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 .
Role: Azure Databricks Architect
Work Location:
Dallas, TX
Responsibilities:
- Lead the architecture, design, and implementation of advanced analytics solutions using Azure Databricks/ Fabric. The ideal candidate will have a deep understanding of big data technologies, data engineering, and cloud computing, with a strong focus on Azure Databricks along with Strong SQL.
- Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions.
- Oversee the end-to-end implementation of data solutions, ensuring alignment with business requirements and best practices.
- Lead the development of data pipelines and ETL processes using Azure Databricks, PySpark, and other relevant tools.
- Integrate Azure Databricks with other Azure services (e.g., Azure Data Lake, Azure Synapse, Azure Data Factory) and on-premise systems.
- Provide technical leadership and mentorship to the data engineering team, fostering a culture of continuous learning and improvement.
- Ensure proper documentation of architecture, processes, and data flows, while ensuring compliance with security and governance standards.
- Ensure best practices are followed in terms of code quality, data security, and scalability.
- Stay updated with the latest developments in Databricks and associated technologies to drive innovation.
Experience:
- Demonstrated expertise of 12+ years in developing data ingestion and transformation pipelines using Databricks/Synapse notebooks and Azure Data Factory.
- Solid understanding and hands-on experience with Delta tables, Delta Lake, and Azure Data Lake Storage Gen2.
- Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation.
- Proficiency in building and optimizing query layers using Databricks SQL.
- Demonstrated experience integrating Databricks with Azure Synapse, ADLS Gen2, and Power BI for end-to-end analytics solutions.
- Prior experience in developing, optimizing, and deploying Power BI reports.
- Familiarity with modern CI/CD practices, especially in the context of Databricks and cloud-native solutions.
Essential Skills:
- Strong experience with Azure Databricks, including cluster management, notebook development, and Delta Lake.
- Proficiency in big data technologies (e.g., Hadoop, Spark) and data processing frameworks (e.g., PySpark).
- Deep understanding of Azure services like Azure Data Lake, Azure Synapse, and Azure Data Factory.
- Experience with ETL/ELT processes, data warehousing, and building data lakes.
- Strong SQL skills and familiarity with NoSQL databases.
- Experience with CI/CD pipelines and version control systems like Git.
- Knowledge of cloud security best practices.
Nice to have Skills:
- Power BI for dashboarding and reporting.
- Microsoft Fabric for analytics and integration tasks.
- Spark Streaming for processing real-time data streams.
- Familiarity with Azure Resource Manager (ARM) templates for infrastructure as code (IaC) practices.
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.
Safe return to office:
In order to comply with LTIMindtree' s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree's COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree's applicable processes.