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Data Solution Architect

Job in East Hanover Township, Morris County, New Jersey, 07936, USA
Listing for: neteffects
Full Time position
Listed on 2026-10-13
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 40.85 - 42.03 USD Hourly USD 40.85 42.03 HOUR
Job Description & How to Apply Below

Job Title:

Data Solution Architect

Location:

East Hanover, NJ (Hybrid)
Pay rate: $40.85 - $42.03/hr

Work schedule:

Monday – Friday, 8:00 AM – 5:00 PM (40 hrs/week)
Duration: 3 month contract

Overview Job Specifications
  • Partner with MDS to ensure data accessibility, retrievability, security, and protection in an ethical manner
  • Conduct business requirement gathering and continuous improvement sessions with Product Owners, BI Developers, and Business Leads
  • Develop requirement documents, acceptance criteria, and test cases for UAT (User Acceptance Testing) and SIT (System Integration Testing)
  • Support scoping, building, testing, and maintaining data pipelines and transport systems to retrieve applicable datasets
  • Build, test, and maintain flexible data models while reconciling multiple logical source models into a single consistent model
  • Analyze the structure, format, and reliability of new and existing data sources for integrity, completeness, and accuracy
  • Participate in data governance processes to document and maintain data for business reusability and consistent information retrieval
  • Bachelor’s degree in Computer Science, Information Systems, or a related field required
  • 1+ years of experience in Data Engineering/Modeling and 3+ years in Database Design required
  • Experience with Data Engineering concepts within a business setting, including working with SAP and internal/external data sources
  • Proficiency in cloud computing technologies (Azure, GCP) and analytics platforms (Databricks, Google Cloud Dataproc)
  • Expertise in programming languages including SQL, Python, PySpark, and DAX
  • Knowledge of CI/CD, Dev Ops, Data Ops, ETL processes, data pipelines, and technical documentation
  • Hands‑on experience with data modeling and wrangling techniques/tools (Star Schema, Snowflake Schema, Data Vault, Alteryx, Power BI, Tableau)
Benefits (employee contribution):
  • Health insurance
  • Health savings account
  • Dental insurance
  • Vision insurance
  • Flexible spending accounts
  • Life insurance
  • Retirement plan

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Rate of pay within the stated range will depend on the qualification of the applicant.

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