Staff Data Platform Engineer (Databricks) – Remote

Opinov8; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Remote work with flexible conditions

Globally distributed team

Continuous learning and development

Job summary

Opinov8 is seeking a remote Lead Data Platform Architect to guide enterprise data platforms across ingestion, storage and serving. You will shape master data governance, create AI-enabled workflows, and establish scalable data services for analytics teams.

The role emphasizes leadership across teams and cloud-based design. The ideal candidate has deep experience in data engineering, MDM, data governance, and ML infrastructure, with strong mentorship and collaboration with product leaders.

Qualifications

• Experience leading cross-team data engineering initiatives.
• Expertise building and operating cloud-based data platforms.
• Strong mastery of enterprise master data management and data governance.
• Experience with AI/ML data infrastructure and language-model workflows.
• Proficient software engineering for data services and APIs.
• Ability to mentor engineers and align with product leadership.

Responsibilities

• Design cloud-based data platforms and scalable pipelines across ingestion, transformation, storage and serving.
• Lead master data management, including entity resolution and stewardship.
• Integrate AI workflows such as retrieval-augmented generation into data systems.
• Build foundations for ML, feature stores, embeddings, and model ops pipelines.
• Create data services and APIs for applications and analytics teams.
• Set data quality, testing, observability, governance and deployment practices; review designs and mentor engineers.

Skills

Data engineering leadership

Distributed data platforms

Master data management

Data governance

AI/ML data infrastructure

APIs and data services

Mentoring engineers

Job description

Opinov8 is seeking a remote Lead Data Platform Architect to guide enterprise data platforms across ingestion, storage and serving. You will shape master data governance, create AI-enabled workflows, and establish scalable data services for analytics teams.

The role emphasizes leadership across teams and cloud-based design. The ideal candidate has deep experience in data engineering, MDM, data governance, and ML infrastructure, with strong mentorship and collaboration with product leaders.