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Azure Databricks handson Architect
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Role description
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
Skills
Mandatory Skills : Databricks
Other details
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:
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.
Benefits
Compensation range: $ 110,000.00 to 150,000.00 per year
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About LTM
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/
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