Job Overview

We are seeking a highly skilled Senior Data Architect to join our dynamic team at The Techgalore. This remote, part-time, contract position, based in Delhi, offers an opportunity to design and implement robust data architecture strategies. You will leverage your expertise to ensure the integrity, availability, and applicability of data solutions across various projects.

Qualifications and Skills

• Profound knowledge and experience in Python (Mandatory skill) for data manipulation and processing tasks.
• Proficiency in SQL (Mandatory skill) to manage and query complex databases efficiently.
• Hands-on experience with Azure (Mandatory skill) to design and deploy cloud-based data solutions.
• Experience with Salesforce for managing and integrating customer data across systems efficiently.
• NEED 10+ Years of experience
• work time: Hourly basis 5 to 6 hours a day
• Expertise in Databricks for building and optimizing data pipelines and workflows.
• A strong understanding of data modeling concepts to create comprehensive data architectures suitable for business needs.
• Experience in implementing data security and privacy regulations to ensure compliance with relevant data protection laws.
• Excellent analytical and problem-solving skills, with the ability to analyze complex datasets and draw meaningful insights.

Roles and Responsibilities

• Design and implement scalable, reliable, and secure data architecture solutions to enhance business operations.
• Collaborate with stakeholders to understand data needs and provide architectural solutions that drive business value.
• Optimize and manage existing data architecture to improve performance and reduce operational costs.
• Develop strategic and effective data models, contributing to robust business intelligence tools.
• Ensure the integrity and accessibility of data by establishing robust security protocols.
• Work closely with the development team to integrate new data processes and tools seamlessly.
• Monitor and maintain Analytics frameworks, ensuring accurate and effective data flow across the organization.
• Provide expert guidance on leveraging data technologies for organizational growth and improved efficiency.