Home Jobs Azure Data Share Engineer
Back to Jobs

Azure Data Share Engineer - Job Opportunity at Q1 Technologies

Remote, US
Full-time
Mid-level
Posted: March 7, 2025
Remote
USD 120,541.23 - 145,167.94 per year

Key Responsibilities

Design and implement Azure Data Share solutions for enterprise data distribution
Configure and manage Iceberg data share implementations across client environments
Architect data sharing solutions between Azure Data Lake systems
Implement authentication and security protocols for cross-organization data access
Integrate MS Fabric and MS Purview within Azure ecosystem
Establish and maintain data sharing governance frameworks

Requirements

Experience

1 year preferred across key technologies

Required Skills

Azure Data Share MS Fabric MS Purview OpenID Connect Data extraction and distribution Authentication systems Azure ecosystem Data Lake technologies
Advertisement
Ad Space

Sauge AI Market Intelligence

Industry Trends

The demand for Azure Data Share expertise is experiencing significant growth as organizations increasingly adopt cross-company data collaboration solutions. This trend is particularly pronounced in sectors requiring secure, compliant data sharing between partners and clients. The integration of Iceberg format support in Azure indicates a shift toward more flexible, open-source data sharing standards, reflecting broader industry movement toward vendor-agnostic solutions. The emphasis on MS Fabric and Purview knowledge suggests a growing focus on unified data governance and analytics platforms, marking a transition from siloed data management approaches.

Salary Evaluation

The offered salary range is competitive for a mid-level data engineering role, aligning with market rates for specialized Azure expertise. Given the focus on emerging technologies like MS Fabric, this range could trend upward as demand increases.

Role Significance

Typically part of a 5-8 person data engineering team, often working alongside cloud architects and security specialists.
Mid-level implementation role with significant technical responsibility and potential for architectural input.

Key Projects

Enterprise-wide data sharing platform implementations Cross-organization data collaboration frameworks Security and authentication infrastructure setup Data governance and compliance systems integration

Success Factors

Strong understanding of data sharing security patterns and best practices Ability to bridge technical requirements with business data sharing needs Experience with modern authentication protocols and identity management Proficiency in Azure's broader data service ecosystem

Market Demand

High demand with growing trajectory. The combination of Azure Data Share and modern data lake technologies represents a specialized skill set that few professionals currently possess, creating significant market opportunity.

Important Skills

Critical Skills

Azure Data Share expertise is fundamental given the role's core focus on data sharing implementations Authentication and security knowledge is crucial for ensuring secure cross-organization data access MS Fabric and Purview understanding indicates need for comprehensive data platform knowledge

Beneficial Skills

Experience with additional data lake formats beyond Iceberg Knowledge of data governance frameworks and compliance standards Familiarity with API design and implementation Understanding of data modeling and optimization techniques

Unique Aspects

Focus on Iceberg format indicates involvement with cutting-edge data lake technologies
Combination of MS Fabric and Purview suggests early adoption of Microsoft's latest data platform innovations
Emphasis on external client connectivity points to customer-facing implementations

Career Growth

2-3 years in role before advancement, depending on project complexity and leadership opportunities

Potential Next Roles

Lead Data Engineer Cloud Data Architect Data Platform Architect Technical Data Solution Lead

Company Overview

Q1 Technologies

Q1 Technologies appears to be a technology services provider focusing on modern data solutions and cloud implementations.

Likely a mid-sized technology consulting or solutions provider in the Azure ecosystem.
Remote-first organization with US market focus, suggesting modern operational approach.
Technology-forward environment with emphasis on modern tools and methodologies, typical of cloud-focused organizations.
Advertisement
Ad Space
Apply Now

Data Sources & Analysis Information

Job Listings Data

The job listings displayed on this platform are sourced through BrightData's comprehensive API, ensuring up-to-date and accurate job market information.

Sauge AI Market Intelligence

Our advanced AI system analyzes each job listing to provide valuable insights including:

  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

This integration of reliable job data with AI-powered analysis helps provide you with comprehensive insights for making informed career decisions.