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GCP Data Architect AI

5.00 to 9.00 Years   Bhubaneswar   01 Apr, 2025
Viraaj HR Solutions Private Limited
Job LocationBhubaneswar
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    OverviewThe GCP Data Architect_AI plays a critical role in designing and implementing robust data solutions on Google Cloud Platform (GCP). This position involves overseeing the architecture of data systems that support artificial intelligence initiatives, ensuring scalability and performance to handle large datasets. A successful Data Architect_AI will collaborate with multiple teams to identify data needs and create data strategies that streamline analytical processes. This role is essential for driving the organizations capabilities in data-driven decision-making, enhancing operational efficiencies, and fostering innovation through AI-driven insights. As organizations increasingly lean on cloud solutions, the Data Architect_AI will ensure that the use of GCP aligns with best practices in data management, security, and regulatory compliance. The ideal candidate will possess a mix of technical, strategic, and communication skills to bridge the gap between IT and business objectives.Key Responsibilities Design and implement data architectures in GCP to support AI initiatives. Develop data models that meet the analytical requirements of various stakeholders. Oversee data ingestion and transformation processes using ETL tools. Ensure data quality and integrity by establishing governance frameworks. Collaborate with data scientists to optimize machine learning workflows. Integrate APIs to facilitate data exchange between systems. Monitor system performance and optimize data storage solutions. Lead the development of data security policies and procedures. Conduct regular audits to ensure compliance with data privacy regulations. Provide technical support and guidance to team members and stakeholders. Stay updated on emerging GCP technologies and industry trends. Document architectures, processes, and best practices for future reference. Facilitate training sessions to educate teams on GCP data tools. Work closely with DevOps teams to ensure smooth deployment of data solutions. Coordinate with business analysts to translate business requirements into technical specifications.Required Qualifications Bachelors degree in Computer Science, Data Science, or related field. 5 years of experience in data architecture or cloud-based data solutions. Expertise in Google Cloud Platform (GCP) services, particularly BigQuery. Strong understanding of data warehousing and data lakes. Proficiency in SQL and experience with data modeling tools. Experience with ETL tools and workflows, such as Apache Beam or Dataflow. Familiarity with machine learning concepts and frameworks. Knowledge of data security practices and compliance standards. Ability to work collaboratively in a fast-paced environment. Strong problem-solving and analytical skills. Excellent communication skills for technical and non-technical audiences. Certifications in GCP or data architecture preferred. Experience with Python for data processing and analysis. Understanding of containerization and orchestration, such as Kubernetes. Demonstrated ability to manage multiple projects simultaneously. Experience in agile methodologies and project management.Skills: data modeling,containerization,sql,dataflow,compliance standards,data modeling tools,kubernetes,agile methodologies,data security,machine learning,python,google cloud platform (gcp),etl tools,data security practices,bigquery,gcp,apache beam,

Keyskills :
data modelingcontainerizationsqlkubernetesagile methodologiesdata securitymachine learningpythonetl toolsgcpdataflowcompliance standardsdata modeling toolsgoogle cloud platform gcpdata security practicesbigquery

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