Architect Jobs in New Jersey
Architect jobs in New Jersey are consistently active, with demand concentrated in commercial development, institutional design, and infrastructure across a market that supports everything from emerging designers to principal-level roles. The heaviest hiring is in Newark, Jersey City, and Princeton, where firms and institutions such as Gensler, Turner Construction, and Princeton University maintain lasting presences. The most sought-after specialties in New Jersey include sustainable design, mixed-use commercial architecture, and healthcare facility planning. Find a role that fits below and apply directly.
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Title: Sr Data Architect
Location: Holmdel, NJ (Hybrid)
Duration: 12+ Months
Visa Status: USC/GC/H4 EAD
Tax Term: W2
Mandatory skills: Investment domain, Databricks, Strong Python
Job Description:
The Senior Data Engineer will design, develop, and support scalable enterprise data solutions for Clients Investments organization. The role will build high-performing data pipelines and data platforms that deliver reliable investment data for reporting, analytics, and downstream business processes. The engineer will work with investment data across multiple asset classes, including fixed income, equities, commercial mortgage loans, private assets, and derivatives. The role requires strong expertise in modern data engineering, investment data, data quality, and production support, along with the ability to collaborate with product owners, architects, business stakeholders, and engineering teams in an Agile environment.
Key Responsibilities
Requirements Elicitation & Analysis
- Understand product vision, business requirements, data models, and platform objectives.
- Collaborate with Product Owners, SMEs, and Architects to define technical requirements and data mapping specifications.
- Translate business rules into detailed low-level technical designs (LLD).
Project Planning, Tracking & Reporting
- Estimate efforts for design, build, and test activities for assigned modules.
- Provide input to sprint planning, schedule creation, and dependency identification.
- Track and report progress, highlighting risks, blockers, and scope variations.
- Ensure timely, high-quality delivery of assigned work items.
Design
- Develop low-level designs for ingestion, transformation, and delivery pipelines.
- Evaluate alternate solutions and recommend optimal technical approaches.
- Present LLDs in formal reviews and incorporate feedback.
Development & Support
- Build scalable, high-performing ETL/ELT pipelines using approved tools and coding standards.
- Implement complex investment data transformations involving trades, positions, valuations, pricing, and security master data.
- Adhere to version control, code management, and DevOps practices.
- Perform peer reviews.
Testing, Debugging & Validation
- Participate in test case walkthroughs and validate coverage for functional and non-functional requirements.
- Conduct impact analysis for enhancements and defects.
- Lead debugging efforts for complex data or performance issues; escalate risks as needed.
Documentation
- Create and maintain technical documentation, including data mappings, transformation logic, unit test results, and operational runbooks.
- Ensure documentation meets SDLC and audit requirements.
Process, Compliance & Governance
- Follow established SDLC, data governance, security, and audit frameworks.
- Support internal and external audit requests related to the data platform.
- Ensure engineering practices adhere to corporate standards.
Qualifications & Required Skills
Must Have Skills
Data Engineering and SQL
- Strong experience in SQL development, complex query design, performance tuning, and large-scale data processing.
- Proven experience designing scalable data pipelines and database solutions that support high-volume integration, reporting, and analytics workloads.
- Strong knowledge of relational, dimensional, and analytical data modeling.
- Experience implementing data quality, validation, reconciliation, exception handling, auditability, and restart and recovery capabilities.
Databricks, Spark, and Python
- Strong hands-on experience with Databricks, Apache Spark, PySpark, and distributed data-processing frameworks.
- Experience developing common frameworks for ingestion, transformation, validation, logging, monitoring, and automation.
- Knowledge of Lakehouse architecture and cloud-based data engineering patterns.
- Experience optimizing Spark jobs, partitioning strategies, storage formats, and pipeline performance.
- Strong Python development skills with experience building reusable, modular, testable, and production-ready data engineering solutions.
ETL/ELT and Orchestration
- Experience designing and implementing enterprise-scale ETL/ELT pipelines using Informatica or equivalent data integration platforms.
- Experience building workflows with robust scheduling, dependency management, error handling, recovery, and operational monitoring.
- Experience with enterprise scheduling and orchestration tools such as Control-M or comparable platforms.
Investment Data
- Strong understanding of investment data, including securities, trades, transactions, positions, holdings, cash, pricing, valuations, and benchmarks.
- Familiarity with multiple asset classes, including fixed income, equities, commercial mortgage loans, private equity, private placements, and derivative products.
- Understanding of security master, reference data, market data, investment accounting, and downstream reporting processes.
- Ability to translate investment business rules into technical mappings, transformation logic, and validation controls.
DevOps and Delivery
- Experience with Git-based version control and CI/CD platforms such as Azure DevOps, Jenkins, or GitHub Actions.
- Experience with automated testing, deployment, release management, and environment configuration.
