Associate Principal - Architecture
Role Description
Data Architect - Databricks Data Modeling
About the role
Design scalable data architectures on Azure ADF, Databricks, and Synapse SQL. Lead the design and implementation of Lakehouse architectures, data pipelines, and optimized data models. Define data standards, governance, and best practices for enterprise analytics.
Responsibilities
- Translate business requirements into scalable data solutions
- Collaborate with business and analytics teams
- Design and implement scalable data architectures
- Implement data pipelines and optimized data models
- Define data standards, governance, and best practices
- Optimize data models for performance and cost efficiency
- Manage data standards and best practices for enterprise analytics
- Work with business and analytics teams to translate requirements into scalable data solutions
Requirements
- 12 years of experience as Data Architect with strong expertise in Databricks and modern data platforms
- Handson experience in designing scalable data architectures on Azure ADF, Databricks, and Synapse SQL
- Strong data modeling expertise in conceptual, logical, dimensional, and data mart design
- Experience working with MDW (MarketingData Warehouse)
- Experience with enterprise data ecosystems
- Expertise in performance optimization, data partitioning, and cost-efficient designs
- Strong knowledge of ETL (Extract, Transform, Load) and big data processing
- Excellent stakeholder management and solution leadership skills
Qualifications
Comprehensive Medical Plan, 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
Benefits
- Comprehensive Medical Plan
- 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
Pay
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.
Schedule
N/A