Associate Principal - Data Engineering

Job Title Senior Database Azure Data Engineer LLMAgentic Focus

Key Responsibilities Design develop and maintain scalable highperformance database solutions Lead initiatives in data modeling database design and performance tuning Develop and optimize complex SQL TSQL queries stored procedures functions and triggers Implement and manage RoleBased Access Control RBAC and ensure database security compliance Analyze and improve database internals indexing strategies and execution plans Build and manage endtoend 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 crossfunctional teams to deliver scalable data engineering and analytics solutions Develop and maintain Pythonbased data services APIs and microservices Work with frameworks such as DBT FastAPI or Django to enable data transformation and service exposure Integrate data platforms with LLMbased 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 Database Engineering Expertise 810 years of experience as a Database Engineer Data Engineer Strong expertise in Data modeling and database design Performance tuning and optimization Advanced SQL and TSQL Proven experience writing Complex Stored Procedures User Defined Functions UDFs Triggers Strong knowledge of Database internals Indexing and execution plans Security models and RBAC Azure Data Engineering 5 years of experience with Azure data platforms including Azure Data Factory ADF building complex pipelines and orchestrations Azure Synapse Analytics Microsoft Fabric Data lakes and data warehouse implementations Good understanding of Azure ecosystem and services Networking fundamentals in Azure VNets private endpoints etc Programming Frameworks Strong handson experience in Python including API integrations and data processing Building microservices architectures Familiarity with DBT Data Build Tool Workflow orchestration tools Frameworks such as FastAPI or Django AI LLM Agentic Systems Preferred Experience working with LLMbased interfaces AIpowered automation workflows Handson exposure to Claude or similar agentic coding frameworks Designing and building agentbased solutions Prompt engineering and tool orchestration Strong understanding of APIbased LLM integrations Autonomous or semiautonomous workflow design Preferred Qualifications Experience implementing AIdriven data solutions Exposure to MLOps or AI lifecycle management Familiarity with distributed systems and eventdriven architectures Strong problemsolving and analytical skills Soft Skills Excellent communication and stakeholder management skills Ability to work in a fastpaced collaborative environment Strong attention to detail and performance optimization mindset

Mandatory Skills : Azure Data Factory, Azure Synapse Analytics

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/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): 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.