Data Management

2 days ago

pune district, India Vrinda Global Full time

Qualifications: Bachelor’s or Master’s degree in Data Science, Information Technology, Business Administration, or a related field. Proven experience in winning and delivering accounts within the data management domain or similar industries. 20+ years of experience in data-related project delivery, including 10+ years in a leadership or delivery management role. Strong knowledge of data engineering, data warehousing, data lakes, cloud platforms (e.g., AWS, Azure, GCP), and data governance frameworks. Experience with Agile, Scrum, and/or hybrid project management methodologies. Excellent leadership, communication, and stakeholder engagement skills. Proven ability to lead cross-functional teams in a matrixed organization structure. Ability to oversee the technical aspects of data value chain o Understand data ecosystem – data strategy aligning with business goals, data governance, quality, medallion architecture, and so on o Oversee the design and implementation of modern data platforms o Manage proposals and projects involving cloud service providers (e.g., AWS, Azure, Google Cloud) o Ensure the efficient and secure integration of cloud services with existing data systems o Optimize cloud-based data storage and processing solutions for performance and cost-effectiveness -Experience with the key elements of data lifecycle while designing and recommending data solutions to clients: o Scalable Data Architectures o Integration of various data sources, ensuring that data is collected, processed, and made available in a structured manner. o Data Security and Compliance: Ensure that data systems comply with relevant security and privacy regulations, including GDPR, HIPAA, etc., and are secure from threats. o Data Pipeline Management: Design, development, and optimization of data pipelines to ensure high-quality, efficient data flow & storage. o Performance Optimization: Continuously monitor and optimize data workflows, addressing bottlenecks and improving speed. o Ensure Data Quality: Robust data validation and quality checks to ensure the accuracy, consistency, and completeness of the data o Data Governance: Establish data governance frameworks, policies, and processes to ensure proper data stewardship, security, privacy, and compliance (e.g., GDPR, HIPAA).

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