Associate Principal - Data Engineering

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

Do you have experience in System tuning?, 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 Skills

Mandatory Skills : Azure Data Factory, Azure Synapse Analytics Other details

(part of Larsen and Toubro (L&T)) 3.73.7 out of 5 stars Dallas, TX $120,000 - $140,000 a year, Pulled from the full job description

• Paid parental leave
• Parental leave
• Health insurance
• 401(k) matching
• Vision insurance
• Dental insurance
• Life insurance, 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., Compensation range: $120,000.00 to $140,000.00 per year

LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert