Senior Data Engineer - Hybrid

Provident Bank•Woodbridge Township, NJ

2d•Hybrid

About The Position

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.

Requirements

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
8+ years of experience in data architecture, data engineering, or analytics
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
Bachelor’s degree in computer science, Engineering, Information Systems, or related field

Nice To Haves

Master’s degree preferred

Responsibilities

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
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