Associate Principal - Data Engineering

Job Title Senior Database Azure Data Engineer LLMAgentic Focus Key Responsibilities Design, develop and maintain scalable high‑performance database solutions. Lead initiatives in data modeling, database design and performance tuning. Develop and optimize complex SQL, T‑SQL queries, stored procedures, functions, and triggers. Implement and manage RBAC and ensure database security compliance. Analyze and improve database internals, indexing strategies and execution plans. Build and manage end‑to‑end data pipelines using Azure Data Factory. Design and implement modern data architectures including data warehouses and data lakes using Azure Synapse and Microsoft Fabric. Collaborate with cross‑functional teams to deliver scalable data engineering and analytics solutions. Develop and maintain Python‑based data services, APIs, and microservices. Work with frameworks such as DBT, FastAPI or Django for data transformation and service exposure. Integrate data platforms with LLM‑based systems and agentic workflows for intelligent automation. Contribute to the design and implementation of agentic AI solutions, including orchestration tool usage and API interaction patterns. Required Qualifications 10+ years of experience as a Database Engineer / Data Engineer. Strong expertise in data modeling, database design, performance tuning and optimization. Advanced SQL and T‑SQL, including complex stored procedures, user‑defined functions (UDFs), and triggers. Deep knowledge of database internals, indexing and execution plans, security models and RBAC. 5+ years of experience with Azure data platforms, including Azure Data Factory (ADF), Azure Synapse, Microsoft Fabric, data lake and data warehouse implementations. Good understanding of Azure ecosystem, services, networking fundamentals (VNets, private endpoints, etc.). Hands‑on experience in Python, API integrations, data processing, and microservices architecture. Familiarity with DBT, workflow orchestration tools, FastAPI or Django. Experience with LLM‑based interfaces, AI‑powered automation workflows, Claude or similar agentic coding frameworks. Understanding of prompt engineering and tool orchestration; API‑based LLM integrations; autonomous or semi‑autonomous workflow design. Preferred Qualifications Experience implementing AI‑driven data solutions. Exposure to MLOps or AI lifecycle management. Familiarity with distributed systems and event‑driven architectures. Strong problem‑solving and analytical skills. Soft Skills Excellent communication and stakeholder management skills. Ability to work in a fast‑paced collaborative environment. Strong attention to detail and performance‑optimization mindset. Variable Compensation This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance, and internal equity. Benefits 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. Equal Opportunity Employer Statement LTIMindtree is an equal‑opportunity employer 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, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectionate 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. #J-18808-Ljbffr LTM