Data Architect
We are seeking a senior-level Data Architectto lead the design and implementation of enterprise data analytics environments. You will be a key contributor to data modeling practices, defining technical strategy, and ensuring data solutions are scalable, reusable, and aligned with modern architectural standards.
Work Arrangement: REMOTE (Must report on-site in Columbus, OH for Day 1)
Location: Columbus, Ohio
Interview Process: Virtual via Microsoft Teams
Key Responsibilities
- Architectural Leadership: Make high-level technical decisions regarding data platforms, integration systems, and storage solutions.
- Data Modeling: Design conceptual, logical, and physical data models to support enterprise-wide analytics.
- Integration Strategy: Build and optimize data pipelines between internal systems and enterprise data lakes.
- Standards & Governance: Establish naming conventions, design patterns, and best practices for data engineering teams.
Required Skills & Experience
To be successful in this role, you must have at least 5 years of proven experience in:
- Salesforce Ecosystem: Advanced knowledge of Salesforce platforms, including Apex, Lightning Web Components (LWC), and Salesforce Flow.
- Cloud Platforms: Deep expertise in Snowflake data platforms and Microsoft Azure/Dynamics environments.
- Analytics & Visualization: Hands-on experience with Tableau analytics integration.
- Data Engineering: Proficiency in Microsoft SQL Server , AWS S3 storage, and StreamSets data integration pipelines.
Mandatory Compliance
- Day 1 On-Site: You must be able to report to the office in Columbus, OH on your first day.
- U.S. Based Work: All work must be performed within the United States. Use of government equipment outside of the U.S. is strictly prohibited.
- Background Check: Candidates must be willing to complete a federal FBI Fingerprint check.