Azure Databrciks Architect
Role details
Job location
Tech stack
Requirements
Do you have experience in Writing skills?, 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
Benefits & conditions
(part of Larsen and Toubro (L&T)) 3.73.7 out of 5 stars Raleigh, NC $110,000 - $150,000 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: $110,000.00 to $150,000.00 per year