Azure 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 Job Title : Azure Architect Location : Houston, TX We are seeking a highly skilled Solution Architect with deep expertise in Operational Technology OT Edge Gateway architectures LoRaWAN Azure OT PaaS services and sensordriven time series data This role will be pivotal in designing and implementing scalable secure and intelligent edgetocloud solutions that bridge industrial systems with modern cloud platforms Key Responsibilities Architect and deliver endtoend OT solutions integrating edge gateways sensors and cloud platforms Design and implement LoRaWANbased sensor networks for industrial telemetry and control Lead the development of Azurebased OT PaaS solutions including IoT Hub Time Series Insights Digital Twins and Data Explorer Define data models and ingestion pipelines for time series data from diverse sensor ecosystems Collaborate with crossfunctional teams to ensure seamless integration between OT systems and enterprise ITcloud environments Establish security and compliance frameworks for edge and OT deployments Provide technical leadership in client engagements workshops and solution reviews Required Skills Experience Proven experience in OT systems architecture and industrial automation Handson expertise with Edge Gateways eg Azure IoT Edge Cisco Siemens Strong understanding of LoRaWAN protocols and deployment strategies Deep knowledge of Azure OT services including IoT Hub Time Series Insights and Digital Twins Experience with time series databases and sensor data analytics Familiarity with industrial protocols Modbus OPC UA MQTT Excellent communication and stakeholder management skills Experience with containerization and orchestration tools eg Docker Kubernetes Experience with machine learning and advanced analytics Experience with CICD pipelines and automated testing frameworks Experience with data integration data warehousing and big data technologies Experience with IoT solutions and edge computing Preferred Qualifications Bachelors or Masters degree in Engineering Computer Science or related field Knowledge of enterprise architecture frameworks Azure certifications eg Azure IoT Developer Azure Solutions Architect Experience in manufacturing energy utilities or smart infrastructure domains Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. 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.