Senior Data Architect - Fully Remote Opportunity
Remote Worldwide Full-time Senior Data Architecture & Governance
At a glance
Senior Data Architecture & Governance role at Zealogics.com. Remote · full-time.
Pay not stated Data Architect salary
RoleData Architecture & Governance
SenioritySenior
LocationWorldwide
WorkplaceRemote
EmploymentFull-time
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Design enterprise data architectures spanning lakes, warehouses, data fabric and master data management
- Build data pipelines and integration frameworks that support scalable data flows
- Set standards for governance, data quality, lineage and security
- Shape data architecture and engineering practices to support AI and machine learning work
- Work with business and technology teams on data strategies, then improve platform performance and reliability
What you bring
- At least fifteen years working in data architecture and data engineering
- Deep experience with master data management, data fabric, data lakes and enterprise data platforms
- Hands-on work with cloud platforms and ETL/ELT, integration and modern data pipelines
- Experience applying governance, metadata management and data quality frameworks
Who this fits
This senior role suits an experienced data architect who can set technical direction and work with business and technology stakeholders. The position is fully remote.
From the employer
We are seeking a Senior Data Architect with strong expertise in Master Data Management (MDM), Data Fabric, Data Lakes, Data Warehousing, and AI-driven data solutions. The ideal candidate will design and implement scalable enterprise data architectures, ensuring high-quality, governed, and accessible data across the organization.
Key Responsibilities:
Key Responsibilities:
- Design and implement enterprise data architectures including Data Lakes, Data Warehouses, Data Fabric, and MDM solutions.
- Build scalable data pipelines and data integration frameworks.
- Define data governance, quality, lineage, and security standards.
- Enable AI/ML initiatives through robust data engineering and architecture practices.
- Collaborate with business and technology teams to develop data strategies and roadmaps.
- Optimize data platforms for performance, scalability, and reliability.
- 15+ years of experience in Data Architecture and Data Engineering.
- Strong expertise in Master Data Management (MDM), Data Fabric, Data Lakes, and Enterprise Data Platforms.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Hands-on experience with ETL/ELT, data integration, and modern data pipelines.
- Knowledge of AI/ML data requirements and analytics platforms.
- Experience with data governance, metadata management, and data quality frameworks.
- Strong communication and stakeholder management skills.
- Experience with Databricks, Snowflake, Microsoft Fabric, Informatica MDM, Collibra, or similar platforms.
- Background in AI, Generative AI, and enterprise data modernization initiatives.
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