- Define and communicate data architecture requirements while maintaining current data management best practices
- Manage solution design projects and ensure best practices are followed
- Manage emerging technology projects and develop strategies supporting organizational objectives
- Analyze and apply architecture tools and frameworks based on customer requirements
- Work with SMEs to explore new tools and frameworks
- Establish architectural principles and patterns
- Conduct technical and design reviews
- Capture and analyze system and technical issues using advanced tools
- Implement code or configure/customize products and drive adoption of industry standards
- Work independently on complex modules
- Analyze frameworks and tools, present recommendations, and contribute to training and certification materials
- Demonstrate thought leadership through whitepapers and webinars
- Lead application design efforts and establish design principles, guidelines, and standards
- Identify and mitigate design risks and recommend corrective actions
- Innovate and improve design processes and tools
- Estimate work and plan resources
- Collaborate with data owners to establish and implement data quality rules
- Lead teams developing cloud data and analytics solutions
- Mentor junior developers and testers
- Build strong relationships with client technical teams
- Participate in developing cloud data warehouses, data-as-a-service, and business intelligence solutions
- Develop complex Spark code and modern data warehouse solutions
Requirements
- 12–14 years of overall experience
- Minimum 3+ years of experience in MS Fabric/Azure
- At least 3 years of experience working as an architect
- 3+ years of data modelling experience
- Data warehouse (DWH) background
- Strong ETL experience
- Extensive hands-on experience with MS Fabric, Azure Data Factory, Databricks with Unity Catalog, Azure Functions, Synapse Analytics, Data Lake, Delta Lake, and Azure SQL Database
- Strong communication and analytical skills
- Highly proficient in SQL development
- Experience working in an Agile environment
- Experience in BAU projects in the Azure space
- Ability to define and communicate data architecture requirements
- Experience establishing data quality rules and definitions
- Experience developing cloud data and analytics solutions
- Experience with data wrangling of heterogeneous data
- Ability to code complex Spark using Scala or Python
- Experience developing modern data warehouse solutions using Azure Stack/Azure Databricks
- Solution design experience for complex solutions
- Familiarity with industry architecture tools and frameworks
- Knowledge of architecture concepts, principles, patterns, technical and design reviews
- Mastery of design principles and performance engineering concepts
- Understanding of estimation and resource planning techniques, including the WBS model
Core Competencies
Demonstrates expertise in data architecture, cloud data solutions, and data management best practices, with a strong focus on MS Fabric, Azure technologies, and data quality standards. Proven ability to lead design efforts, mentor teams, and innovate processes in complex data environments.
Highest-signal resume keywords
- MS Fabric/Azure Expertise
- Data Warehouse Development
- ETL Process Management
- Complex Spark Coding
- Data Architecture Design
Hard Skills
- SQL Development
- Data Modelling
- Cloud Data Solutions
- Data Quality Rules Establishment
- Agile Methodology
- Architecture Tools and Frameworks
- Performance Engineering Concepts
- Resource Planning Techniques
- Data Wrangling
- Solution Design
Soft Skills
- Strong Communication Skills
- Analytical Skills
- Mentoring
- Collaboration
- Thought Leadership
Industry Keywords
- Data Architecture
- Cloud Data Warehousing
- Business Intelligence Solutions
- Design Principles
- Technical Reviews
Tools & Technologies
- Azure Data Factory
- Databricks with Unity Catalog
- Azure Functions
- Synapse Analytics
- Data Lake
- Delta Lake
- Azure SQL Database