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

TASQ Staffing Solutions · United States · posted today ago

Listing supplied by Himalayas. 101 Careers did not originate this post and applications are handled by the employer.

About this role

Position: Lead Consultant Data Architecture & Engineering (GDC) | Remote
Schedule: Midshift

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.

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, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs
Ability to quickly learn, adopt, and apply new technologies
Skills in data profiling and creating source-to-target mappings
Capability to provision and configure Azure data services

Python & SQL scripting
SQL and PySpark
General cloud architecture skillsable to translate requirements into data pipelines
API integration and development (preferred candidates who can create APIs)

Microsoft Fabric
Azure Cosmos DB, Data Flows, ExpressRoute, Azure Active Directory
Experience planning and executing migration strategies from on-premise systems to Azure
Power BI and semantic data modeling
AWS Glue & Azure Data Factory
AWS S3 & Azure Blob Storage
AWS Athena & Azure Databricks
AWS Redshift & Azure Synapse Analytics
AWS ECS & Azure AKS

Originally posted on Himalayas