Google cloud platforms (GCP) with certifications preferred.
Strong experience with bigdata technologies like Google BigQuery, Data Transfer service, Pub/Sub, DataFusion, DataProc, DataFlow & Kafka.
Expertise in data modeling and building Data pipeline in BigQuery
Proficiency in programming languages (e.g. Python, SQL).
Experience with CI/CD pipelines and DevOps .
Location: Anywhere
Posted: Oct. 10, 2024, 7:34 p.m.
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