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Azure Databrciks Architect
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Role description
Data Architect Databricks ETL ML AI BI Data Modelli
Location USA Raleigh North Carolina Mandatory Onsite
Must Have Skills
Databricks Lakehouse architecture
Delta Lake
Dimensional data modelling
ETL data pipeline design
Primary Skill
Databricks Architecture Lakehouse Design Databricks Lakehouse architecture Bronze Silver Gold layers Delta Lake
Data Engineering Pipelines ETL ELT architecture batch and near realtime data pipeline design
Processing Analytics Apache Spark PySpark Spark SQL for largescale data processing
Analytical Data Modelling Dimensional Modelling Star Snowflake schemas for reporting and analytics
Data Warehousing Concepts Data quality consistency scalability and performance best practices
Cloud Data Platforms Azure based data platforms with handson experience in ADLS or equivalent
Platform Optimization Cloud storage performance tuning and cost optimization strategies
BI Consumption Enablement Curated analytics ready datasets for BI tools Power BI Tableau or similar
AIML Enablement Feature ready data preparation and pipeline support for AIML workloads on Databricks
Metadata Architecture Standards Metadata management data cataloguing and architectural documentation
Technical Leadership Architecture design and implementation oversight across data solutions
Data governance security and compliance frameworks
Databricks CICD pipelines and Git based development practices
Secondary Nice to Have Skills NOT MANDATORY
ML flow or similar model tracking and lifecycle management tools
Familiarity with Agile Scrum delivery methodologies
Domain experience in Insurance or Financial Services
Soft Skills
As this is an onsite role must have strong written and oral communication skills
Insurance Domain Knowledge
Strong ability to work with client stakeholders
Requirement Review and Work Effort Estimation
3 Qualifying Questions
Databricks Basics Have you used Databricks for data processing or ETL work
Briefly explain the type of data you worked with and your role in the implementation
Data Modelling Fundamentals What types of data models have you worked with for reporting or analytics eg fact dimension tables reporting tables aggregations
Analytics BI Enablement How have you made data available for reporting or dashboards using tools like Power BI or similar platforms
Skills
Mandatory Skills : Data Architecture, Databricks, Dimensional Data Modeling
Good to Have Skills : ETL Concepts
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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