ABOUT US:

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.
Job Title: Data Architect

JOB DESCRIPTION:

• Design and Develop Scalable Data Architecture Solutions: Create and maintain scalable modern data architectures, to support advanced analytics, business intelligence (BI), AI/ML, and data science initiatives.
• Implement Data Mesh Architecture: Design and implement data mesh architecture to decentralize data ownership and improve data accessibility.
• Utilize Various Architecture Patterns: Apply architecture patterns such as Lambda, Kappa, and Medallion to optimize data processing and storage.
• Data Integration Patterns: Implement data integration patterns for data ingress and egress to ensure seamless data flow.
• Define Data Architecture Principles: Establish and enforce data architecture principles to guide the design and implementation of data solutions.
• Leverage Modern Tools: Utilize tools like Snowflake, Kafka, and Apache Flink to build and manage the data platform.
• Implement Data Ingestion Processes: Ensure data is accurately and efficiently ingested in both batch and Realtime modes into Data platforms
• Collaborate with Cross Functional Teams: Understand data requirements and translate them into effective data models.
• Ensure Data Security and Compliance: Adhere to industry standards and regulations.
• Provide Technical Guidance and Mentorship: Support junior data engineers and analysts.
• Stay Updated with Trends and Best Practices: Keep abreast of the latest developments in data architecture and modern data stack Technologies.
• Manage Metadata and Data Models: Oversee metadata management and data modeling activities.
  enefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Please refer the Job description for details