Application Architect - 6145-1

Job Title: Application Architect – Data & Analytics (Power BI, Azure Data Factory & Databricks)

Location: NYC, NY (Hybrid)

Client: MTA

Duration: 12 Months

Work Hours: 37.5 hrs/week

 

Position Summary

• The Application Architect is responsible for the design, development, implementation, administration, and continuous improvement of enterprise data and analytics solutions across cloud platforms.
• This role provides technical leadership in the architecture and delivery of business intelligence, data engineering, data analytics, and artificial intelligence solutions.
• The Application Architect collaborates with business stakeholders, data engineers, analysts, and technology teams to develop scalable, secure, and high-performing data platforms that support enterprise decision-making and innovation.

 

Key Responsibilities

 

Solution Architecture & Design

• Design and implement scalable enterprise data and analytics architectures using cloud-native technologies.
• Support technical standards, best practices, and architectural guidelines for data integration, reporting, analytics, and AI solutions.
• Research and evaluate the use of emerging technologies and platforms.
• Create technical designs, diagrams, and implementation roadmaps.

 

Business Intelligence & Analytics

• Design, develop, test, deploy, and maintain enterprise Power BI dashboards, reports, data models, and semantic layers.
• Optimize dashboard performance, usability, security, and governance.
• Collaborate with business users to translate reporting and analytical requirements into scalable solutions.

 

Data Engineering & Integration

• Design, develop, and maintain Azure Data Factory pipelines and other cloud-based data integration solutions.
• Build and optimize data ingestion, transformation, and orchestration processes supporting enterprise data warehouses and data lakes.
• Ensure data quality, reliability, scalability, and operational efficiency across data platforms.
• Implement monitoring, alerting, and automated recovery mechanisms for production workloads.

 

Cloud Platform Administration

• Deploy, configure, and manage cloud infrastructure and services across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (Google Cloud Platform).
• Design secure, highly available, and cost-effective cloud solutions.
• Implement infrastructure-as-code, automation, and DevOps practices where appropriate.
• Monitor platform performance, resource utilization, security compliance, and operational health.

 

Databricks Administration

• Administer and maintain the Databricks platform, including workspace configuration, cluster management, security, access controls, and performance tuning.
• Support data engineering, machine learning, and analytics workloads within Databricks.
• Troubleshoot and resolve technical issues affecting Databricks environments, working with the vendor as necessary.

 

AI, Data Analytics & Innovation

• Research, evaluate, and recommend innovative technologies and best-practice approaches for Data Engineering, Data Analytics, Machine Learning, Generative AI, and Artificial Intelligence solutions.
• Assist in the development of strategies for integrating AI capabilities into enterprise applications and data platforms.
• Participate in proof-of-concepts and technology assessments to support strategic initiatives.
• Provide technical guidance on AI governance, scalability, security, and responsible AI implementation.

 

Technical Leadership

• Mentor developers, engineers, and analysts on design principles and best practices.
• Review solution designs and code to ensure compliance with standards.
• Collaborate with cross-functional teams to deliver enterprise technology initiatives.
• Serve as a technical subject matter expert for cloud, analytics, and data platform technologies.

 

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience.
• 10+ years of experience designing, developing, and supporting enterprise applications, analytics, and data solutions.
• Extensive experience with Microsoft Power BI, including dashboard development, DAX, semantic models, and workspace administration.
• Strong experience designing and maintaining Azure Data Factory pipelines and cloud-based ELT/ETL solutions.
• Experience administering and supporting Databricks environments.
• Experience deploying and managing cloud resources in Azure, AWS, and Google Cloud Platform.
• Strong understanding of data warehousing, data lakes, dimensional modeling, and enterprise analytics architectures.
• Experience with SQL, data integration, and performance optimization.
• Knowledge of DevOps, CI/CD, infrastructure automation, and cloud security best practices.
• Excellent analytical, communication, and problem-solving skills.

 

Preferred Qualifications

• Cloud certifications in Azure, AWS, and/or Google Cloud.
• Databricks certification or equivalent experience.
• Experience with machine learning, AI platforms, and Generative AI solutions.
• Knowledge of data governance, metadata management, and data quality frameworks.
• Experience working in large enterprise or public-sector environments.

 

Key Competencies

• Data Engineering
• Business Intelligence
• Cloud Computing
• Artificial Intelligence
• Solution Design
• Data Analytics
• Platform Administration