Azure Databricks handson Architect

Principal Azure Databricks handson Architect Azure Databricks Data Engineering Lakehouse Architecture Must Have Skills Strong experience in designing and developing data pipelines and ETLELT workflows using Azure Databricks Expertise in Apache Spark PySparkScala and SQL for largescale data processing Handson experience with Delta Lake and Lakehouse architecture Experience in building scalable optimized and performant data pipelines Strong understanding of data modeling data integration and big data processing frameworks Experience with Azure ecosystem ADLS ADF Synapse Knowledge of data governance security and data quality frameworks within Databricks Ability to monitor troubleshoot and optimize Databricks workloads and performance Experience working with crossfunctional teams for integrating data solutions Proven experience in architectural design and data engineering strategy planning Secondary Nice To Have Skills NOT MANDATORY Experience with machine learning workflows on Databricks MLflow model deployment Familiarity with Unity Catalog data lineage and governance frameworks Exposure to CICD DevOps and orchestration tools Airflow Azure DevOps Experience with streaming frameworks Kafka Structured Streaming Knowledge of BI tools such as Power BI Domain exposure in Insurance Financial Services Experience in evaluating and adopting emerging data engineering tools and technologies Soft Skills Strong technical leadership and mentoring abilities Excellent stakeholder management and requirement translation skills Effective communication and collaboration across business and technical teams Problemsolving mindset with focus on performance optimization and innovation Ability to drive best practices code quality and continuous improvement initiatives Strategic thinking with ability to contribute to enterprise data architecture decisions Qualifying Questions 1Can you describe your experience in designing endtoend data pipelines using Azure Databricks BronzeSilverGold architecture What scale and complexity did you handle 2How have you optimized performance cost compute query efficiency in Databricks workloads Please share a specific example 3Have you led architecture decisions or mentored teams on Databricks best practices Can you elaborate on your role and impact

Mandatory Skills : Databricks

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.