- Experience working in Agile delivery environments using Scrum, Kanban, or SAFe practices.
- Strong collaboration skills with product owners, architects, business stakeholders, quality assurance teams, and engineers.
Nice to have
- Experience working with investment accounting and investment data management platforms such as Eagle PACE, Neoxam.
- Experience designing or integrating generative AI solutions into enterprise data platforms and business workflows.
- Understanding of large language models, prompt engineering, embeddings, semantic search, vector databases, and Retrieval-Augmented Generation architectures.
- Experience using AI-assisted engineering tools such as GitHub Copilot, Microsoft Copilot, or Databricks Assistant to improve development, testing, documentation, or operational productivity.
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Typically 8-10 years of experience in data engineering roles.
Behavioral Competencies
- Analytical and detail-oriented with strong problem-solving skills.
- Highly collaborative and comfortable working with cross-functional teams.
- Effective in communicating technical concepts to business stakeholders.
- Self-driven with an ownership mindset and focus on delivery excellence.
- Adaptable and able to thrive in a fast-paced, Agile environment.
Additional Information
Occasional evening or weekend work may be required during critical releases or production support windows.
Title: Sr Data Architect
Location: Holmdel, NJ (Hybrid)
Duration: 12+ Months
Visa Status: USC/GC/H4 EAD
Tax Term: W2
Mandatory skills: Investment domain, Databricks, Strong Python
Job Description:
The Senior Data Engineer will design, develop, and support scalable enterprise data solutions for Clients Investments organization. The role will build high-performing data pipelines and data platforms that deliver reliable investment data for reporting, analytics, and downstream business processes. The engineer will work with investment data across multiple asset classes, including fixed income, equities, commercial mortgage loans, private assets, and derivatives. The role requires strong expertise in modern data engineering, investment data, data quality, and production support, along with the ability to collaborate with product owners, architects, business stakeholders, and engineering teams in an Agile environment.
Key Responsibilities
Requirements Elicitation & Analysis
- Understand product vision, business requirements, data models, and platform objectives.
- Collaborate with Product Owners, SMEs, and Architects to define technical requirements and data mapping specifications.
- Translate business rules into detailed low-level technical designs (LLD).
Project Planning, Tracking & Reporting
- Estimate efforts for design, build, and test activities for assigned modules.
- Provide input to sprint planning, schedule creation, and dependency identification.
- Track and report progress, highlighting risks, blockers, and scope variations.
- Ensure timely, high-quality delivery of assigned work items.
Design
- Develop low-level designs for ingestion, transformation, and delivery pipelines.
- Evaluate alternate solutions and recommend optimal technical approaches.
- Present LLDs in formal reviews and incorporate feedback.
Development & Support
- Build scalable, high-performing ETL/ELT pipelines using approved tools and coding standards.
- Implement complex investment data transformations involving trades, positions, valuations, pricing, and security master data.
- Adhere to version control, code management, and DevOps practices.
- Perform peer reviews.
Testing, Debugging & Validation
- Participate in test case walkthroughs and validate coverage for functional and non-functional requirements.
- Conduct impact analysis for enhancements and defects.
- Lead debugging efforts for complex data or performance issues; escalate risks as needed.
Documentation
- Create and maintain technical documentation, including data mappings, transformation logic, unit test results, and operational runbooks.
- Ensure documentation meets SDLC and audit requirements.
Process, Compliance & Governance
- Follow established SDLC, data governance, security, and audit frameworks.
- Support internal and external audit requests related to the data platform.
- Ensure engineering practices adhere to corporate standards.
Qualifications & Required Skills
Must Have Skills
Data Engineering and SQL
- Strong experience in SQL development, complex query design, performance tuning, and large-scale data processing.
- Proven experience designing scalable data pipelines and database solutions that support high-volume integration, reporting, and analytics workloads.
- Strong knowledge of relational, dimensional, and analytical data modeling.
- Experience implementing data quality, validation, reconciliation, exception handling, auditability, and restart and recovery capabilities.
Databricks, Spark, and Python
- Strong hands-on experience with Databricks, Apache Spark, PySpark, and distributed data-processing frameworks.
- Experience developing common frameworks for ingestion, transformation, validation, logging, monitoring, and automation.
- Knowledge of Lakehouse architecture and cloud-based data engineering patterns.
- Experience optimizing Spark jobs, partitioning strategies, storage formats, and pipeline performance.
- Strong Python development skills with experience building reusable, modular, testable, and production-ready data engineering solutions.
ETL/ELT and Orchestration
- Experience designing and implementing enterprise-scale ETL/ELT pipelines using Informatica or equivalent data integration platforms.
- Experience building workflows with robust scheduling, dependency management, error handling, recovery, and operational monitoring.
- Experience with enterprise scheduling and orchestration tools such as Control-M or comparable platforms.
Investment Data
- Strong understanding of investment data, including securities, trades, transactions, positions, holdings, cash, pricing, valuations, and benchmarks.
