Data Integration Architect

As a Data and Integration Architect for RIL's Distributed Renewables (RE) business, your role is pivotal in designing and implementing robust data and integration architectures to support the company's strategic goals. Your contribution will play a crucial role in providing safe, reliable, and affordable green energy solutions to enhance the quality of life for India's population. The focus on digital transformation will be essential for scaling up the business through agility, customer experience, and data-driven decision-making. Key Responsibilities: - Develop and maintain an enterprise data architecture strategy aligned with business objectives and technology roadmap. - Design and implement integration solutions to connect disparate systems internally and externally, ensuring data consistency and accessibility. - Establish data governance policies, ensuring data integrity, quality, security, and compliance with regulations. - Evaluate and recommend technologies for data integration, management, and analytics to meet organizational needs. - Collaborate with IT teams, business analysts, and partners to translate data and integration requirements into architectural solutions. - Ensure data and integration architecture supports high performance, scalability, and future growth. - Advocate for and implement industry best practices and standards in data management, integration, and architecture design. - Identify and address data and integration bottlenecks, perform system audits, and optimizations to improve efficiency. - Develop documentation for data and integration architectures, provide training and mentorship to IT staff and stakeholders. Qualifications: - Bachelors or Masters degree in Computer Science, Information Technology, Data Science, or related field. - Minimum of 7 years of experience in data architecture, integration, or related field with a track record of designing and implementing large-scale solutions. - Expertise in data modeling, data warehousing, ETL processes, and integration patterns. - Experience with cloud-based data and integration platforms (e.g., AWS, Azure, Google Cloud Platform) and understanding of SaaS, PaaS, and IaaS models. - Strong knowledge of data governance, data quality management, and compliance regulations. - Proficiency in SQL, NoSQL databases, data integration tools, and data visualization tools. - Excellent analytical, problem-solving, project management, communication, and interpersonal skills.,