Data Architect

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 700 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.

Role: Data Architect

Location: Jersey City, NJ

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.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.