Data Architect – Data Science and Azure Cloud
Ahmedabad, India
Arrow Electronics
Role: Data Architect – Data Science and Azure Cloud
Years of Experience: 10+ Years
Location: Ahmedabad
What You Will Be Doing:
Collaborate with stakeholders to translate business requirements into scalable data architecture solutions.
Design data systems that support machine learning, advanced data science, and generative AI models.
Build and maintain data pipelines, integration flows, and storage solutions for efficient data handling.
Define and uphold data governance standards ensuring data quality, compliance, and security.
Mentor junior data scientists, data engineers, and developers on building end-to-end data solutions.
Provide architectural guidance and best practices across technical teams.
Stay updated with trends in Azure Cloud, Data Science, and Generative AI to introduce relevant technologies.
Perform data profiling, detect quality issues, and recommend solutions for better data reliability.
Work with IT to optimize Azure cloud environments for data storage, retrieval, and processing.
What Are We Looking For:
Bachelor's or Master's in Computer Science, Data Science, or a related field.
Deep expertise in data modeling, statistical analysis, and machine learning.
Hands-on experience with Azure Data Factory, Azure Databricks, Azure OpenAI, and Azure ML.
Knowledge of generative AI (GANs, VAEs) is a strong plus.
Proven track record of designing scalable, enterprise-grade data architectures.
Strong grasp of data governance, management, and security principles.
Proficiency in Python, R, or Scala for data manipulation and analysis.
Familiarity with modern storage solutions – data lakes, warehouses, and relational DBs.
Strong analytical thinking and problem-solving skills.
Excellent communication and cross-team collaboration skills.
Certifications in Azure, Data Science, ML, or Generative AI are highly preferred.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Computer Science Databricks Data governance Data pipelines Data quality Engineering GANs Generative AI Machine Learning OpenAI Pipelines Python R Scala Security Statistics
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