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Lead Data Architect – Cloud & Analytics

Job in Town of Germantown, Germantown, Washington County, Wisconsin, 53022, USA
Listing for: Continuus Technologies LLC
Full Time position
Listed on 2026-10-27
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below

We’re looking for a Lead Data Architect to design and evolve a modern cloud data platform supporting investment and analytics workflows. This role combines hands‑on architecture with strategic leadership and is ideal for someone who has successfully led enterprise data modernization initiatives.

You’ll partner with business and technical teams to shape data strategy, guide platform decisions, and build scalable solutions that support critical decision‑making. This is a highly visible role requiring both technical depth and the ability to influence stakeholders.

What You’ll Do
  • Architect scalable cloud data platforms for analytics and operational use
  • Design enterprise data models and data pipelines
  • Lead modernization of legacy data environments
  • Evaluate and integrate data vendors and platforms
  • Partner with business stakeholders to translate requirements into technical architecture
  • Establish architecture standards, governance, and best practices
  • Mentor engineers and elevate technical capabilities across teams
  • Drive adoption of modern data tools and frameworks
Required Qualifications
  • 8+ years of experience in data engineering, architecture, or platform engineering
  • Strong hands‑on experience with Snowflake or similar cloud data platform
  • Experience designing and implementing enterprise data architectures
  • Proven track record leading modernization or transformation initiatives
  • Strong communication skills and ability to explain technical concepts to non‑technical stakeholders
  • Experience working with complex or high‑volume data environments
Preferred Experience
  • Exposure to financial, investment, or analytical data ecosystems
  • Experience integrating market or enterprise data vendors (Fact Set, Bloomberg, Refinitiv, etc.)
  • Familiarity with front office or operational analytics workflows
  • Experience with dbt, orchestration tools, or modern data stack frameworks
  • Vendor/platform evaluation or selection experience
  • Background mentoring engineers or leading technical initiatives
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