Senior Data Architect - Fully Remote Opportunity
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
First seen 15d ago
No source stated a posting date, so this is when the listing first reached us — which is a floor, not the real age. Last seen at its source 9h ago.
We have tracked this listing since 18 Oct 2026 (15 days). The employer's own board has carried it every time we have read it, most recently 9 hours ago.
Is it remote?
Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Not stated
The description states no restriction of its own. This is the source's own tag.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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JazzHR employer's own board first seen 15d ago · last seen 9h ago
The listing
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.