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Enterprise Architect

Job in Woodbridge Township, Middlesex County, New Jersey, 07095, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations, Data Security
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Work with the Chief Data Architect to drive the enterprise data management function and roadmap including current, target and transition states in line with the overall Arch Data & AI strategy.
  • Maintain the market solution architecture designs and playbooks for adoption of modern data warehousing tech like Snowflake and strategic data platform & analytics capabilities.
  • Ensure successful delivery of data management initiatives working alongside the solution architects and data architects from the programme.
  • Own the target state enterprise data management platforms and architecture and transition states from current state, per Segment.
  • Bring on new Data Management capabilities if required within the organisation from inception to adoption.
  • Lead the Data Management Centre of Excellence covering all aspects of Data Management and tooling
  • Manage the Vendor relationships across all tooling covering the data management capabilities.
  • Steer and quantifying the value of data platforms transformation.
  • Shape overall data management roadmaps, co-created with domain SMEs from the business, to give an overall and coherent view across data in Arch.
Requirements
  • At least 3 years of enterprise architecture experience within an organization of similar size and complexity to Arch.
  • Data architecture expertise with rich experience in delivering transformative programs with a large data management footprint
  • Experience in architecting and driving Data Governance, Master Data Management, Data Quality, Metadata Management, Data Access Management, Data privacy across a global enterprise
  • Experience in modern data warehousing and having a solid technical understanding of modern cloud systems is essential
  • Experience in working with Snowflake/Databricks as an enterprise capability & deep knowledge of the ecosystems.
  • Experience in key data architecture functions across ingestion, transformation, visualization, metadata management leveraging tools like Snowflake ideally, Azure services, dbt Cloud, Collibra.
  • Experience in delivering data products aligned to business requirements and aligned to the data mesh principles in the modern data warehousing paradigm.
  • Practically leading successful technical adoption of modern data management capabilities into an enterprise organization.
  • Strong senior stakeholder communicator, with experience in executive communication.
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