Applications Architect (6145-1)
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- United States
- Work type
- Hybrid
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Job Description
Job Title: Applications Architect (6145-1)
Duration: 12 months
Location: New York
Notes: This is a hybrid role.
Job Description
- 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 (GCP).
- 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.
Skills/experience of the assigned staff:
Required
Required
- 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 GCP.
- 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
About Us:
Since 2000, Tri-Force Consulting Services (https://triforce-inc.com) has been an MBE/SDB certified IT Consulting
firm in the Philadelphia region. Tri-Force specializes in IT staffing, software development (web and mobile apps),
systems integration, data analytics, system automation, cybersecurity, and cloud technology solutions for government
and commercial clients. Tri-Force works with clients to overcome obstacles such as increasing productivity,
increasing efficiencies through automation, and lowering costs. Our clients benefit from our three distinguishing
core values: integrity, diligence, and technological excellence.
Tri-Force is a six-time winner among the fastest-growing companies in Philadelphia and a four-time winner on the
Inc. 5000 list of the nation's fastest-growing companies.
