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Senior Data Architect - Hybrid

Provident Bank
United StatesRemotefull_timeVerifiedPosted 6 May 2026
💰 $124,500/yr($87,200/yr – $124,500/yr)

About the role

How would you like to join one of the most highly regarded financial institutions in New Jersey with deep roots in the community?  Provident is a successful and highly regarded multi-billion-dollar bank that continues to grow with branches in New Jersey, Eastern Pennsylvania and New York.  Our longevity is a testament to our commitment to placing our employees, customers, and the communities we serve at the center of all we do.  At Provident Bank, we are committed to enhancing our customer and employees’ experience. 

 

POSITION OVERVIEW:

Provident Bank is seeking a hands‑on Senior Data Architect to design, build, and evolve enterprise data architectures that support our core banking transformation, cloud data warehouse, and analytics ecosystem. This is a senior individual contributor role, embedded in delivery teams and focused on real‑world execution, not conceptual or ivory‑tower architecture. You will work closely with data engineers, platform teams, governance partners, and business stakeholders to design scalable, compliant, and analytics‑ready data solutions that support long‑term enterprise goals.

 

KEY RESPONSIBILITIES:

Hands‑On Data Architecture & Modeling

  • Design and maintain logical and physical data models, including hubs, links, satellites, and analytics consumption layers
  • Apply Data Vault 2.0 modeling techniques to support scalable, auditable, and historized data solutions
  • Produce detailed architecture and design artifacts to guide engineering implementation
  • Define ingestion, transformation, and consumption patterns that meet performance and regulatory requirements
  • Partner closely with data engineers to ensure designs are implemented accurately
  • Support data governance needs including lineage, auditability, and data controls

 

Agile & Iterative Delivery

  • Actively participate in Agile teams, including sprint planning, backlog refinement, and design reviews
  • Provide just‑in‑time architectural guidance to support continuous delivery
  • Iterate designs based on feedback, evolving requirements, and delivery outcomes
  • Contribute to architecture reviews with a strong focus on practical, executable solution

 

Skills Required

  • Strong hands‑on experience in data architecture and data modeling
  • Practical experience with Data Vault 2.0 modeling
  • Experience working in Agile delivery environments
  • Hands‑on experience with cloud data warehousing and analytics platforms
  • Ability to translate business and regulatory requirements into implementable technical designs
  • Familiarity with banking, risk, compliance, and data governance concepts
  • Strong collaboration and communication skills

 

Experience

  • 8+ years of experience in data architecture, data engineering, or analytics
    (Depth of hands‑on experience matters more than exact years)
  • 6+ years of data modeling experience
  • Proven experience designing and implementing enterprise‑scale data architectures
  • Experience working with large transactional platforms; core banking systems a strong plus
  • Exposure to modern platforms such as Snowflake, dbt, Databricks, Coalesce, or similar tools

 

Education

  • Bachelor’s degree in computer science, Engineering, Information Systems, or related field
  • Master’s degree preferred

 

WORKING CONDITIONS:

Work is performed in a normal office environment. Noise levels are usually moderate. This position involves travel to customers and property locations.

  • Prolonged sitting
  • Lifting from 5 to 10 lbs. (printer paper, storage boxes)
  • Occasional bending or overhead lifting (storing files or boxes)
  • The hazards are mainly those present in a normal office setting

 

This job description may not be all-inclusive. Employees are expected to perform other duties as assigned and directed by management. Job descriptions and duties may be modified when deemed appropriate by

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Company

Provident Bank

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