Data Architecture & Engineering Lead Consultant (GDC) - remote, midshift

Position: Lead Consultant Data Architecture & Engineering (GDC) | Remote Schedule: Midshift Job Highlights: Leadership Opportunities: This position offers the chance to expand your expertise into technical leadership roles, including making technical decisions, mentoring junior team members, and building relationships with project, client, and company leadershipwhile remaining actively involved in your technical specialties.

Azure-Focused Technology: Our primary focus is on Azure, providing numerous exciting opportunities to enhance your skills within the Microsoft and Azure ecosystems. Our environment is dedicated to technical excellence and delivering exceptional client experiences in a specialized, well-defined domain.

Just six months with us can equate to years of experience elsewhere. Microsoft Partnership: Our strong global relationship with Microsoft ensures access to innovative Azure projects and direct collaboration with the teams that developed the platforman advantage unique to us.

Compensation & Culture: We offer a competitive salary, allowances, standard benefits, and performance-based bonuses (quarterly and annually). Our company promotes a positive work culture with flexibility regarding work location.

General Required Technical Skills: Proven experience leading small to medium technical teams, including task allocation, technical escalation, support, and representation in Agile ceremonies and client meetings Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments Experience developing data architectures supporting various data formatsstructured, semi-structured, and unstructured Track record of full lifecycle data warehouse implementations Understanding of data architectures necessary for data integration and processing Proficiency with data modeling tools such as ER/Studio, ER/Win, or similar Hands-on experience with Microsoft Azure Data Platform services, including Azure Data Lake, A