Lead Data Architect – Enterprise

Job not on LinkedIn

🕒 July 27

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 56%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Empowers Staffing Inc

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

💼 Consulting

🎯 Recruiter

🤖 Artificial Intelligence

Consulting • Recruitment • Artificial Intelligence

Empowers Staffing Inc is presented in the provided content as (or appears to be represented by) a Minnesota-based IT consulting and staffing/ staff-augmentation provider. The webpage content largely corresponds to LAK Technology — a firm offering IT consulting and digital transformation services for small- to mid-size businesses, including software engineering (QA & testing, mobile apps, UI/UX, project management), data analytics and AI/ML, cloud migration and DevOps, custom solution development, and team extension/staff augmentation. The site lists a St. Paul, MN address and contact details and emphasizes workforce extension, bespoke software solutions, and data & cloud services.

📋 Description

• Define and maintain enterprise-wide data architecture standards, principles, and roadmaps • Design scalable data platforms including data lakes, data warehouses, and lake-house architectures • Lead architecture decisions for batch and real-time data processing • Ensure alignment between business strategy and data architecture • Architect and oversee ETL/ELT pipelines and data integration solutions • Guide design and implementation of streaming and event-driven architectures • Review and approve data designs, models, and solutions • Establish and enforce data governance, data quality, and metadata management practices • Ensure compliance with data security, privacy, and regulatory requirements • Define data lineage, access control, and audit-ability standards • Lead cloud and hybrid data architecture across AWS, Azure, and/or GCP • Drive cloud-native, scalable, and cost-optimized data solutions • Act as the senior data architecture authority across programs and initiatives

🎯 Requirements

• 5+ years in data architecture, data engineering, or enterprise systems • 10+ years of experience • Strong experience designing enterprise-scale data platforms • Deep knowledge of data modeling, integration, and processing patterns • Hands-on experience with modern cloud data platforms • Strong understanding of data governance, security, and compliance • Excellent communication and stakeholder management skills

🏖️ Benefits

• Remote Job • Full time