Job Title: Application Architect - Data & Analytics (Power BI, Azure Data Factory & Databricks)
Duration: 12 months(37.5 hrs per week)
Location: 2 Broadway, NYC - 100% Onsite
Pay rate: $75/hr on C2C
Position Summary
The Application Architect will design and support enterprise data, analytics, and cloud solutions, with a focus on Power BI, Azure Data Factory, Databricks, and cloud platforms. The role provides technical leadership across business intelligence, data engineering, analytics, and AI initiatives.
Required Qualifications
- 10+ years of experience in enterprise applications, data, analytics, or solution architecture.
- Strong hands-on Power BI experience, including dashboards, DAX, semantic models, and workspace administration.
- Strong experience with Azure Data Factory, including ETL/ELT pipelines and data integration.
- Hands-on experience administering and supporting Databricks.
- Experience managing cloud resources in Azure, AWS, and GCP.
- Strong knowledge of data warehouses, data lakes, dimensional modeling, and analytics architecture.
- Strong SQL, data integration, and performance optimization experience.
- Knowledge of DevOps, CI/CD, infrastructure automation, and cloud security.
- Strong analytical, communication, and problem-solving skills.
- Bachelor's degree in a related field or equivalent experience.
Preferred Qualifications
- Azure, AWS, and/or GCP certifications.
- Databricks certification or equivalent experience.
- Experience with Machine Learning, Generative AI, and AI platforms.
- Knowledge of data governance, metadata management, and data quality.
- Large enterprise or public-sector experience.
Key Responsibilities
Architecture & Design
- Design scalable enterprise data and analytics architectures.
- Define technical standards and best practices for data, reporting, analytics, and AI.
- Create solution designs, architecture diagrams, and implementation roadmaps.
- Evaluate new technologies and platforms.
Power BI
- Develop and maintain Power BI dashboards, reports, semantic models, and data models.
- Optimize performance, security, usability, and governance.
- Translate business reporting requirements into scalable BI solutions.
Azure Data Factory / Data Engineering
- Develop and maintain Azure Data Factory pipelines.
- Build data ingestion, transformation, and orchestration processes.
- Support enterprise data warehouses and data lakes.
- Ensure data quality, scalability, reliability, monitoring, and recovery.
Databricks
- Administer Databricks workspaces, clusters, security, and access controls.
- Support data engineering, analytics, and machine learning workloads.
- Perform troubleshooting and performance tuning.
Cloud
- Deploy and manage services across Azure, AWS, and GCP.
- Design secure, highly available, and cost-effective cloud solutions.
- Support infrastructure automation and DevOps practices.
- Monitor cloud performance, security, and resource utilization.
AI & Analytics
- Evaluate Machine Learning, Generative AI, and AI technologies.
- Support AI integration into enterprise applications and data platforms.
- Participate in POCs and technology assessments.
- Provide guidance on AI governance, security, and scalability.
Technical Leadership
- Provide technical guidance to developers, engineers, and analysts.
- Review solution designs and code.
- Support enterprise technology initiatives.
- Serve as an SME for cloud, data, analytics, and BI technologies.
Core Skills
- Data Warehousing / Data Lakes
