• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 30th Apr 2025

• Design and implement scalable data architectures, including conceptual, logical, and physical models, to meet business objectives and support data-driven decision-making across the organization.
• Lead the development and optimization of data pipelines and data warehousing solutions, ensuring data accuracy, consistency, and accessibility for reporting and business intelligence.
• Collaborate with business and IT teams to translate business needs into comprehensive data solutions, aligning them with strategic goals while maintaining high data quality, integrity, and security.
• Establish and enforce data governance practices to ensure compliance with regulatory standards and industry best practices, while fostering a culture of data stewardship and responsibility.
• Stay informed about emerging data technologies, tools, and trends, recommending and implementing innovative solutions to enhance organizational data capabilities and business insights.
• Mentor and guide cross-functional teams in the design and implementation of data solutions, including data platforms, ensuring they provide actionable and valuable insights for business users.
• Continuously review and optimize existing data systems, identifying opportunities for improvement in efficiency, performance, and user satisfaction, while mitigating potential risks and ensuring project success.
• Communicate data strategies and complex technical concepts effectively to both technical and non-technical stakeholders, ensuring alignment with business needs and fostering strong collaboration across teams.
• Promote a data-driven culture by educating stakeholders on best practices for data management, reporting tools, and leveraging data insights to support strategic business decisions.
• Ensure all data solutions adhere to enterprise architecture frameworks, promoting consistency, scalability, and ongoing development while supporting the growth and development of data teams.