- Familiarity with multiple asset classes, including fixed income, equities, commercial mortgage loans, private equity, private placements, and derivative products.
- Understanding of security master, reference data, market data, investment accounting, and downstream reporting processes.
- Ability to translate investment business rules into technical mappings, transformation logic, and validation controls.
DevOps and Delivery
- Experience with Git-based version control and CI/CD platforms such as Azure DevOps, Jenkins, or GitHub Actions.
- Experience with automated testing, deployment, release management, and environment configuration.
- Experience working in Agile delivery environments using Scrum, Kanban, or SAFe practices.
- Strong collaboration skills with product owners, architects, business stakeholders, quality assurance teams, and engineers.
Nice to have
- Experience working with investment accounting and investment data management platforms such as Eagle PACE, Neoxam.
- Experience designing or integrating generative AI solutions into enterprise data platforms and business workflows.
- Understanding of large language models, prompt engineering, embeddings, semantic search, vector databases, and Retrieval-Augmented Generation architectures.
- Experience using AI-assisted engineering tools such as GitHub Copilot, Microsoft Copilot, or Databricks Assistant to improve development, testing, documentation, or operational productivity.
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Typically 8-10 years of experience in data engineering roles.
Behavioral Competencies
- Analytical and detail-oriented with strong problem-solving skills.
- Highly collaborative and comfortable working with cross-functional teams.
- Effective in communicating technical concepts to business stakeholders.
- Self-driven with an ownership mindset and focus on delivery excellence.
- Adaptable and able to thrive in a fast-paced, Agile environment.
Additional Information
Occasional evening or weekend work may be required during critical releases or production support windows.
See All 95 Architect Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
Find Architect JobsArchitect Jobs by City in New Jersey
Where New Jersey roles are concentrated, by current openings.
Architect Job Market in New Jersey
A snapshot from current New Jersey openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Science & Research
- Chemicals & Materials
What New Jersey Employers Look For
The qualifications that appear most often in architect jobs across New Jersey.
- Active New Jersey licensed architect credential issued by the State Board of Architects
- Professional degree in architecture from a NAAB-accredited program required
- Proficiency in Revit, AutoCAD, and BIM modeling software for project documentation
- Experience managing design development through construction administration phases
- Familiarity with New Jersey building codes, zoning regulations, and permit processes
- Strong communication skills for client presentations and interdisciplinary team coordination
Architect Jobs in New Jersey: Frequently Asked Questions
How do you become a architect in New Jersey?
To become a licensed architect in New Jersey, you must earn a professional degree in architecture from a NAAB-accredited program, complete the Architectural Experience Program, and pass all sections of the Architect Registration Examination. Licensure is granted by the New Jersey State Board of Architects, which also oversees renewals and reciprocity applications for candidates already licensed in another state.
How much do architects make in New Jersey?
Architects in New Jersey earn a median of about $99,800 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $72,870 for the lowest 10% to over $207,650 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire architects in New Jersey?
Employers hiring architects in New Jersey right now include JPMorganChase, Cognizant, and Hewlett Packard Enterprise | HPE, based on current listings on Migrate Mate as of November 2026. New Jersey's concentration of corporate headquarters, healthcare campuses, and large-scale transit and redevelopment projects means demand is spread across both private design firms and owner-side roles at institutions and developers.
Which New Jersey cities have the most architect jobs?
Jersey City, New Jersey, and Newark have the most architect openings in New Jersey. Newark and Jersey City drive volume through large-scale commercial, mixed-use, and transit-oriented redevelopment projects, while Princeton's concentration of university, research, and life sciences campuses generates steady institutional design demand that keeps smaller markets competitive.
Are there remote architect jobs in New Jersey?
Yes, but they're rare. About 81% of architect openings tied to New Jersey are remote or hybrid as of November 2026, reflecting the hands-on, site-dependent nature of most architecture work. The roles most likely to offer remote flexibility are those focused on design development, specifications writing, or project management at firms with distributed teams.
How can I get hired as a architect in New Jersey with little or no experience?
The most realistic entry path is an internship or emerging professional role at a mid-size New Jersey design firm while completing the Architectural Experience Program hours required for licensure. Large institutional employers such as NJ Transit, Rutgers University, and major hospital systems occasionally post associate or project coordinator roles that welcome candidates still pursuing their ARE. Building a focused portfolio of studio and internship work and pursuing LEED accreditation gives early-career candidates a concrete edge in New Jersey's sustainability-conscious market.
Where can I find and apply to architect jobs in New Jersey?
You can find and apply to architect jobs in New Jersey on Migrate Mate, which lists current openings across the state. Find the roles that fit your experience and specialization and apply directly.
See All 95 Architect Jobs in New Jersey
Find roles in New Jersey that match your experience and apply in just a few clicks.
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